--- title: About eyko url: https://eyko.ai/about/ description: eyko is a decision intelligence company founded in 2018, closing the gap between seeing data and knowing what to do about it. --- eyko exists to close the gap between seeing data and knowing what to do about it. eyko is a decision intelligence company founded in 2018. The eyko platform connects to enterprise ERP systems (Oracle JDE, SAP S/4HANA, Microsoft Dynamics), CRM systems (Salesforce, HubSpot), and 100+ other data sources to generate AI-powered Playbooks. Playbooks are structured, presentation-ready documents that tell you what happened, why it happened, and what to do next. eyko is SOC 2 certified, built on Microsoft Azure and Microsoft Fabric, and trusted by enterprise customers across manufacturing, finance, and services. --- --- title: The Alternative to Dashboards url: https://eyko.ai/alternative-to-dashboards/ description: Dashboards show what happened. They do not explain why or what to do next. Discover the Decision Intelligence alternative to dashboards. --- # The Alternative to Dashboards Dashboards have been the default output of business intelligence for two decades. They organize data into charts, tables, and filters. They give teams visibility into what is happening across the business. And for a long time, that was enough. It is not enough anymore. When a metric changes on a dashboard, someone has to notice it. Then someone has to investigate it. Then someone has to explain it to the people who need to act on it. That process takes days or weeks. By the time a decision is made, the signal has aged. The problem is not that dashboards are bad. The problem is that they stop at visibility. They answer "what happened" but leave "why it happened" and "what to do about it" to humans. Every time. ## The dashboard problem - Dashboards require someone to notice a change - Investigation is manual and time-consuming - Root causes are not surfaced automatically - Recommended actions are never included - Every dashboard needs someone to explain it ## The Decision Intelligence solution - Playbooks surface signals automatically - Root cause analysis is built into every Playbook - Recommended actions are prioritized and quantified - Narratives explain the analysis in plain language - Playbooks are ready for executive review without interpretation Decision Intelligence picks up where dashboards leave off. eyko Beats generates structured Playbooks that deliver what happened, why it happened, and what to do next. From your data to executive action in minutes, not weeks. ## What to look for in a dashboard alternative 1. Does it explain why, not just show what? 2. Does it recommend actions, not just display metrics? 3. Does it include business context? 4. Does it generate analysis from a question, or require someone to build a view first? 5. Can it work alongside your existing dashboards? ## FAQ **Why are dashboards not enough?** Dashboards show you what happened. They do not explain why it happened or what to do about it. That interpretation, investigation, and alignment step falls on your team every time. Decision Intelligence closes that gap. **What is Decision Intelligence?** Decision Intelligence is the layer above business intelligence. It investigates why something happened and recommends what to do about it. It delivers structured analysis with explanation and action, not just visualization. **Do I need to replace my dashboards?** No. Decision Intelligence works alongside your existing dashboards. It picks up where they leave off, turning the questions your dashboards raise into structured, decision-ready answers. **What is an AI Playbook?** An AI Playbook is a structured, evidence-based business briefing generated from your live data. It includes an executive summary, narrative analysis, root cause investigation, and prioritized recommended actions. **How long does it take to generate a Playbook?** Minutes. Type a question or select a pre-built Idea and eyko Beats generates a complete Playbook from your connected data. No report building, no dashboard configuration. **What data sources does eyko Beats connect to?** eyko Beats connects to 100+ business systems including Oracle ERP, SAP, Salesforce, NetSuite, HubSpot, Snowflake, Workday, and many more. --- --- title: Power BI Alternative url: https://eyko.ai/alternative-to-power-bi/ description: Looking for a Power BI alternative? The problem is not the tool. It is the gap between seeing data and knowing what to do. eyko closes that gap. --- # Power BI Alternative: Decision Intelligence Beyond BI You invested in Power BI. You built the dashboards. You connected the data sources. And every Monday, someone still opens a dashboard, sees a number that moved, and asks: "What happened? Why? What do we do?" The dashboard showed the signal. But it never told anyone what it meant. This is not a Power BI problem. Power BI does what it was designed to do: visualize data. The frustration comes from expecting it to do something it was never built for: explain, investigate, and recommend. ## The shift The alternative to Power BI is not a better dashboard tool. It is a different category of output entirely. Decision Intelligence picks up where visualization leaves off. Instead of a chart that requires interpretation, you get a Playbook that delivers the interpretation, the investigation, and the recommended actions. ## What changes with Decision Intelligence - Revenue dropped 6%. Instead of drilling through 4 dashboards to find the driver, a Playbook tells you EMEA is 14% below plan with 3 root causes and 2 recommended actions. - Month-end variance review: instead of assembling a deck from dashboard screenshots, your team reviews a Playbook with the narrative, the drivers, and the priorities. - Board prep: instead of 3 days of analyst time, a Playbook generates the story directly from your live data. ## Better together Keep Power BI. It is one of the best data visualization platforms available. Add eyko Beats as the Decision Intelligence layer above it. Your dashboards show what happened. eyko Beats explains why and tells you what to do next. For a detailed feature comparison, see [eyko Beats vs Power BI](https://eyko.ai/eyko-beats-vs-power-bi/). ## FAQ **Why are teams looking for Power BI alternatives?** Most teams are not unhappy with Power BI's visualization. They are frustrated by the interpretation gap, the manual investigation, and the time between seeing a signal and acting on it. The alternative they need is not a different dashboard tool but a different type of output. **Can I keep Power BI and add eyko Beats?** Yes. eyko Beats is designed to complement Power BI, not replace it. Keep your dashboards for data exploration. Add eyko Beats as the Decision Intelligence layer that explains what your dashboards show and recommends what to do about it. **What does eyko Beats do that Power BI cannot?** Power BI visualizes data. eyko Beats investigates it. Playbooks deliver root cause analysis, structured narratives, and prioritized recommended actions. Power BI shows you the chart. eyko Beats tells you what the chart means and what to do next. **How long does it take to see results with eyko Beats alongside Power BI?** Most teams run their first Playbook within 24 hours of connecting their data. eyko Beats connects to the same data sources Power BI uses. No migration, no rebuild, no new data modeling required. **Is Decision Intelligence replacing business intelligence?** No. BI remains valuable. Decision Intelligence is the layer above it. BI answers "what happened." Decision Intelligence answers "why it happened" and "what to do about it." They work together. --- --- title: Qlik Alternative url: https://eyko.ai/alternative-to-qlik/ description: Looking for a Qlik alternative? Associative discovery finds the patterns. Decision Intelligence tells you what to do about them. --- # Qlik Alternative: From Data Discovery to Decisions Qlik's associative engine is powerful. It surfaces connections in your data that other tools miss. The technology is genuinely impressive. The frustration is what happens next. You found that sales in the Northeast are correlated with a supplier delay in the Midwest. You can see the connection on screen. But the platform does not tell you what to do about it. Discovery is the starting point. Decision is the destination. Most teams get stuck in between. ## The shift The alternative to Qlik is not a different discovery tool. It is the analytical layer that converts discoveries into decisions. Decision Intelligence takes the patterns Qlik helps you find and turns them into structured Playbooks with root cause analysis, quantified impact, and recommended actions. ## What changes with Decision Intelligence - You discovered that 3 product categories are correlated with margin decline. Instead of building a presentation to explain the finding, a Playbook quantifies the impact at $1.8M and recommends 3 specific procurement actions. - Your associative exploration revealed a link between support response time and churn. Instead of scheduling a meeting to discuss it, a Playbook identifies the 8 at-risk accounts and recommends CSM intervention by priority. - You found the signal. Instead of spending a week turning it into a recommendation, a Playbook delivers the recommendation in minutes with evidence and next steps. ## Better together Keep Qlik. Its associative engine is uniquely powerful for data discovery. Add eyko Beats as the Decision Intelligence layer above it. Qlik finds the patterns. eyko Beats turns them into structured Playbooks with root cause analysis and recommended actions. For a detailed feature comparison, see [eyko Beats vs Qlik Sense](https://eyko.ai/eyko-beats-vs-qlik/). ## FAQ **Why are teams looking for Qlik alternatives?** Teams value Qlik's associative discovery engine. The frustration is the gap between discovering a pattern and acting on it. The alternative is not a different discovery tool but an analytical layer that converts discoveries into structured, decision-ready output. **Can I keep Qlik and add eyko Beats?** Yes. Keep Qlik for associative data exploration and discovery. Add eyko Beats as the Decision Intelligence layer that generates structured Playbooks from the patterns Qlik helps you find. **How is a Playbook different from a Qlik associative analysis?** Qlik helps you explore and discover connections. Playbooks take those connections and deliver a structured briefing: what happened, why, what to do about it. Qlik finds the signal. eyko Beats delivers the response. **Does eyko Beats support associative analytics?** eyko Beats takes a different approach. Instead of open-ended associative exploration, it generates structured Playbooks that progress from observation through root cause analysis to recommended actions. The two approaches are complementary. **Do I need data modeling expertise to use eyko Beats?** No. eyko Beats connects to your business systems and generates Playbooks from a plain language prompt. No data modeling, no set analysis expressions, and no scripting required. --- --- title: The Alternative to Business Reporting url: https://eyko.ai/alternative-to-reporting/ description: Business reports take days to build and are outdated by the time they arrive. Discover structured Decision Intelligence as the alternative. --- # The Alternative to Business Reporting Business reporting has followed the same cycle for decades. Analysts pull data from multiple systems. They clean it, format it, and assemble it into a structured document. They add commentary, charts, and tables. The report goes to leadership. Leadership reads it, asks questions, and sends it back for revisions. The cycle takes days. Sometimes weeks. By the time the report is final, the numbers have moved. The context has shifted. The window for action may have closed. The problem is not the people doing the work. It is the process itself. Manual reporting is a bottleneck between data and decisions. It consumes analyst time on assembly rather than analysis. It delays leadership action. And it produces a static document that cannot answer follow-up questions. ## The reporting problem - Reports take days or weeks to assemble - Data is stale by the time the report is finished - Analysts spend time on formatting, not analysis - Reports cannot answer follow-up questions - Every reporting cycle repeats the same manual process ## The Decision Intelligence solution - Playbooks are generated in minutes from a prompt - Data comes directly from live connected systems - Analysts are freed from assembly to focus on strategy - Conversations allow follow-up questions in real time - Every analysis is fresh, structured, and actionable Decision Intelligence replaces the reporting cycle with structured, AI-generated Playbooks. eyko Beats connects to your business systems and generates a complete analysis from a plain language prompt. In minutes, not weeks. ## What to look for in a reporting alternative 1. Does it generate analysis automatically, or require manual assembly? 2. Does it connect to live data, or rely on static exports? 3. Does it include root cause analysis and recommended actions? 4. Can you ask follow-up questions after the report is generated? 5. Can it work alongside your existing reporting processes? ## FAQ **Why is traditional business reporting a problem?** Business reports take days to build, are static by the time they arrive, and cannot answer follow-up questions. The manual assembly process consumes analyst time that could be spent on strategic work. **What replaces business reporting?** Decision Intelligence generates structured analysis automatically from your live data. eyko Beats produces Playbooks that include what happened, why it happened, and what to do next, replacing the manual reporting cycle. **Do I still need business reports?** Some reporting requirements (regulatory, compliance, board packs) will always need formal reports. But the recurring operational reports that consume most analyst time can be replaced with AI-generated Playbooks that are faster, fresher, and more actionable. **How is a Playbook different from a report?** A report documents what happened. A Playbook explains what happened, investigates why, and recommends what to do about it. Reports are static. Playbooks can be explored through follow-up Conversations. **How long does it take to generate a Playbook?** Minutes. Type a question or select a pre-built Idea and eyko Beats generates a complete Playbook from your connected data. No data pulling, formatting, or revision cycles. **Can eyko Beats generate the same analysis every month automatically?** Yes. Playbooks can be scheduled and refreshed from live data. The same analysis that previously required a week of manual effort runs automatically with current numbers. --- --- title: Tableau Alternative url: https://eyko.ai/alternative-to-tableau/ description: Looking for a Tableau alternative? Beautiful charts are not the problem. The gap between visualization and action is. eyko closes it. --- # Tableau Alternative: From Visualization to Decisions Tableau makes data beautiful. The visualizations are best-in-class. Your team has built hundreds of dashboards and the data has never looked better. And yet, when margin drops, someone still has to figure out why. When the board asks "what should we do?", the answer does not come from a dashboard. It comes from a person who spent days investigating what the dashboard showed. The visualization was never the bottleneck. The interpretation was. ## The shift The alternative to Tableau is not a different visualization tool. It is a different type of analytical output. One that arrives with the explanation already built in. Decision Intelligence does not replace Tableau's visual exploration. It adds the analytical layer that turns what Tableau shows into structured, decision-ready briefings. ## What changes with Decision Intelligence - Supplier costs spiked. Instead of building a new Tableau workbook to investigate, a Playbook traces the spike to 3 vendors in one region and recommends renegotiation before the next renewal window. - Customer health scores declined across a segment. Instead of creating a cohort analysis, a Playbook identifies the 5 accounts driving the decline, the root cause, and the intervention. - Quarterly business review: instead of 12 Tableau dashboards that each tell part of the story, one Playbook delivers the complete narrative with root causes and recommendations. ## Better together Keep Tableau. It is the industry standard for data visualization. Add eyko Beats as the Decision Intelligence layer above it. Your dashboards show what happened. eyko Beats explains why and tells you what to do next. For a detailed feature comparison, see [eyko Beats vs Tableau](https://eyko.ai/eyko-beats-vs-tableau/). ## FAQ **Why are teams looking for Tableau alternatives?** Teams love Tableau's visualization. What frustrates them is the gap after the visualization: the investigation, the interpretation, and the time it takes to turn a dashboard insight into a decision. **Can I keep Tableau and add eyko Beats?** Yes. Keep Tableau for visual exploration and ad hoc analysis. Add eyko Beats as the Decision Intelligence layer that generates structured Playbooks with root cause analysis and recommended actions from the same data. **How is a Playbook different from a Tableau Story?** Tableau Stories let you narrate a sequence of dashboard views. Playbooks generate the narrative automatically from your data, including root cause investigation, quantified drivers, and prioritized recommended actions. **Do I need to rebuild my data connections?** No. eyko Beats connects to the same databases, cloud platforms, and business systems that Tableau connects to. No data migration or reconfiguration required. **Will my team still use Tableau after adding eyko Beats?** Yes. Tableau remains the best tool for visual data exploration. eyko Beats handles the structured analysis, explanation, and recommendation layer. Teams typically use Tableau to explore and eyko Beats to decide. --- --- title: eyko Blog - Resources and Insights url: https://eyko.ai/blog/ description: The latest insights on AI-powered analytics, decision intelligence, business analysis, supply chain, and cash management from the eyko team. --- The eyko blog covers AI-powered analytics, decision intelligence, business analysis, supply chain optimization, and cash management. Articles explore how enterprises can move from static dashboards to structured, decision-ready Playbooks. Topics include: - AI and machine learning in enterprise analytics - Supply chain optimization and demand forecasting - Cash management and financial analysis - ERP data integration (Oracle JDE, SAP, Microsoft Dynamics) - Business intelligence strategy and best practices - Decision intelligence frameworks Visit [eyko.ai/blog/](https://eyko.ai/blog/) for the latest articles. --- --- title: "What is Decision Intelligence? The Missing Layer Between Your Data and Your Decisions" url: https://eyko.ai/blog/what-is-decision-intelligence/ description: "Decision Intelligence turns data into decisions. Learn what it is, why BI stopped short, how AI makes it possible, and what it looks like in practice with eyko Beats." --- # What is Decision Intelligence? The Missing Layer Between Your Data and Your Decisions Decision Intelligence is the practice of turning data into decisions. It sits above traditional BI tools, data warehouses, and ERPs, connecting the data those systems already hold and performing the analytical work that has always required a human to do manually. It answers three questions: What happened? Why? And what should we do now? ## Why BI stopped short Business Intelligence was built to answer "What happened?" through reports and dashboards. Revenue is down, churn is up, a KPI missed target. That part works. But understanding why a metric changed, tracing root causes across multiple systems, and recommending corrective action still falls to analysts working manually across spreadsheets and disconnected tools. That investigation takes days or weeks while problems compound. ## Why AI changes the equation AI enables Decision Intelligence by providing three capabilities that did not exist at a practical level five years ago: - **Scale**: Cross-system analysis that used to take a team a full week runs in seconds - **Pattern recognition**: AI traces signals across sales data, supply chain, order books, and regional inventory to identify root causes, not just symptoms - **Automation**: The manual reporting cycle is replaced by a system that produces narrative, root cause, and recommended action as a single output ## Know What, Know Why, Know What Next eyko uses a three-tier framework: - **Know What**: Where BI lives. Reports and dashboards showing what happened. - **Know Why**: Where Decision Intelligence begins. Root cause analysis across connected systems. - **Know What Next**: Specific, actionable recommendations based on the analysis. ## How eyko delivers Decision Intelligence eyko Beats is a Decision Intelligence platform with four capabilities: - **Playbooks**: AI-driven analyses that identify problems, explain root causes, and recommend actions. Over 200 Ideas to start from across finance, sales, operations, and supply chain. - **Conversations**: Natural language data exploration. Ask questions in plain English, get answers grounded in your actual data. - **Pulses**: Live interactive tables and charts that stay connected to your business systems. - **Ideas**: Pre-built Playbook starting points for recurring business questions across five domains. eyko Beats connects to 100+ business systems including Oracle ERP, SAP, Salesforce, NetSuite, HubSpot, Snowflake, Workday, and Microsoft Dynamics. ## FAQ **What is the difference between Decision Intelligence and Business Intelligence?** BI tells you what happened through reports and dashboards. Decision Intelligence goes further: it explains why something happened and recommends what to do about it. Think of BI as the foundation and Decision Intelligence as the layer that turns that foundation into action. **Is Decision Intelligence the same as AI analytics?** No. AI analytics typically means using machine learning to find patterns within a single dataset. Decision Intelligence is broader. It pulls data from multiple systems, applies AI to find root causes across them, and delivers structured recommendations. AI is one of the technologies inside Decision Intelligence, but not the whole picture. **Do I need to replace my BI tools to use Decision Intelligence?** No. Your existing tools stay in place. **Who uses Decision Intelligence?** Finance teams diagnosing margin compression. Sales leaders investigating pipeline stalls. Operations teams tracing supply chain failures to root causes. It is built for business users who act on data, not the people who build reports. **What is an example of Decision Intelligence in action?** A quarterly revenue miss appears on a dashboard. In a Decision Intelligence environment, the system traces the miss to a product stockout in one region caused by a supplier lead time change, and recommends corrective actions. Hours instead of days. A root cause instead of a guess. **How is Decision Intelligence different from predictive analytics?** Predictive analytics forecasts what might happen based on historical patterns. Decision Intelligence focuses on what is happening right now, why, and what to do about it. Predictive helps you plan. Decision Intelligence helps you act. --- --- title: Careers | eyko url: https://eyko.ai/careers/ description: Work at the frontier of AI analytics. eyko is a fully remote team building decision intelligence for enterprise finance, supply chain, and operations teams. --- # Careers at eyko eyko is a 100% remote company building AI-powered decision intelligence for enterprise finance, supply chain, and operations teams. We help business leaders move from raw data to structured, decision-ready insight in minutes. ## Why eyko **Hard problems. Real impact.** Enterprise analytics is genuinely difficult. We are solving problems that BI tools have sidestepped for 20 years. Every decision ships directly to the people running businesses. **Remote by design.** Fully distributed. Async by default, collaborative by choice. **Small team. Big scope.** You will build things that matter from the ground up, alongside engineers, designers, and product people who care about craft. **Backed and growing.** Customers, revenue, and the runway to build for the long term. SOC 2 certified, built on Microsoft Azure. ## Open positions There are no open positions at this time. ## Speculative applications If you are exceptional in engineering, design, product, sales, or customer success, send a resume to careers@eyko.ai. We would rather meet you before we need you than scramble when a role opens. --- --- title: eyko Conversations url: https://eyko.ai/conversations/ description: AI-powered natural language conversations against connected business data. Ask questions in plain English, get structured answers with tables, charts, and actionable insights. --- # eyko Conversations eyko Conversations lets business users ask questions in plain English and receive structured, contextualized answers drawn from their connected operational data. Powered by eyko Beats, Conversations deliver tables, charts, narrative insights, and recommended actions in seconds. ## What are Conversations? Conversations are threaded, natural language interactions against your data. Instead of writing SQL or building dashboards, you type a question and eyko returns a complete analysis. Responses include executive summaries, ranked tables, bar charts, bullet-point recommendations, and follow-up suggestions. Each conversation maintains context across multiple questions, so you can drill deeper without starting over. Ask "who are the top customers?" then follow up with "which of those have declining sentiment?" and eyko connects the dots automatically. ## Data Sources Conversations work across five data source types: - **Playbooks**: Ask follow-up questions against any AI Playbook you have built. - **Data Streams**: Query live data streams from ERP systems (Oracle JDE, SAP S/4HANA, Microsoft Dynamics), CRMs (Salesforce, HubSpot), and 100+ other connectors. - **Documents**: Interrogate uploaded documents, reports, and spreadsheets. - **Files**: Analyze CSVs, PDFs, and other file formats directly. - **MCPs**: Connect to external model context protocols for broader intelligence. You can combine multiple data sources in a single conversation for cross-system analysis. ## Key Capabilities - **Natural language queries**: No SQL or technical skills required. Ask questions the way you think about your business. - **Rich visualizations**: Automated tables, bar charts, and structured narrative that surface patterns teams would otherwise miss. - **Multi-source intelligence**: Pull insights from Playbooks, Data Streams, Documents, Files, and MCPs in one thread. - **Collaborative threads**: Share conversations with teammates. Build on each other's questions to reach better decisions together. - **Enterprise-grade security**: SOC 2 compliant infrastructure. Data never leaves your environment. - **Instant analysis**: Structured answers generated in seconds, not hours. ## Who Uses Conversations? - **Finance teams**: Cash position analysis, receivables aging, budget variance investigation. - **Supply chain managers**: Supplier performance rankings, demand anomaly detection, inventory optimization. - **Sales leaders**: Pipeline health checks, customer revenue rankings, deal velocity analysis. - **Operations teams**: Sentiment analysis, quality metrics, process bottleneck identification. - **Executives**: Cross-functional summaries that combine data from multiple systems. ## How It Works 1. Select a data source (Playbook, Data Stream, Document, File, or MCP). 2. Type your question in plain English. 3. eyko Beats analyzes the connected data and returns a structured response. 4. Ask follow-up questions to drill deeper. Context is maintained throughout the conversation. ## FAQ **Do I need technical skills to use Conversations?** No. Conversations are designed for business users. You ask questions in plain English and eyko handles the data retrieval and analysis. **Can I combine data from multiple sources?** Yes. A single conversation can pull from Playbooks, Data Streams, Documents, Files, and MCPs simultaneously. **How fast are responses?** Most responses are generated in seconds. Complex analyses across large datasets may take slightly longer. **Is my data secure?** Yes. eyko is SOC 2 certified and built on Microsoft Azure. Your data never leaves your environment. --- --- title: Decision Intelligence vs Business Intelligence | DI vs BI url: https://eyko.ai/decision-intelligence-vs-business-intelligence/ description: BI shows what happened. Decision Intelligence explains why and recommends what to do next. Understand the fundamental difference between DI and BI. --- # Decision Intelligence vs Business Intelligence Business Intelligence (BI) is designed to visualize and explore data through dashboards and reports. Decision Intelligence (DI) goes further: it investigates why something happened, identifies root causes, and recommends what to do next. BI answers "what happened." DI answers "why it happened" and "what to do about it." They are complementary layers, not competitors. ## The evolution from visibility to decisions BI has spent two decades optimizing for visibility. Faster queries, better visualizations, more self-service. Organizations can see more data than ever. But seeing is not deciding. The bottleneck has shifted from "we cannot see our data" to "we can see everything but still take weeks to act on it." Decision Intelligence is the next evolution. It adds the interpretation, the investigation, and the recommended response that BI deliberately leaves to humans. ## What BI does well - Visualizes data in charts, graphs, and dashboards - Enables self-service exploration and ad hoc queries - Provides historical and real-time visibility into KPIs - Supports drill-down and filtering across dimensions - Democratizes data access across the organization ## Where BI stops - Does not explain why a metric changed - Does not investigate root causes automatically - Does not recommend actions - Requires human interpretation of every chart - Creates a gap between signal and decision that takes days or weeks to close ## What Decision Intelligence adds - Structured root cause analysis delivered automatically - Evidence-based recommended actions tied to data - Narrative explanations in plain language - Business context awareness (industry, role, company specifics) - The complete What / Why / What Next progression in one output ## The gap between signal and action The real cost is not in the tools. It is in the time between seeing a signal and acting on it. When a KPI deviates, the BI tool shows the change. Then someone investigates. Then someone aligns the team. Then someone decides. That cycle takes days or weeks. Decision Intelligence compresses it to minutes. ## How BI and Decision Intelligence work together This is not either/or. BI remains essential for data exploration, ad hoc analysis, and operational visibility. Decision Intelligence picks up where BI leaves off. Keep your dashboards. Add the decision layer above them. ## How eyko delivers Decision Intelligence eyko Beats is a Decision Intelligence solution that generates structured Playbooks from your business systems. Each Playbook progresses through the What, Why, and What Next framework. It connects to 100+ business systems, including the same data sources your BI tools already use. No migration, no data modeling rebuild. ## FAQ **What is the difference between Decision Intelligence and Business Intelligence?** Business Intelligence visualizes data through dashboards, charts, and reports. Decision Intelligence goes further: it investigates why metrics changed, identifies root causes, and delivers recommended actions. BI shows what happened. Decision Intelligence explains why and tells you what to do next. **Is Decision Intelligence replacing BI?** No. Decision Intelligence is the layer above BI, not a replacement for it. BI tools remain essential for data visualization, exploration, and operational monitoring. Decision Intelligence picks up where dashboards leave off. **Can I use Decision Intelligence with Power BI or Tableau?** Yes. Decision Intelligence solutions like eyko Beats work alongside your existing BI tools. Keep your dashboards for exploration. Add Playbooks for structured analysis, root cause investigation, and recommended actions from the same data. **What does a Decision Intelligence output look like?** A Playbook. It is a structured briefing that includes an executive summary, narrative analysis of root causes, supporting data visualizations, and a prioritized list of recommended actions. Unlike a dashboard that requires interpretation, a Playbook arrives ready for executive review. **Who benefits most from Decision Intelligence?** Leaders and teams who currently rely on dashboards but need to move faster from data to decision. CFOs, operations leaders, revenue teams, and business analysts who spend more time investigating and explaining data than acting on it. **How do I add Decision Intelligence to my existing BI stack?** eyko Beats connects to 100+ business systems, including the same data sources your BI tools already use. There is no migration, no rebuild, and no new data modeling. Connect your systems and generate your first Playbook within 24 hours. --- --- title: eyko Events url: https://eyko.ai/events/ description: Join the eyko Beats series. Fortnightly 30-minute briefings on Decision Intelligence, the Why behind your reports, and the What Next. --- # eyko Events eyko hosts and participates in webinars, live demos, industry conferences, and community sessions focused on AI-powered Decision Intelligence for enterprise teams. ## Live webinars - eyko Beats: Know Why, Know What Next. The recurring fortnightly 30-minute series on Decision Intelligence. Why reports and dashboards are no longer enough, and how to get to the Why and the What Next. Hosted by Mark Hudson and Paul Sutton. Next session August 4, 2026 at 16:00 BST (15:00 UTC). Register at https://watch.getcontrast.io/sessions/eyko-beats-know-why-know-what-next. - What is Decision Intelligence? Live on August 27, 2026 at 16:00 BST (15:00 UTC). Register at https://watch.getcontrast.io/register/eyko-make-better-decisions-what-is-decision-intelligence. ## On-demand webinars - Protect the cash before it leaves. Watch at https://watch.getcontrast.io/register/eyko-make-better-decisions-protect-the-cash-before-it-leaves. - eyko Beats: Know Why, Know What Next (recorded session). Watch at https://watch.getcontrast.io/register/eyko-beats-know-why-know-what-next-f11cece2. ## What to Expect eyko events cover practical applications of AI Playbooks across finance, supply chain, sales, marketing, and operations. Topics include connecting ERP and CRM systems, building AI Playbooks, using Conversations for natural language data access, and deploying Pulses for live interactive reporting. ## Past Topics - AI Playbooks for finance teams: cash management, receivables analysis, and budget variance - Supply chain Decision Intelligence: demand sensing, tariff mitigation, and supplier risk - From dashboards to decisions: why traditional BI falls short - Live product demos: building your first Playbook in under 5 minutes --- --- title: eyko Beats vs Hubble url: https://eyko.ai/eyko-beats-vs-hubble/ description: How eyko Beats compares to Hubble by insightsoftware for Oracle ERP. From financial reporting to structured Decision Intelligence. --- # eyko Beats vs Hubble Hubble (by insightsoftware) is a financial reporting and analysis tool built for Oracle ERP environments, including JD Edwards and E-Business Suite. It is widely used for budgeting, financial consolidation, and GL reporting directly from Oracle data. eyko Beats connects to Oracle ERP systems and delivers structured Playbooks that progress from what happened through root cause analysis to recommended actions. ## Key differences **Financial reporting vs Decision Intelligence.** Hubble delivers formatted financial statements, budgets, and consolidations from Oracle ERP. eyko Beats delivers structured Playbooks with root cause analysis and recommended actions across all business functions. **Oracle and finance-focused vs cross-functional.** Hubble focuses on Oracle ERP financial data. eyko Beats connects to Oracle ERP and 100+ additional business systems, spanning finance, supply chain, sales, marketing, and customer operations. **Root cause analysis and recommendations.** Hubble delivers the financial numbers. eyko Beats investigates why those numbers moved and recommends what to do about it. **Business context.** Hubble reports financial data as-is from Oracle. eyko Skills load your industry dynamics and operational definitions directly into the analysis. ## Feature comparison | Feature | Hubble | eyko Beats | |---------|--------|------------| | Primary output | Financial reports, budgets, and consolidations | Structured Playbooks with narratives and recommendations | | Oracle ERP support | JD Edwards, E-Business Suite | Oracle ERP plus 100+ additional business systems | | Answers "why it happened" | Manual investigation required | Automated root cause analysis | | Answers "what to do next" | No | Prioritized recommended actions | | Financial focus | Deep GL, budgeting, consolidation | Finance plus supply chain, sales, marketing, customer ops | | Natural language queries | No | Conversations with multi-turn analysis | ## Better together eyko Beats is not a replacement for Hubble. Keep Hubble for Oracle financial reporting. Add eyko Beats as the Decision Intelligence layer above it. ## FAQ **Does eyko Beats support JD Edwards and E-Business Suite?** Yes. eyko Beats connects to Oracle ERP environments including JD Edwards and E-Business Suite, along with 100+ additional business systems. **Does eyko Beats handle financial consolidation?** eyko Beats is not a financial consolidation tool. It is a Decision Intelligence solution that analyzes your financial and operational data to deliver structured decisions. For consolidation workflows, Hubble remains the right tool. eyko Beats adds the decision layer above it. **Can eyko Beats analyze data beyond Oracle financials?** Yes. eyko Beats combines Oracle ERP financial data with supply chain, sales, marketing, and customer data from 100+ connected systems for holistic decision intelligence. --- --- title: eyko Beats vs Power BI url: https://eyko.ai/eyko-beats-vs-power-bi/ description: How eyko Beats compares to Power BI. Dashboards visualize data. Playbooks explain what happened, why, and what to do next. --- # eyko Beats vs Power BI Power BI is one of the most widely used business intelligence tools in the world. It excels at data visualization, interactive dashboards, and self-service reporting across the Microsoft ecosystem. eyko Beats is a Decision Intelligence solution that connects to the same data sources but delivers structured Playbooks explaining what happened, why it happened, and what to do next. ## Key differences **Output format.** Power BI delivers dashboards you explore. eyko Beats delivers Playbooks that explain and recommend. The gap between seeing a chart and knowing what to do about it is where eyko operates. **Root cause analysis.** When a KPI moves in Power BI, someone has to investigate why. eyko Beats traces the drivers automatically and presents them in a structured narrative. **Business context.** Power BI analyzes data in isolation. eyko Skills load your industry dynamics, department priorities, and operational definitions directly into the analysis. **Time to insight.** Power BI requires building reports and dashboards before analysis can begin. eyko Beats generates a complete Playbook from a plain language prompt in minutes. ## Feature comparison | Feature | Power BI | eyko Beats | |---------|----------|------------| | Primary output | Dashboards and reports | Structured Playbooks with narratives and recommendations | | Answers "what happened" | Yes | Yes | | Answers "why it happened" | Manual investigation required | Automated root cause analysis | | Answers "what to do next" | No | Prioritized recommended actions | | Natural language queries | Q&A feature with limited depth | Conversations with multi-turn analysis | | Business context | Not included | eyko Skills load industry, persona, and company context | | Pre-built analysis | Template reports | 200+ Ideas across 5 business domains | | Implementation | Requires data modeling and report building | Connects to systems and generates Playbooks in minutes | ## Better together eyko Beats is not a replacement for Power BI. It adds a Decision Intelligence layer over your existing stack. Keep Power BI for reporting and dashboarding. Add eyko Beats as the decision layer above it. ## FAQ **Can eyko Beats replace Power BI?** eyko Beats is designed to complement, not replace, your existing BI tools. It picks up where Power BI leaves off, turning the questions your dashboards raise into structured, decision-ready answers with recommendations. **Does eyko Beats connect to the same data sources as Power BI?** Yes. eyko Beats connects to 100+ business systems including all major databases, cloud platforms, ERPs, and CRMs that Power BI connects to. **How is a Playbook different from a Power BI report?** A Power BI report shows metrics and charts that require human interpretation. A Playbook delivers a structured briefing with an executive summary, narrative analysis, root cause investigation, and prioritized recommended actions. **Does eyko Beats require report building?** No. Type a plain language prompt or select a pre-built Idea and eyko generates a complete Playbook from your connected data. No report design, DAX formulas, or dashboard configuration. **Is eyko Beats better than Power BI?** They solve different problems. Power BI is one of the best data visualization tools available. eyko Beats is a Decision Intelligence solution that delivers structured analysis with explanation and action. The question is whether your team needs more dashboards or more decisions. --- --- title: eyko Beats vs Qlik Sense url: https://eyko.ai/eyko-beats-vs-qlik/ description: How eyko Beats compares to Qlik Sense. Associative analytics meets structured Decision Intelligence. --- # eyko Beats vs Qlik Sense Qlik Sense is known for its associative analytics engine, which lets users explore connections across data sets without pre-defined queries. It is a powerful tool for discovery-driven analysis. eyko Beats takes a different approach. Instead of open-ended exploration, it delivers structured Playbooks that progress from what happened through why it happened to what to do next. ## Key differences **Associative exploration vs structured decisions.** Qlik Sense lets you explore associations across data sets. eyko Beats delivers structured Playbooks with a clear progression from what happened to why to what to do next. **Discovery-driven vs problem-driven.** Qlik is built for open-ended discovery. eyko Beats is built for structured problem solving. You ask a question and receive a complete analysis with root cause investigation and recommended actions. **Business context.** Qlik Sense analyzes data associations without business context. eyko Skills load your industry dynamics, department priorities, and operational definitions directly into the analysis. **Time to decision.** Qlik Sense requires building apps and data models before exploration can begin. eyko Beats generates a complete Playbook from a plain language prompt in minutes. ## Feature comparison | Feature | Qlik Sense | eyko Beats | |---------|------------|------------| | Primary output | Associative dashboards and visualizations | Structured Playbooks with narratives and recommendations | | Answers "what happened" | Yes, through associative exploration | Yes, through structured analysis | | Answers "why it happened" | Manual exploration required | Automated root cause analysis | | Answers "what to do next" | No | Prioritized recommended actions | | AI features | Augmented intelligence with Insight Advisor | AI Playbooks with What, Why, and What Next framework | | Business context | Not included | eyko Skills load industry, persona, and company context | | Implementation | Requires data modeling and app development | Connects to systems and generates Playbooks in minutes | ## Better together eyko Beats is not a replacement for Qlik Sense. It adds a Decision Intelligence layer over your existing stack. Keep Qlik for data discovery and add eyko Beats as the decision layer above it. ## FAQ **Can eyko Beats replace Qlik Sense?** eyko Beats is designed to complement, not replace, your existing BI tools. It picks up where Qlik Sense leaves off, turning the associations and patterns you discover into structured, decision-ready analysis. **Does eyko Beats support associative analytics?** eyko Beats takes a different approach. Rather than associative exploration, it uses AI to generate structured Playbooks that automatically trace root causes and recommend actions. You can explore further through Conversations, which support multi-turn follow-up analysis. **Is eyko Beats better than Qlik Sense?** They solve different problems. Qlik Sense is a powerful tool for associative data exploration. eyko Beats is a Decision Intelligence solution that delivers structured analysis with explanation and recommended actions. --- --- title: eyko Beats vs ReportsNow url: https://eyko.ai/eyko-beats-vs-reportsnow/ description: How eyko Beats compares to ReportsNow for Oracle ERP reporting. Move from static reports to structured Decision Intelligence. --- # eyko Beats vs ReportsNow ReportsNow (by insightsoftware) is a widely used reporting tool designed specifically for Oracle ERP environments, including JD Edwards, E-Business Suite, and PeopleSoft. It excels at ad hoc reporting, financial statements, and operational reports directly from Oracle data. eyko Beats connects to Oracle ERP systems and goes further: it generates structured Playbooks that explain what happened, why it happened, and what to do next. ## Key differences **Reporting tool vs Decision Intelligence.** ReportsNow delivers formatted reports from Oracle ERP data. eyko Beats delivers structured Playbooks with root cause analysis and recommended actions. **Oracle-only vs multi-source.** ReportsNow is designed for Oracle ERP. eyko Beats connects to Oracle ERP and 100+ additional business systems for cross-functional analysis. **Root cause analysis and recommendations.** ReportsNow delivers the numbers. eyko Beats investigates why those numbers moved and recommends what to do about it. **Business context.** ReportsNow reports data as-is from Oracle. eyko Skills load your industry dynamics and operational definitions directly into the analysis. ## Feature comparison | Feature | ReportsNow | eyko Beats | |---------|------------|------------| | Primary output | Ad hoc reports and financial statements | Structured Playbooks with narratives and recommendations | | Oracle ERP support | JD Edwards, E-Business Suite, PeopleSoft | Oracle ERP plus 100+ additional business systems | | Answers "why it happened" | Manual investigation required | Automated root cause analysis | | Answers "what to do next" | No | Prioritized recommended actions | | Multi-source analysis | Oracle-focused | Connects Oracle with CRM, cloud, and other systems | | Natural language queries | No | Conversations with multi-turn analysis | ## Better together eyko Beats is not a replacement for ReportsNow. Keep ReportsNow for Oracle ERP reporting. Add eyko Beats as the Decision Intelligence layer above it. ## FAQ **Does eyko Beats support JD Edwards, E-Business Suite, and PeopleSoft?** Yes. eyko Beats connects to Oracle ERP environments including JD Edwards, E-Business Suite, and PeopleSoft, along with 100+ additional business systems. **Does eyko Beats work with on-premise Oracle ERP?** Yes. eyko Beats connects to both on-premise and cloud Oracle ERP environments. Your data stays in your environment. **Can eyko Beats analyze data across Oracle and non-Oracle systems?** Yes. eyko Beats combines Oracle ERP data with CRM, cloud, marketing, and operational data from 100+ connected systems for cross-functional decision intelligence. --- --- title: eyko Beats vs Tableau url: https://eyko.ai/eyko-beats-vs-tableau/ description: How eyko Beats compares to Tableau. Beautiful charts meet structured decisions. See where visualization ends and Decision Intelligence begins. --- # eyko Beats vs Tableau Tableau is the industry standard for data visualization. It produces stunning, interactive dashboards that help teams explore and understand their data visually. eyko Beats is a Decision Intelligence solution that starts where visualization ends. Instead of building charts that require interpretation, eyko generates structured Playbooks that explain what happened, investigate why, and recommend what to do next. ## Key differences **Visual exploration vs structured decisions.** Tableau excels at visual exploration. eyko Beats delivers structured decision output: Playbooks with executive summaries, root cause analysis, and recommended actions. **Builder skill required.** Tableau requires analysts who can design dashboards, prepare data, and build calculated fields. eyko Beats generates a complete Playbook from a plain language prompt. **Business context.** Tableau analyzes data without business context. eyko Skills load your industry dynamics, department priorities, and operational definitions directly into the analysis. **Time to decision.** A Tableau dashboard takes days or weeks to build. eyko Beats generates a complete Playbook with root cause analysis and recommended actions in minutes. ## Feature comparison | Feature | Tableau | eyko Beats | |---------|---------|------------| | Primary output | Interactive dashboards and visualizations | Structured Playbooks with narratives and recommendations | | Answers "what happened" | Yes, through visualization | Yes, through structured analysis | | Answers "why it happened" | Manual investigation required | Automated root cause analysis | | Answers "what to do next" | No | Prioritized recommended actions | | Natural language queries | Ask Data feature | Conversations with multi-turn analysis | | Business context | Not included | eyko Skills load industry, persona, and company context | | Implementation | Requires data preparation and dashboard design | Connects to systems and generates Playbooks in minutes | ## Better together eyko Beats is not a replacement for Tableau. It adds a Decision Intelligence layer over your existing stack. Keep Tableau for visualization and dashboarding. Add eyko Beats as the decision layer above it. ## FAQ **Can eyko Beats replace Tableau?** eyko Beats is designed to complement, not replace, your existing BI tools. It picks up where Tableau leaves off, turning visual insights into structured, decision-ready analysis with root cause investigation and recommended actions. **Does eyko Beats produce visualizations?** Yes. Playbooks include charts, tables, and visual elements as part of the structured analysis. The difference is that visualizations in eyko Beats support a narrative and recommended actions rather than standing alone as the primary output. **Is eyko Beats better than Tableau?** They solve different problems. Tableau is the industry standard for data visualization. eyko Beats is a Decision Intelligence solution that delivers structured analysis with explanation and recommended actions. The question is whether your team needs more visual exploration or more structured decisions. --- --- title: eyko Beats - Four Tools. One Platform. Smarter Decisions. url: https://eyko.ai/eyko-beats/ description: eyko Beats brings together Playbooks, Conversations, Pulses, and Ideas to take you from raw data to executive action in minutes. --- eyko Beats is the complete toolkit for AI-powered business decisions. It combines four purpose-built tools, Playbooks, Conversations, Pulses, and Ideas, into a single platform that connects to your existing ERP, CRM, and cloud systems. Each tool addresses a different stage of the decision-making process. Together, they replace the gap between dashboards and action. ## AI Playbooks Playbooks deliver structured decision intelligence: what happened, why it happened, and what to do next. Each Playbook is a complete, AI-generated analysis document with narratives, data tables, charts, and ranked recommendations. Playbooks connect to your Oracle, SAP, Salesforce, NetSuite, Snowflake, or any of 100+ supported data sources and generate executive-ready output in minutes. Key capabilities: - Three-layer framework: What, Why, What Next - Context-aware through eyko Skills (industry, persona, company, subject knowledge) - Connects to ERP, CRM, databases, and cloud platforms - Generates in minutes, not days or weeks ## Conversations Conversations deliver deep, multi-turn analysis through natural language dialogue. Ask a question, get a response complete with inline tables, charts, and contextual follow-up questions. Conversations combine the depth of a consultant with the speed of AI. Key capabilities: - Multi-turn dialogue with tables and charts inline - Contextual follow-up questions suggested after every response - Supply chain, finance, sentiment, and custom analysis scenarios - No SQL or technical skills required ## Pulses Pulses surface your live business data as interactive tables you can explore, expand, and drill into. No SQL. No pivot tables. Ask a question in natural language and the numbers appear in a structured, browsable format with drill-down into any row. Key capabilities: - Customer 360, financial statement, and sales pipeline views - Expand any row for deeper detail - Summary metrics with trend indicators - Built for business users, not data engineers ## Ideas Ideas are pre-built Playbook templates for the business questions that keep teams up at night. 30+ Ideas span five business functions: Customer, Supply Chain, Sales, Marketing, and Finance. Select one, connect your data, and get a full What, Why, and What Next analysis in seconds. Available categories: - **Customer**: Upsell Timing, Warranty Claims, Propensity to Buy, NRR Forecasting, Needs Forecasting, Credit Risk - **Supply Chain**: Demand Anomaly, Tariff Mitigation, Shipment Risk, Demand Sensing, Circular Economy, Disruption Scoring - **Sales**: Cycle Optimization, Optimal Pricing, Forecast Accuracy, Deal Size, Rep Performance, Pipeline Coverage - **Marketing**: Event ROI, Landing Page Conversion, Creative Analysis, Audience Fatigue, Affordability Messaging, Micro-Segmentation - **Finance**: Procurement ROI, Tail Spend, Inflation Margin, KPI Anomaly, Risk Scoring, Rate Sensitivity ## How eyko Beats fits your stack eyko Beats connects to 100+ widely used business systems. No rip-and-replace. No heavy data transformation. No new reporting layer. Your systems and data stay in place. eyko connects the dots. ## FAQ **How is eyko Beats different from Power BI or Tableau?** BI tools are designed to visualize and explore data. eyko Beats is designed to resolve business problems. Playbooks structure the explanation, identify root causes, and outline recommended actions. Conversations let you explore further through dialogue. Pulses give you instant data access. Ideas provide ready-made starting points. **Do we need to replace our existing BI tools?** No. eyko Beats works alongside your existing systems. It picks up where dashboards leave off, turning the questions your reports raise into structured, decision-ready answers. **What systems does eyko Beats connect to?** 100+ systems including Salesforce, SAP, Oracle JDE, NetSuite, HubSpot, Snowflake, Workday, Microsoft Dynamics, and many more. **How long does implementation take?** Most environments begin running Playbooks within 24 hours once connections are established. No heavy implementation project required. **Who is eyko Beats for?** Finance leaders, operations teams, revenue teams, supply chain managers, customer success leaders, and business analysts who need structured clarity around complex business problems. --- --- title: Decision Intelligence Glossary url: https://eyko.ai/glossary/ description: 74 definitions of Decision Intelligence, AI analytics, and eyko platform terms. Written for business leaders, analysts, and AI agents. --- # Decision Intelligence Glossary eyko's glossary defines 74 terms across the Decision Intelligence category, including eyko platform capabilities (Beats, Playbooks, Skills, Ideas, Pulses, Conversations), analytical frameworks (Know What / Know Why / Know What Next, The Decision Layer), business processes (Order to Cash, Source to Pay, Cash and Treasury Management), and AI analytics concepts (autonomous analytics, explainable AI, predictive analytics, semantic layer). ## Key terms **Decision Intelligence**:A category of business software that goes beyond data visualization to explain what is happening in a business, why it is happening, and what should be done about it. **AI Playbook**:A structured, evidence-based business briefing generated by eyko Beats from an organization's live data, progressing through what happened, why it happened, and what to do next. **eyko Beats**:eyko's Decision Intelligence platform. Connects to ERP, CRM, finance, supply chain, and operations systems to generate AI Playbooks from plain language prompts. **Know What / Know Why / Know What Next**:The three-part analytical framework structuring every eyko Playbook. **The Decision Layer**:The analytical tier above traditional BI, where data is interpreted, root causes identified, and actions recommended. **eyko Skills**:Structured knowledge modules that load business context into eyko Beats before a Playbook is generated. **eyko Ideas**:30 pre-built Playbook templates for recurring business questions across Customer, Supply Chain, Sales, Marketing, and Financials. **Pulses**:eyko Beats capability that monitors data and surfaces performance alerts when metrics deviate from expected ranges. **Conversations**:eyko Beats capability for natural language follow-up questions within a Playbook context. ## FAQ **What is Decision Intelligence?** Decision Intelligence is the category of software above business intelligence. Where BI shows you what happened, Decision Intelligence explains why it happened and tells you what to do about it. **How many terms are in the glossary?** 74 terms across letters A, B, C, D, E, G, I, K, L, M, N, O, P, R, S, T, and W. **Does the glossary cover eyko-specific terms?** Yes. It covers both category-level terms (autonomous analytics, predictive analytics engine, semantic layer) and eyko platform capabilities (Beats, Skills, Ideas, Pulses, Conversations, Playbooks). --- --- title: How much are you paying to reach the same person twice? url: https://eyko.ai/ideas/audience-overlap-detection/ description: Find where your audience segments overlap across channels and campaigns. AI Playbooks identify wasted impressions and recommend consolidation. --- # How much are you paying to reach the same person twice? Find where your audience segments overlap across channels and campaigns. AI Playbooks identify wasted impressions and recommend consolidation. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 128,000 audience records analyzed across 5 channels. 38% overlap found between LinkedIn prospecting and Google remarketing. 22% additional overlap between Meta lookalike and email nurture. $186K in annualized wasted impressions identified. Implementing exclusion lists and frequency caps could recover 14% of paid media efficiency. ## FAQ See the page at https://eyko.ai/ideas/audience-overlap-detection/ for frequently asked questions about this analysis. --- --- title: Where are your budgets actually breaking down? url: https://eyko.ai/ideas/budget-variance-analysis/ description: Automatically identify and explain budget variances across departments. AI Playbooks trace variances to root causes and recommend corrective actions. --- # Where are your budgets actually breaking down? Automatically identify and explain budget variances across departments. AI Playbooks trace variances to root causes and recommend corrective actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 23 material variances identified across 8 cost centers totaling $3.2M unfavorable. 16 variances (71% of total) show recurring quarterly patterns. Supplier price drift accounts for 48% of recurring variance. Corrective actions project $1.8M in avoidable variance over the remaining fiscal year if implemented within 30 days. ## FAQ See the page at https://eyko.ai/ideas/budget-variance-analysis/ for frequently asked questions about this analysis. --- --- title: Which campaigns actually drive revenue? url: https://eyko.ai/ideas/campaign-attribution/ description: Trace revenue back to the campaigns that influenced it. AI Playbooks connect multi-touch attribution data to actual pipeline and closed deals. --- # Which campaigns actually drive revenue? Trace revenue back to the campaigns that influenced it. AI Playbooks connect multi-touch attribution data to actual pipeline and closed deals. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 3,200 closed-won opportunities analyzed across 14 active campaigns. 62% of deals involved 5 or more touchpoints before conversion. $4.1M in pipeline was misattributed under last-click models. Reallocating budget based on multi-touch influence could improve pipeline ROI by an estimated 28% next quarter. ## FAQ See the page at https://eyko.ai/ideas/campaign-attribution/ for frequently asked questions about this analysis. --- --- title: Do you know where your cash will be in 90 days? url: https://eyko.ai/ideas/cash-flow-forecasting/ description: Predict cash positions with rolling accuracy that improves as new data arrives. AI Playbooks surface liquidity risks and recommend treasury actions. --- # Do you know where your cash will be in 90 days? Predict cash positions with rolling accuracy that improves as new data arrives. AI Playbooks surface liquidity risks and recommend treasury actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 13-week rolling forecast projects cash declining from $7.2M to $4.8M. Week 6 flagged with potential breach of $3M minimum operating threshold. $2.1M in concentrated payables and $1.4M in projected receivables delays are the primary drivers. Corrective actions could improve the week-6 position by an estimated $1.9M. ## FAQ See the page at https://eyko.ai/ideas/cash-flow-forecasting/ for frequently asked questions about this analysis. --- --- title: Is your marketing budget in the right channels? url: https://eyko.ai/ideas/channel-budget-optimization/ description: Allocate marketing spend across channels based on marginal return, not historical habit. AI Playbooks find the optimal budget mix for pipeline. --- # Is your marketing budget in the right channels? Allocate marketing spend across channels based on marginal return, not historical habit. AI Playbooks find the optimal budget mix for pipeline. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $2.4M quarterly marketing spend analyzed across 7 channels. Paid search hit diminishing returns above $140K/quarter ($0.42 marginal pipeline per dollar). Content syndication is underinvested at $3.80 pipeline per dollar with room to scale. Optimal reallocation projects $266K additional pipeline per quarter with the same total budget. ## FAQ See the page at https://eyko.ai/ideas/channel-budget-optimization/ for frequently asked questions about this analysis. --- --- title: Which customers are about to leave? url: https://eyko.ai/ideas/churn-prediction/ description: Predict which customers are at risk of leaving before they disengage. AI Playbooks identify churn signals and recommend retention actions. --- # Which customers are about to leave? Predict which customers are at risk of leaving before they disengage. AI Playbooks identify churn signals and recommend retention actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 accounts flagged with elevated churn risk representing $2.8M ARR. NPS dropped 12 points in the at-risk cohort over 90 days. 3 accounts have open escalations older than 30 days. Immediate intervention recommended for 5 accounts entering renewal window within 45 days. ## FAQ See the page at https://eyko.ai/ideas/churn-prediction/ for frequently asked questions about this analysis. --- --- title: You know customers are leaving. Do you know why? url: https://eyko.ai/ideas/churn-root-cause-analysis/ description: Stop guessing why customers churn. AI Playbooks trace root causes across usage, support, and engagement data to reveal the real drivers. --- # You know customers are leaving. Do you know why? Stop guessing why customers churn. AI Playbooks trace root causes across usage, support, and engagement data to reveal the real drivers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 87 churned accounts analyzed across two quarters ($3.6M lost ARR). Three root causes explain 78% of all churn: support response delays, onboarding gaps, and product misfit. 62% of churned accounts had unresolved escalations pre-cancellation. Accounts below 40% onboarding completion churn at 5x the baseline rate. ## FAQ See the page at https://eyko.ai/ideas/churn-root-cause-analysis/ for frequently asked questions about this analysis. --- --- title: Which content actually generates pipeline? url: https://eyko.ai/ideas/content-roi-analysis/ description: Measure which content assets generate pipeline and which generate only pageviews. AI Playbooks connect content engagement to revenue outcomes. --- # Which content actually generates pipeline? Measure which content assets generate pipeline and which generate only pageviews. AI Playbooks connect content engagement to revenue outcomes. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 186 content assets analyzed against 1,400 closed-won opportunities. 12% of assets drive 68% of content-influenced pipeline. Top 10 assets generate 4.2x more pipeline per production dollar than bottom quartile. 48 assets showed zero pipeline attribution over 12 months and are candidates for retirement. ## FAQ See the page at https://eyko.ai/ideas/content-roi-analysis/ for frequently asked questions about this analysis. --- --- title: What does your fastest path to revenue look like? url: https://eyko.ai/ideas/conversion-path-analysis/ description: Map the actual sequences buyers follow from first touch to closed deal. AI Playbooks reveal which paths convert and which ones stall. --- # What does your fastest path to revenue look like? Map the actual sequences buyers follow from first touch to closed deal. AI Playbooks reveal which paths convert and which ones stall. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 2,800 buyer journeys reconstructed across 12 distinct path clusters. Top 3 paths drive 58% of closed-won revenue and convert 2.6x faster. Deals including technical validation within 14 days of demo close at 42% vs 18% without. 140 active opportunities identified on historically stalled paths. ## FAQ See the page at https://eyko.ai/ideas/conversion-path-analysis/ for frequently asked questions about this analysis. --- --- title: Are you treating all your customers the same? url: https://eyko.ai/ideas/customer-segmentation/ description: Dynamically segment your customer base using behavioral, demographic, and value signals. AI Playbooks reveal segments that respond differently. --- # Are you treating all your customers the same? Dynamically segment your customer base using behavioral, demographic, and value signals. AI Playbooks reveal segments that respond differently. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 7 distinct behavioral segments identified across 4,200 accounts. 3 segments (38% of base) respond 2.4x better to personalized outreach. 22% of marketing spend currently targets segments with below-average conversion. Reallocating budget to high-response clusters could recover an estimated $340K in annual spend efficiency. ## FAQ See the page at https://eyko.ai/ideas/customer-segmentation/ for frequently asked questions about this analysis. --- --- title: Do you know what each deal is really worth? url: https://eyko.ai/ideas/deal-size-prediction/ description: Forecast expected deal values based on early-stage characteristics. AI Playbooks help prioritize high-value opportunities earlier. --- # Do you know what each deal is really worth? Forecast expected deal values based on early-stage characteristics. AI Playbooks help prioritize high-value opportunities earlier. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Deal size prediction accuracy improved from 61% to 84% using early-stage signal modeling. 12 deals re-scored upward with $2.4M in hidden pipeline value surfaced. 8 deals identified as over-estimated by 25%+ and flagged for review. Top 3 predictive signals: modules discussed, company size, buyer seniority. ## FAQ See the page at https://eyko.ai/ideas/deal-size-prediction/ for frequently asked questions about this analysis. --- --- title: How confident are you in your demand forecast? url: https://eyko.ai/ideas/demand-forecasting/ description: Predict demand by blending sales history with market signals. AI Playbooks surface forecast gaps and recommend inventory adjustments. --- # How confident are you in your demand forecast? Predict demand by blending sales history with market signals. AI Playbooks surface forecast gaps and recommend inventory adjustments. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Forecast error reduced from 22% to 9% after incorporating real-time market signals. $1.8M in excess inventory identified across 2 softening categories. 3 product lines flagged for demand acceleration not yet reflected in the current plan. Immediate rebalancing recommended to avoid $2.4M in potential stockout losses over the next 60 days. ## FAQ See the page at https://eyko.ai/ideas/demand-forecasting/ for frequently asked questions about this analysis. --- --- title: What is demand telling you right now? url: https://eyko.ai/ideas/demand-sensing/ description: Detect real-time demand shifts using point-of-sale and market signals. AI Playbooks surface emerging trends before they hit your forecast. --- # What is demand telling you right now? Detect real-time demand shifts using point-of-sale and market signals. AI Playbooks surface emerging trends before they hit your forecast. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 3 categories showing demand acceleration not in current forecast. POS velocity up 14% week-over-week in the Southeast region across 2 SKU clusters. $2.1M revenue opportunity if inventory repositioned within 10 days. Web search signals confirmed demand-led trend 8 days before POS data reflected the shift. ## FAQ See the page at https://eyko.ai/ideas/demand-sensing/ for frequently asked questions about this analysis. --- --- title: Where is your supply chain most vulnerable? url: https://eyko.ai/ideas/disruption-vulnerability-scoring/ description: Score supply chain nodes by vulnerability to disruption. AI Playbooks identify single points of failure before they cascade. --- # Where is your supply chain most vulnerable? Score supply chain nodes by vulnerability to disruption. AI Playbooks identify single points of failure before they cascade. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Composite risk index 67/100 across 148 supply chain nodes. 4 single-source critical SKUs identified with no qualified backup supplier. Lead time variance increased 18% across 3 regions over the past quarter. Safety stock levels 22% below threshold for high-variability items. Immediate action on the top 12 nodes reduces composite risk to 39/100. ## FAQ See the page at https://eyko.ai/ideas/disruption-vulnerability-scoring/ for frequently asked questions about this analysis. --- --- title: eyko Ideas - Pre-Built AI Playbook Templates url: https://eyko.ai/ideas/ description: 30 pre-built AI Playbook starting points across Customer, Supply Chain, Sales, Marketing, and Finance. --- eyko Ideas are pre-built Playbook starting points for the business questions that matter most. Pick an idea, connect your data, and get a ranked Playbook in seconds. 30 Ideas are available across five business functions. ## Customer (6 Ideas) - **Upsell Timing Optimization** - Identify the optimal moment to present upsell opportunities to each customer. - **Warranty Claim Prediction** - Predict which products and customers are likely to generate warranty claims using sales, quality, and support data. - **Propensity to Buy** - Predict which prospects are most likely to convert into customers. - **Net Revenue Retention Forecasting** - Forecast NRR by modeling expansion, contraction, and churn across your customer base simultaneously. - **Customer Needs Forecasting** - Anticipate what customers will need next based on behavioral signals. - **Credit Risk Re-Scoring** - Re-assess customer payment risk as interest rate changes affect their borrowing capacity. ## Supply Chain (6 Ideas) - **Demand Anomaly Detection** - Spot unusual demand patterns that signal emerging trends or issues. - **Tariff Mitigation Planning** - Recommend sourcing shifts that minimize tariff impact while preserving quality, lead time, and supplier reliability. - **Inbound Shipment Risk** - Predict delays and disruptions in inbound shipments before they cascade. - **Demand Sensing** - Detect real-time demand shifts using point-of-sale and market signals. - **Circular Economy Opportunity Detection** - Identify waste streams and return flows that could be converted into reuse or recycling revenue. - **Disruption Vulnerability Scoring** - Score supply chain nodes by predicted vulnerability to disruption. ## Sales (6 Ideas) - **Sales Cycle Optimization** - Identify the activities and sequences that shorten time to close. - **Optimal Pricing** - Model price sensitivity to find the sweet spot that maximizes revenue. - **Sales Forecast Accuracy Improvement** - Identify and correct systematic biases in your team's forecasting. - **Deal Size Prediction** - Forecast expected deal values based on early-stage deal characteristics. - **Rep Performance Prediction** - Forecast which reps will hit quota and who needs coaching. - **Pipeline Coverage Forecasting** - Forecast whether current pipeline will meet future revenue targets. ## Marketing (6 Ideas) - **Event ROI Prediction** - Predict the pipeline and revenue impact of events before committing budget. - **Landing Page Conversion Prediction** - Predict landing page performance and recommend optimization priorities. - **Creative Element Analysis** - Identify which visual and copy elements drive the highest engagement. - **Audience Fatigue Detection** - Detect when audiences become unresponsive to repeated messaging and recommend pivots. - **Affordability-Driven Messaging** - Predict which value-focused messages resonate with customers under affordability pressure. - **Audience Micro-Segmentation** - Discover granular audience segments that respond differently to messaging. ## Finance (6 Ideas) - **Procurement ROI Prediction** - Predict the return on procurement initiatives and vendor changes. - **Tail Spend Detection** - Identify and categorize unmanaged procurement spend that falls outside contract governance. - **Inflation Margin Sensitivity** - Map which product lines and segments are most vulnerable to inflation-driven margin compression. - **Financial KPI Anomaly Detection** - Detect when key financial metrics deviate from expected ranges. - **Financial Risk Scoring** - Score business units and investments by predicted risk exposure. - **Rate Sensitivity Modeling** - Model how interest rate shifts impact your cost of capital, debt service, and investment decisions. --- --- title: Is your inventory working for you or against you? url: https://eyko.ai/ideas/inventory-optimization/ description: Optimize inventory levels across your network. AI Playbooks identify overstock, understock, and safety stock gaps before they impact operations. --- # Is your inventory working for you or against you? Optimize inventory levels across your network. AI Playbooks identify overstock, understock, and safety stock gaps before they impact operations. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $3.4M excess inventory identified across 120 SKUs in 3 distribution centers. 18 items below safety stock threshold driving fill rate down to 91% against a 95% target. Rebalancing across locations frees $1.2M in working capital. Immediate action on top 20 SKUs closes 68% of the fill rate gap within 30 days. ## FAQ See the page at https://eyko.ai/ideas/inventory-optimization/ for frequently asked questions about this analysis. --- --- title: Is your lead scoring model sending sales the wrong leads? url: https://eyko.ai/ideas/lead-scoring-recalibration/ description: Recalibrate your lead scoring model using actual conversion data. AI Playbooks reveal which signals predict deals and which ones are noise. --- # Is your lead scoring model sending sales the wrong leads? Recalibrate your lead scoring model using actual conversion data. AI Playbooks reveal which signals predict deals and which ones are noise. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6,200 leads analyzed against closed-won and closed-lost outcomes over 12 months. Current model misclassifies 34% of leads. Content downloads over-weighted by 3.2x relative to predictive power. Recalibrated model projects a 28% improvement in MQL-to-opportunity conversion rate and recovery of 180 currently under-scored high-potential leads. ## FAQ See the page at https://eyko.ai/ideas/lead-scoring-recalibration/ for frequently asked questions about this analysis. --- --- title: Which customers are worth fighting for? url: https://eyko.ai/ideas/lifetime-value-forecasting/ description: Forecast the long-term revenue potential of each customer. Prioritize retention investment and resource allocation with AI Playbooks. --- # Which customers are worth fighting for? Forecast the long-term revenue potential of each customer. Prioritize retention investment and resource allocation with AI Playbooks. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Top 15% of accounts project to 62% of total LTV ($18.6M over 36 months). $4.2M retention investment currently misallocated, with near-equal spend across value tiers. 23 mid-tier accounts show early indicators of top-cohort trajectory. Integration depth is the #1 LTV predictor at 2.8x weight versus initial deal size. ## FAQ See the page at https://eyko.ai/ideas/lifetime-value-forecasting/ for frequently asked questions about this analysis. --- --- title: Where are your margins actually eroding? url: https://eyko.ai/ideas/margin-compression-analysis/ description: Detect where margins are eroding and trace compression to specific cost or pricing drivers. AI Playbooks quantify margin loss and recommend recovery. --- # Where are your margins actually eroding? Detect where margins are eroding and trace compression to specific cost or pricing drivers. AI Playbooks quantify margin loss and recommend recovery. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6 product lines and 2,400 accounts analyzed. 3 product lines compressing 1.8-3.2 points per quarter ($4.4M annualized erosion). 120 accounts with pricing exceptions show 8.4-point margin gap vs. standard portfolio. 15% of accounts generate negative contribution margin. Recovery actions project $3.6M in annual margin recapture. ## FAQ See the page at https://eyko.ai/ideas/margin-compression-analysis/ for frequently asked questions about this analysis. --- --- title: Is your revenue growing or slowly leaking? url: https://eyko.ai/ideas/net-revenue-retention-forecasting/ description: Forecast NRR by modeling expansion, contraction, and churn simultaneously. AI Playbooks surface the drivers behind retention trends. --- # Is your revenue growing or slowly leaking? Forecast NRR by modeling expansion, contraction, and churn simultaneously. AI Playbooks surface the drivers behind retention trends. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Projected NRR: 97% for next quarter, 3 points below growth threshold. $1.4M net contraction concentrated in 3 customer segments. Expansion activity offsets only 68% of contraction and churn losses. 12 enterprise accounts ($2.1M ARR) are past renewal date with no signed commitment. ## FAQ See the page at https://eyko.ai/ideas/net-revenue-retention-forecasting/ for frequently asked questions about this analysis. --- --- title: Are you leaving money on the table? url: https://eyko.ai/ideas/optimal-pricing/ description: Model price sensitivity to find the revenue-maximizing price point. AI Playbooks analyze elasticity by segment and recommend adjustments. --- # Are you leaving money on the table? Model price sensitivity to find the revenue-maximizing price point. AI Playbooks analyze elasticity by segment and recommend adjustments. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $6.8M annual revenue uplift identified across 3 under-priced product configurations. Enterprise segment shows near-zero elasticity up to 12% price increase. Mid-market win rate drops only 2% per 5% price increase. SMB discount depth averages 23%, but only 8% is justified by competitive pressure. ## FAQ See the page at https://eyko.ai/ideas/optimal-pricing/ for frequently asked questions about this analysis. --- --- title: Will your pipeline cover the number? url: https://eyko.ai/ideas/pipeline-coverage-forecasting/ description: Forecast whether your current pipeline will meet revenue targets. AI Playbooks flag coverage gaps by segment, stage, and time horizon. --- # Will your pipeline cover the number? Forecast whether your current pipeline will meet revenue targets. AI Playbooks flag coverage gaps by segment, stage, and time horizon. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Raw pipeline coverage sits at 2.8x against a 3.5x target. Mid-market segment is critically under-covered at 1.9x. 42% of pipeline stalled beyond 45 days, reducing probability-weighted coverage to 2.1x. 18 deals totaling $4.2M flagged for quarantine due to zero stage progression. ## FAQ See the page at https://eyko.ai/ideas/pipeline-coverage-forecasting/ for frequently asked questions about this analysis. --- --- title: What does a 50 basis point move cost your business? url: https://eyko.ai/ideas/rate-sensitivity-modeling/ description: Model how interest rate changes impact your cost of capital, debt service, and investment returns. AI Playbooks quantify exposure and recommend hedging actions. --- # What does a 50 basis point move cost your business? Model how interest rate changes impact your cost of capital, debt service, and investment returns. AI Playbooks quantify exposure and recommend hedging actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $86M in rate-sensitive instruments analyzed. A 50bp increase creates $705K in total annual P&L exposure (first and second-order effects combined). Current hedging covers 38% of variable-rate exposure, concentrated in term debt. Recommended actions project $215K in avoided exposure at a cost of $85K, with a net benefit of $130K annually. ## FAQ See the page at https://eyko.ai/ideas/rate-sensitivity-modeling/ for frequently asked questions about this analysis. --- --- title: Which reps will hit quota this quarter? url: https://eyko.ai/ideas/rep-performance-prediction/ description: Forecast which reps will hit quota and who needs coaching. AI Playbooks analyze activity patterns and recommend targeted interventions. --- # Which reps will hit quota this quarter? Forecast which reps will hit quota and who needs coaching. AI Playbooks analyze activity patterns and recommend targeted interventions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Predicted 8 of 12 quota misses 6 weeks before quarter end with 87% accuracy. Top performers average 2.3x more discovery calls per opportunity than underperformers. 4 reps flagged for coaching intervention based on 35% decline in activity velocity. Multi-threading depth (3+ contacts per deal) correlates with 28% higher close rates. ## FAQ See the page at https://eyko.ai/ideas/rep-performance-prediction/ for frequently asked questions about this analysis. --- --- title: How much revenue are you leaving on the table? url: https://eyko.ai/ideas/revenue-leakage-detection/ description: Find revenue lost to billing errors, contract gaps, and pricing exceptions. AI Playbooks quantify leakage and recommend recovery actions. --- # How much revenue are you leaving on the table? Find revenue lost to billing errors, contract gaps, and pricing exceptions. AI Playbooks quantify leakage and recommend recovery actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active contracts scanned against 12 months of billing data. $2.6M in cumulative revenue leakage identified across 3 categories. 94 accounts still receiving expired discounts ($1.1M). 42 accounts missing contract escalators ($680K). Recovery actions could recapture $1.8M within 60 days. ## FAQ See the page at https://eyko.ai/ideas/revenue-leakage-detection/ for frequently asked questions about this analysis. --- --- title: Where are your deals getting stuck? url: https://eyko.ai/ideas/sales-cycle-optimization/ description: Identify which activities and sequences shorten time to close. AI Playbooks reveal where deals stall and recommend acceleration tactics. --- # Where are your deals getting stuck? Identify which activities and sequences shorten time to close. AI Playbooks reveal where deals stall and recommend acceleration tactics. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Average sales cycle extended from 52 to 68 days over two quarters. Stage 3-4 transition identified as primary bottleneck at 18 days (up from 11). Deals with executive sponsors close 34% faster. 23% of Stage 3 deals lack a documented sponsor, averaging 12 additional days in-stage. ## FAQ See the page at https://eyko.ai/ideas/sales-cycle-optimization/ for frequently asked questions about this analysis. --- --- title: Why does your forecast keep missing? url: https://eyko.ai/ideas/sales-forecast-accuracy/ description: Identify and correct systematic biases in your sales forecasting. AI Playbooks analyze where forecasts deviate and recommend fixes. --- # Why does your forecast keep missing? Identify and correct systematic biases in your sales forecasting. AI Playbooks analyze where forecasts deviate and recommend fixes. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Overall forecast accuracy improved from 74% to 86% after bias corrections applied. Systematic over-forecasting in mid-market identified at 18% above actual close rates. 3 deal stages carry conversion assumptions that diverge from historical norms. 11 deals flagged as unlikely to close at their current stage assignment. ## FAQ See the page at https://eyko.ai/ideas/sales-forecast-accuracy/ for frequently asked questions about this analysis. --- --- title: Which suppliers should you be worried about? url: https://eyko.ai/ideas/supplier-risk-scoring/ description: Score suppliers across financial health, delivery performance, and concentration risk. AI Playbooks prioritize which vendor relationships need action. --- # Which suppliers should you be worried about? Score suppliers across financial health, delivery performance, and concentration risk. AI Playbooks prioritize which vendor relationships need action. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 suppliers flagged high risk out of 142 active vendors. 3 single-source dependencies identified on critical SKUs with no qualified alternative. Supplier A delivery performance declined 22% over 6 months with financial health below the early-warning threshold. Immediate action on the top 5 vendors reduces overall supply risk exposure by 34%. ## FAQ See the page at https://eyko.ai/ideas/supplier-risk-scoring/ for frequently asked questions about this analysis. --- --- title: What is your tariff exposure right now? url: https://eyko.ai/ideas/tariff-mitigation-planning/ description: Model sourcing shifts that minimize tariff impact while preserving quality and lead time. AI Playbooks quantify exposure and recommend action. --- # What is your tariff exposure right now? Model sourcing shifts that minimize tariff impact while preserving quality and lead time. AI Playbooks quantify exposure and recommend action. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $6.3M annual tariff exposure identified across 23 suppliers and 4 commodity groups. China-origin components represent 58% of total exposure. Vietnam and Malaysia alternatives can absorb 61% of affected volume. Switching cost of $340K delivers projected annual saving of $2.2M with no impact to quality specifications or delivery SLAs. ## FAQ See the page at https://eyko.ai/ideas/tariff-mitigation-planning/ for frequently asked questions about this analysis. --- --- title: When is the right moment to ask for more? url: https://eyko.ai/ideas/upsell-timing-optimization/ description: Identify the optimal moment to present upsell opportunities. AI Playbooks score accounts by expansion readiness and recommend timing. --- # When is the right moment to ask for more? Identify the optimal moment to present upsell opportunities. AI Playbooks score accounts by expansion readiness and recommend timing. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 2,841 accounts in optimal upsell window representing $35.2M addressable pipeline. Accounts with 3+ integrations convert at 2.4x baseline. Ideal window is 15-30 days after crossing 80% utilization, closing within 60 days. 340 accounts are approaching window close and need immediate outreach. ## FAQ See the page at https://eyko.ai/ideas/upsell-timing-optimization/ for frequently asked questions about this analysis. --- --- title: How much cash is trapped in your working capital cycle? url: https://eyko.ai/ideas/working-capital-optimization/ description: Unlock trapped cash by optimizing receivables, payables, and inventory timing. AI Playbooks identify working capital improvements worth millions. --- # How much cash is trapped in your working capital cycle? Unlock trapped cash by optimizing receivables, payables, and inventory timing. AI Playbooks identify working capital improvements worth millions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $42M in working capital analyzed across the full cash conversion cycle. $4.6M in actionable improvement identified: $1.4M from AR acceleration on 22 slow-paying accounts, $1.1M from inventory reduction in 2 declining categories, and $2.1M from aligning AP timing to contracted terms. Combined annual carrying cost savings: $320K. ## FAQ See the page at https://eyko.ai/ideas/working-capital-optimization/ for frequently asked questions about this analysis. --- --- --- title: Purpose-built AI for JD Edwards | eyko url: https://eyko.ai/decision-intelligence-for-jd-edwards/ description: eyko is purpose-built AI for JD Edwards. Playbooks that explain what changed, why, and what to do next. No data warehouse, no cloud ERP move. --- # Purpose-built AI for JD Edwards eyko is purpose-built AI for JD Edwards. It sits above JD Edwards EnterpriseOne and World as a Decision Intelligence layer, translates cryptic tables and field codes into business terms, and runs Playbooks that explain what changed, why, and what to do next. There is no data warehouse to build and no move to a cloud ERP. eyko does not replace JD Edwards. It adds the decision layer on top of the system you already run, so a finance or operations team gets answers with the context behind them, in minutes, instead of parking questions in the IT queue or reconciling module pulls in Excel. ## Application Intelligence: eyko speaks JD Edwards so your team does not have to JD Edwards stores data in tables named F0911 and F4211, columns named with four-character codes like AN8 and DCTO, and dates encoded as Julian numbers. eyko has the JD Edwards data dictionary built in, across both World and EnterpriseOne, and resolves those codes to business terms: - F4211.DCTO becomes Sales Order Type - F0911 becomes General Ledger - AN8 becomes Customer - KCOO becomes Company - MCU becomes Business Unit Three things follow from that. Your team asks in business terms, never table names. Cross-module joins that used to need deep system knowledge are handled for you. And revenue, margin, and time-to-cash are defined once, so the numbers reconcile across teams. eyko also reads across JD Edwards and the other systems your business runs on, and treats them as one analytical surface. You can ask which JD Edwards customers with open orders are also overdue in your CRM, where multi-entity margin is compressing across companies and currencies, or which projects are overrunning and which subcontractors are driving it. ## Decision Intelligence: what happened, why, and what to do next Business Intelligence stops at what happened. eyko continues to why it happened and what to do next. Know What: the number, in business terms, from your live JD Edwards data. Know Why: the cause behind it, read across the modules. Know What Next: the recommended action with the context to act on it. The output is a decision to make, not a dashboard to interpret. Capabilities include Playbooks, Conversations, Pulses, and Ideas. ## No rip and replace Keep JD Edwards. There is no cloud ERP migration, no re-platform, and no multi-year program. There is no data warehouse to stand up and no ETL project to fund; eyko connects via ODBC, JDBC, or extract. eyko complements your existing Business Intelligence, adding the why and what next your reports never gave you. ## Security and governance eyko honors the roles and permissions you already maintain in JD Edwards, so people see what their role allows. Metrics are defined once and governed centrally. Data is encrypted in transit and at rest, access follows least-privilege principles, and every connection, question, and Playbook is auditable. eyko is SOC 2 aligned. ## Download the ebook The Decision Gap, explained: a short primer for JD Edwards leaders evaluating Decision Intelligence. It covers how the gap between seeing and deciding forms, what it costs in revenue, margin, and cash, and how to close it without leaving the ERP you already run. Available as a PDF from the JD Edwards page. ## FAQ Q: Can eyko report across JD Edwards and other systems? A: Yes. eyko reads across JD Edwards and the other systems your business runs on and treats them as one analytical surface, so a question that spans JD Edwards and your CRM or other sources returns a single answer without manual Excel assembly. Q: Do I need a data warehouse to use eyko with JD Edwards? A: No. eyko connects via ODBC or JDBC against the underlying database, or via file import from UBE outputs and saved extracts. There is no warehouse to build and no ETL project. Most teams run their first Playbook within 30 minutes of connecting. Q: Do I have to move off JD Edwards to a cloud ERP? A: No. eyko sits above JD Edwards as a decision layer. Your JD Edwards keeps running finance, distribution, manufacturing, and projects exactly as it does today. There is no migration and no re-platform. Q: How does eyko understand JD Edwards tables and fields? A: eyko has the JD Edwards data dictionary built in, across World and EnterpriseOne. It translates table names like F0911 and field codes like AN8 into business terms such as General Ledger and Customer, and handles the joins between modules for you. Q: Is eyko secure for JD Edwards data? A: Yes. eyko honors the roles and permissions you maintain in JD Edwards, encrypts data in transit and at rest, and keeps every connection, question, and Playbook auditable. eyko is SOC 2 aligned. Q: How fast can a JD Edwards team get value from eyko? A: Fast. There is no multi-month project and no data readiness phase to clear first. Most teams connect and run their first Playbook the same day, and see a real insight on day one. --- title: eyko - AI-Powered Analytics Playbooks url: https://eyko.ai/ description: eyko turns enterprise data into AI-powered Playbooks that tell you what happened, why it happened, and what to do next. --- eyko is an AI analytics platform that connects to Oracle JDE, SAP S/4HANA, Microsoft Dynamics, Salesforce, HubSpot, and 100+ other data sources to generate Playbooks: structured, presentation-ready documents with narratives, charts, data tables, and actionable recommendations. Playbooks are generated in minutes from a plain-language prompt, replacing weeks of manual analyst work. ## What is a Playbook? A Playbook is not a dashboard or a report. It is a complete, AI-generated analysis document structured around three levels of intelligence: 1. **Know What happened** - Data-driven observations with supporting visualizations 2. **Know Why it happened** - AI-generated causal analysis explaining the drivers behind the data 3. **Know What to do next** - Ranked, actionable recommendations based on the analysis Each Playbook includes narratives, tables, charts (bar, line, pie, radar, waterfall, heatmap, treemap), and prioritized recommendations. ## How eyko works 1. **Connect your data** - Link Oracle JDE, SAP S/4HANA, Microsoft Dynamics, Salesforce, HubSpot, spreadsheets, and virtually any other source. eyko connects and models it in minutes. 2. **Describe what you need** - Type a simple prompt like "Prepare a supply chain review" or "Analyze cash performance." eyko's engine does the rest. 3. **Get your Playbook** - Receive a presentation-ready Playbook with narratives, tables, charts, and recommendations. Generated in minutes, not days. ## Who eyko serves eyko is built for mid-market and enterprise companies running ERP systems. Typical users include: - **Finance teams** - Cash performance reviews, margin analysis, financial KPI monitoring - **Supply chain leaders** - Demand forecasting, inventory optimization, supplier risk management - **Sales operations** - Pipeline analysis, forecast accuracy, deal size prediction - **Marketing teams** - Campaign ROI, audience segmentation, conversion analysis - **Executive leadership** - Cross-functional intelligence for strategic decisions ## eyko Skills eyko Skills are structured knowledge modules that shape how Playbooks analyze data. Five skill types can be combined: - **Industry** - Domain knowledge for manufacturing, healthcare, retail, services - **Persona** - Analysis framed for CEO, CFO, VP, Director, or Manager perspectives - **Company** - Context about your organization, business units, and strategic priorities - **Subject** - Deep expertise in cash management, supply chain, marketing, sales ops - **Application** - Goal-oriented skills for margin optimization, cost reduction, revenue growth, risk mitigation Custom skills can be created for any industry, role, subject, or application. ## Integrations eyko connects to 100+ data sources including: - **ERP systems** - Oracle JDE, SAP S/4HANA, Microsoft Dynamics - **CRM systems** - Salesforce, HubSpot - **Databases** - SQL Server, PostgreSQL, MySQL, Oracle - **Cloud platforms** - Microsoft Fabric, Azure, Snowflake - **Files** - Excel, CSV, PDF, and other document types - **APIs** - REST APIs, MCP servers, and custom connectors No rip-and-replace. No heavy data transformation project. Your systems and data stay in place. ## Security and compliance - SOC 2 certified with independent audit verification - Built on Microsoft Azure infrastructure - Data pipeline powered by Microsoft Fabric - AES-256 and RSA-2048 encryption for data at rest and in transit - HTTPS enforced on all endpoints - Role-based access control via Microsoft Entra ID - VPN-protected internal infrastructure - Geo-redundant backup storage ## Company eyko was founded in 2018. The platform is trusted by enterprise customers across manufacturing, finance, and services. Headquarters information and team details are available at [eyko.ai/about/](https://eyko.ai/about/). ## Pricing eyko offers two plans with transparent, seat-based pricing: - **Standard** - $1,500/org/month with standard onboarding - **Premium** - $2,500/org/month with priority support and advanced features User seats are added per person: Standard users at $25/user/month (up to 20 Playbook runs/month) and Power users at $150/user/month (up to 60 runs/month). Playbook views are free and unlimited for everyone in the organization. Full pricing details: [eyko.ai/pricing/](https://eyko.ai/pricing/) ## FAQ **What ERPs does eyko connect to?** Oracle JDE, SAP S/4HANA, and Microsoft Dynamics, plus 100+ other data sources including Salesforce, HubSpot, SQL databases, and file types. **How long does implementation take?** Data connection and initial Playbook generation happen in minutes. Full onboarding depends on data complexity but is measured in days, not months. **What does a Playbook include?** A complete, presentation-ready document with AI-generated narratives, data tables, visualizations (bar, line, pie, radar, waterfall, heatmap, treemap), and ranked recommendations. **How is eyko different from Power BI or Tableau?** Power BI and Tableau show what happened through dashboards and charts. eyko Playbooks go further: they explain why metrics changed and recommend what to do next, delivered as a complete document rather than a set of interactive charts. **Is eyko SOC 2 certified?** Yes. eyko maintains SOC 2 certification with comprehensive controls verified by independent auditors. The trust center is available at [trust.eyko.ai](https://trust.eyko.ai). **How much does eyko cost?** Platform fees start at $1,500/org/month (Standard) or $2,500/org/month (Premium). User seats are $25/user/month (Standard) or $150/user/month (Power). Playbook views are free and unlimited. --- --- title: How AI Playbooks Help Business Analysts Drive Better Outcomes url: https://eyko.ai/lp/business-analysts/ description: Despite advanced BI tools, much of a Business Analyst's time is spent on tasks that don't directly drive business value. eyko Playbooks automate the data prep cycle and deliver ranked, actionable intelligence. --- # How AI Playbooks Help Business Analysts Drive Better Outcomes eyko Playbooks transform the business analyst role from report builder to strategic advisor. Instead of spending 80% of your time on data preparation, validation, and formatting, Playbooks automate the repetitive work and deliver structured What, Why, and What Next analysis in minutes. ## The Problem: Still Stuck in the Data Prep Cycle Most Business Analysts spend the majority of their week on tasks that don't directly drive business value: pulling data from multiple systems, cleaning and reconciling it, building one-off reports for stakeholders, and validating numbers before anyone can act on them. The result is reactive analysis that arrives after the window to act has closed. ## The Solution: From Data Prep to Decision Intelligence eyko Playbooks connect directly to your ERP, CRM, and operational systems. They automate the initial analysis, surface root causes, and deliver prioritized recommendations. Analysts focus on interpretation and strategy instead of data wrangling. Key outcomes: - Automate repetitive data tasks that consume your week - Let AI handle initial analysis while you focus on interpretation - Deliver recommendations stakeholders can act on immediately ## How It Works 1. Connect your data sources (ERP, CRM, warehouse systems) 2. Select or create a Playbook for your business question 3. Get ranked, evidence-backed analysis with recommended actions ## FAQ **Who is this for?** Business Analysts, Data Analysts, and BI professionals who want to spend less time on data prep and more time driving business decisions. **What systems does eyko connect to?** eyko connects to 100+ data sources including Oracle JD Edwards, SAP, Salesforce, Microsoft Dynamics, and major cloud databases. **How is this different from BI tools?** BI tools show what happened. eyko Playbooks explain why it happened and recommend what to do next, with ranked, prioritized actions tied to your data. --- --- title: eyko Global Partners url: https://eyko.ai/partners/ description: eyko partner program for consulting, technology, and integration partners delivering AI-powered Playbooks to enterprises worldwide. --- eyko works with a global network of consulting, technology, and integration partners to deliver AI-powered analytics to enterprise customers. The partner program provides access to the eyko platform, training, enablement resources, and recurring revenue opportunities. Partners range from global technology companies to specialist ERP consultancies. ## Global Technology Partners **Oracle** - eyko is a member of the Oracle Partner Network, connecting enterprise customers with AI-powered decision intelligence built on their Oracle and JD Edwards data. **Microsoft** - eyko is a member of the Microsoft ISV Success program and is available on the Azure Marketplace, bringing AI-powered Playbooks to Microsoft cloud customers worldwide. ## Affiliated Partners **AI Partnerships Corp.** - A global Affiliate Network of 150+ AI solution providers helping enterprises adopt AI technologies. AI Partnerships Corp connects eyko with organizations seeking proven AI adoption frameworks. ## Agents, Resellers, and Services Partners **Argano** - Global digital services consultancy focused on enabling high performance across client operations. Specialists in revenue management, finance, supply chain, and workforce optimization. **Centrilogic** - Global provider of IT transformation solutions empowering organizations to realize their full digital potential. Builds and manages end-to-end digital solutions. **ERP-One Consulting** - Leading consulting firm specializing in ERP solutions with a focus on JD Edwards and Oracle. Over two decades of experience in consulting, implementation, and managed services. **iKW Solutions** - Professional services firm focused on implementation and upgrade of Oracle ERP software including JD Edwards World, OneWorld, EnterpriseOne, and ERP Cloud. **Redfaire** - Leading JD Edwards and Oracle consulting company offering ERP consulting services, international rollouts, upgrades, CNC, support, IaaS, SaaS, and PaaS. Offices in UK, Ireland, and US. **TGV Americas** - Specialists in Oracle JD Edwards, SAP, and digital transformation solutions across LATAM. Over 30 years of global experience in consulting, implementation, and nearshore outsourcing. ## Partner types ### Consulting Partners Advisory and consulting firms that embed eyko Playbooks into client engagements. Help clients move from data to decisions faster while building a scalable, repeatable practice around AI-powered analytics. ### Technology Partners Software vendors, data platform providers, and ISVs that integrate eyko into their technology stack. Combine domain expertise with eyko to create branded analytics products. ### Integration Partners Systems integrators and implementation specialists that deploy eyko within enterprise environments. Deliver end-to-end analytics transformations connecting ERP, cloud, and operational data into actionable Playbooks. ## Why partner with eyko - **Own your IP** - Create branded analytics solutions on the eyko platform instead of reselling other vendors' software - **Recurring revenue** - Build and license your own Playbook solutions, unlocking recurring revenue streams - **Rapid time to value** - eyko connects to enterprise data sources and generates Playbooks in minutes - **Training and enablement** - Access certification programs, technical training, and sales resources ## FAQ **What types of companies does eyko partner with?** eyko partners with consulting firms, technology vendors, systems integrators, and referral organizations. Whether you advise, build, or integrate, there is a partnership model that fits your expertise. **Can partners build and sell their own Playbooks?** Yes. Partners can develop custom Playbook solutions with their own IP on the eyko platform and license them as their own products, unlocking recurring revenue. **What ERP systems do eyko partners typically work with?** Most current partners specialize in Oracle JD Edwards, Oracle EBS, SAP, and Oracle Cloud ERP. eyko connects to 100+ data sources, so partners can serve clients across any major ERP platform. **Is eyko available on the Azure Marketplace?** Yes. eyko is a member of the Microsoft ISV Success program and is available for procurement through the Azure Marketplace. **How do I become an eyko partner?** Request access through the eyko website. The team will discuss the partnership model that fits your business and provide onboarding, training, and enablement resources. **What geographies do eyko partners cover?** eyko partners operate globally, with current coverage across North America, EMEA, LATAM, and APAC through partners like Argano, Redfaire, TGV Americas, and others. --- --- title: AI Playbooks - Not Dashboards. Not Reports. Playbooks. url: https://eyko.ai/playbooks/ description: eyko AI Playbooks deliver structured decision intelligence - what happened, why it happened, and what to do next - from your data in minutes. --- eyko AI Playbooks deliver structured decision intelligence: what happened, why it happened, and what to do next. From your data to executive action in minutes. Playbooks are not dashboards or reports. They are complete, AI-generated analysis documents with narratives, visualizations, data tables, and ranked recommendations. ## The three levels of intelligence Every Playbook is structured around a progression that moves from observation to explanation to action: 1. **Know What happened** - Data-driven analysis with supporting charts, tables, and visualizations 2. **Know Why it happened** - AI-generated causal explanation of the drivers behind the numbers 3. **Know What to do next** - Ranked, actionable recommendations based on the full analysis ## How Playbooks differ from dashboards Power BI and Tableau are great at visualization. But when the numbers shift, your team still has to interpret, validate, and align before anyone acts. That delay is where value erodes. Playbooks close the gap. | Dashboards | Playbooks | |---|---| | Show what happened | Explain what, why, and what to do next | | Require analysts to interpret | Deliver executive-ready insights | | Take days to build | Generate in minutes from a prompt | | Show siloed data views | Combine cross-system intelligence | | Static charts and graphs | Dynamic narratives with recommendations | ## eyko Skills Most AI tools analyze data in isolation. eyko Skills load structured knowledge about your industry, your role, your competitors, and your operational definitions directly into the platform. Playbooks reflect your context, not generic assumptions. Skill types: Industry, Persona, Company, Subject, and Application. Skills can be combined freely (e.g., CFO-level cash management review for manufacturing). ## eyko Ideas Ideas are pre-built Playbook starting points for common business questions. 30 Ideas are available across five categories: Customer, Supply Chain, Sales, Marketing, and Finance. Pick one, connect your data, and get a ranked Playbook in seconds. ## How it works 1. **Connect your data** - Link your ERP, CRM, databases, and files 2. **Describe what you need** - Type a plain-language prompt 3. **Get your Playbook** - Receive a complete analysis document in minutes --- --- title: Press & Media url: https://eyko.ai/press/ description: eyko press and media resources. Contact our team for commentary on enterprise AI, the future of analytics, AI Playbooks, and business transformation. --- # Press & Media eyko is an AI analytics platform that generates AI Playbooks from enterprise data. We welcome inquiries from journalists, analysts, and industry commentators covering enterprise AI, business intelligence, and analytics transformation. ## Company facts - Founded: 2018 - Structure: Fully remote, globally distributed - Security: SOC 2 certified - Infrastructure: Microsoft Azure and Microsoft Fabric - Integrations: 100+ business systems (Oracle JDE, SAP S/4HANA, Microsoft Dynamics, and more) - Markets: Finance, supply chain, sales, marketing, and operations ## Topics we comment on **The end of dashboards.** Why AI Playbooks are replacing traditional BI tools and what it means for organizations that have invested heavily in dashboards and static reports. **Enterprise AI in practice.** Real deployments, real business impact. How mid-market and enterprise companies in finance, supply chain, and operations are putting AI to work today. **The decision gap.** Organizations have more data than ever and are still slow to act. Why the problem was never the data, and what it takes to close the gap between insight and action. **The future of analytics.** Where the business intelligence industry is heading, what AI-native analytics looks like in practice, and why the next generation of tools has to do more than visualize numbers. ## Company boilerplate eyko is an AI analytics platform that connects directly to enterprise ERP systems (Oracle JDE, SAP S/4HANA, Microsoft Dynamics), CRMs, and 100+ other business systems to generate AI Playbooks. Playbooks are structured, evidence-based briefings that tell business leaders what happened, why it happened, and what to do next. Founded in 2018, eyko is SOC 2 certified, built on Microsoft Azure and Microsoft Fabric, and serves mid-market and enterprise companies across finance, supply chain, sales, marketing, and operations. ## Contact To discuss a story, request commentary, or arrange a briefing with eyko leadership, use the contact form at https://eyko.ai/press/. We respond within one business day. --- --- title: eyko Pricing url: https://eyko.ai/pricing/ description: eyko pricing details including platform plans, seat types, billing options, and FAQ. --- eyko pricing is structured as one flat platform fee per organization plus per-user seat fees. Playbook views are free and unlimited for everyone in the organization. You only pay for users who run Playbooks. ## Plans ### Standard - $1,500 per organization per month - Full platform access - Standard onboarding - Monthly trial, convert to annual within 3 months to lock rate - Unlimited Playbook views ### Premium - $2,500 per organization per month (most popular) - Everything in Standard - Priority support and onboarding - Advanced platform features - Monthly trial, convert to annual within 3 months to lock rate ## User seat types ### Standard User - $25 per user per month - Unlimited Playbook views - Up to 20 Playbook runs per month - Best for regular users and collaborators ### Power User - $150 per user per month - Unlimited Playbook views - Up to 60 Playbook runs per month - Best for analysts and heavy users Seat types can be mixed in any combination. ## Billing options 1. **Start monthly, convert to annual within 3 months** (best option) - Evaluate on your own timeline. Commit before month 4 and the introductory rate is locked in for 12 months. 2. **Annual commitment from day one** - Lock in introductory pricing immediately with a 12-month commitment. 3. **Stay monthly past 3 months** - Introductory pricing expires after month 3. Standard rates apply from month 4 onward. ## Sample monthly bills **Standard Plan example**: Platform fee $1,500 + 4 Standard users ($100) + 1 Power user ($150) = **$1,750/month** **Premium Plan example**: Platform fee $2,500 + 16 Standard users ($400) + 4 Power users ($600) = **$3,500/month** ## How to get started 1. Pick a plan (Standard or Premium) 2. Add your seats (Standard or Power users, any mix) 3. Your team starts running Playbooks from day one ## Frequently asked questions **Do I need a license to view Playbooks?** No. Playbook views are completely free and unlimited. You can share Playbooks throughout your organization at no cost. You only need a paid user seat when someone wants to run Playbooks, which means triggering AI-powered execution against your live data. **How does eyko pricing work?** You pay one flat platform fee per organization, per month. Then you add user seats for the people who actually run Playbooks. Everyone else can view and consume Playbooks for free. **What is the difference between Standard and Premium?** Standard gives you full platform access with standard onboarding. Premium adds priority support, advanced platform features, and priority onboarding. **What is the difference between Standard and Power user seats?** Standard seats ($25/user/mo) are for team members who run Playbooks regularly, with up to 20 runs per month. Power seats ($150/user/mo) are for analysts and heavy users who need up to 60 runs per month. **What counts as a Playbook run vs. a Playbook view?** A view is opening and reading a Playbook. Anyone in your organization can do this for free. A run is an AI-powered execution that generates fresh analysis from your connected data. Runs require a paid user seat. **What are the introductory prices?** The prices shown ($1,500/mo Standard, $2,500/mo Premium) are introductory rates. You have 3 months from signup to convert to an annual commitment and lock in today's pricing. Standard rates apply from month 4 onward if you stay monthly. **Do I have to commit to an annual plan?** No. You can start monthly and stay monthly. But if you convert to annual within your first 3 months, you lock in introductory pricing for the full year. After month 3, standard rates apply. **Can I mix seat types?** Yes. Add Standard and Power seats in whatever combination fits your team. **Is there a minimum number of seats?** No. Your platform fee covers the organization. Add as many or as few seats as you need. **How do I get started?** Pick a plan, add your seats, and your team starts running Playbooks from day one. Request access or talk to sales for a walkthrough. --- --- title: eyko Product Tours url: https://eyko.ai/product-tours/ description: Interactive product tours showing how eyko transforms raw data into AI-powered decisions. --- eyko product tours are interactive walkthroughs that show exactly how the platform transforms raw data into decisions. Each tour demonstrates a real capability so you can see the platform working, not just read about it. ## Product Demos ### eyko Ideas See how eyko Ideas turns your business questions into AI-powered Playbooks. Pick an idea, connect your data, and get answers in seconds. ### eyko Conversations Ask questions in plain language and get accurate, governed answers from your connected business systems. ### Playbook Creation Watch how eyko Playbooks turn raw data into executive-ready analysis with What, Why, and What Next insights. ## Use Cases ### Tariff Mitigation Playbook See how eyko models sourcing shifts that minimize tariff impact while preserving quality, lead time, and supplier reliability. ### Supply Chain Playbook Watch eyko analyze your supply chain data to surface disruption risks, demand anomalies, and optimization opportunities. ### Accounts Payable Performance Playbook See how eyko identifies payment optimization opportunities, flags anomalies, and improves AP performance across your vendor base. Explore all tours at [eyko.ai/product-tours/](https://eyko.ai/product-tours/). --- --- title: eyko Pulses url: https://eyko.ai/pulses/ description: Live, autonomous interactive tables and charts built from your Playbooks, Data Streams, Documents, Files, and MCPs. Fully interactive with drill-down, pivot, and multidimensional analysis. --- # eyko Pulses eyko Pulses are live, autonomous interactive tables and charts that stay in sync with your business systems. Built from your Playbooks, Data Streams, Documents, Files, and MCPs, Pulses deliver fully interactive data views with drill-down hierarchies, pivoting, and multidimensional analysis. ## What are Pulses? Pulses are connected, interactive data tables that replace static spreadsheets and exported reports. They load live data from your source systems, support nested row expansion (tables inside tables), column sorting, filtering, pinning, and full pivot capabilities. Every Pulse stays current as your underlying data changes. Unlike traditional BI dashboards that require a data team to build and maintain, Pulses are generated automatically from your existing eyko data connections. They support the same report types your finance, operations, and sales teams already use. ## Data Sources Pulses can be built from five data source types: - **Playbooks**: Generate interactive tables from any AI Playbook output. - **Data Streams**: Connect live data streams from ERP systems (Oracle JDE, SAP S/4HANA, Microsoft Dynamics), CRMs (Salesforce, HubSpot), and 100+ other connectors. - **Documents**: Transform uploaded documents and reports into interactive tables. - **Files**: Convert CSVs, spreadsheets, and other file formats into live Pulses. - **MCPs**: Build tables from external model context protocols. ## Key Capabilities - **Interactive tables**: Sort, filter, pin, resize, and rearrange columns. Every table is fully interactive from the moment it loads. - **Drill-down hierarchies**: Expand any row to reveal underlying data. Tables nest inside tables for multidimensional analysis. - **Pivot and reshape**: Pivot rows to columns, group by any dimension, and reshape views without formulas. - **Live data sync**: Pulses stay connected to source systems. Data refreshes automatically so views are always current. - **Advanced filtering**: Multi-column filters, range selectors, and text search across millions of rows. - **Sharing and collaboration**: Share Pulses with your team. Everyone sees the same live data with their own filters and views. ## Supported Report Types - **Financial statements**: Income statements, balance sheets, and cash flow reports with full line-item drill-down. - **Consolidation reports**: Multi-entity consolidation with intercompany eliminations and currency translation. - **Pivot tables**: Drag-and-drop pivot analysis with calculated fields, subtotals, and conditional formatting. - **Custom views**: Combine data sources, add calculated columns, and save reusable report templates. ## Who Uses Pulses? - **Finance teams**: P&L analysis, budget vs. actuals, cash flow monitoring, and financial consolidation. - **Sales leaders**: Pipeline tracking, deal velocity analysis, territory performance, and forecast accuracy. - **Operations managers**: Inventory levels, order fulfillment metrics, supplier performance, and capacity planning. - **Executives**: Cross-functional KPI dashboards that combine data from multiple systems in one view. ## How It Works 1. Connect your data sources (Playbooks, Data Streams, Documents, Files, or MCPs). 2. eyko generates interactive Pulses automatically from your connected data. 3. Interact with your data: sort, filter, drill down, pivot, and expand any row. 4. Share Pulses with your team. Views stay live and update as your data changes. ## FAQ **How are Pulses different from dashboards?** Dashboards show pre-built charts and summaries. Pulses are fully interactive tables where you can drill into any row, pivot on any dimension, and explore data at any level of detail. **Do Pulses update automatically?** Yes. Pulses maintain a live connection to your source systems and refresh automatically. **Can I use Pulses for financial reporting?** Yes. Pulses support financial statements, consolidation reports, and any structured report format your team uses today. **Is my data secure?** Yes. eyko is SOC 2 certified and built on Microsoft Azure. Your data never leaves your environment. --- --- title: Free Business Intelligence and AI eBooks url: https://eyko.ai/resources-ebooks/ description: Free eBooks and white papers on AI Playbooks, business intelligence, JDE integration, Oracle EBS reporting, and data analysis. Download directly as PDF. --- eyko provides free eBooks and white papers covering AI Playbooks, business intelligence, ERP data integration, and modern reporting practices. Most are available as direct PDF downloads. ## Available eBooks ### The Decision Intelligence Buyer's Guide 2026 The 2026 guide to evaluating Decision Intelligence platforms: the seven golden rules, the three approaches to tell apart (automation, support, decision-ready analysis), and a vendor scorecard to take into any conversation. Category: Reporting Download: https://eyko.ai/assets/ebooks/decision-intelligence-buyers-guide-2026.pdf ### The Decision Gap, Explained How the gap between seeing a number move and acting on it forms, what it costs in revenue, margin, and cash, and how to close it without leaving the systems you already run. Category: Reporting Download: https://eyko.ai/assets/ebooks/eyko-the-decision-gap.pdf ### Decision Intelligence for JD Edwards How JD Edwards teams close the Decision Gap without a data warehouse or a move to a cloud ERP. Turn cryptic tables and field codes into business answers, and get the why and the what next. Category: JDE Download: https://eyko.ai/assets/ebooks/eyko-jde-decision-intelligence-explainer.pdf ### Leaders' Guide to Playbooks Why the next generation of business intelligence is structured, decision-ready, and built for leaders who need answers, not dashboards. Category: Reporting Download: https://eyko.ai/assets/ebooks/leaders-guide-to-playbooks.pdf ### Is Prompt Engineering the New SQL? A practical guide to AI and business intelligence. Explore how natural language prompts are replacing traditional query languages for data analysis. Category: Reporting Download: https://eyko.ai/assets/ebooks/prompt-engineering-new-sql.pdf ### Turning Insights Into Action Close the gap between seeing data and knowing what to do about it. Learn how structured Playbooks accelerate time-to-decision across your organization. Category: Reporting ### The Playbook Cookbook A simple guide to creating your first eyko Playbook. Category: Playbooks Download: https://eyko.ai/assets/ebooks/playbook-cookbook.pdf ### Playbooks vs Dashboards Playbooks are the next evolution of business intelligence. Instead of asking users to search for insight, Playbooks deliver structured, decision-ready intelligence. Category: Playbooks Download: https://eyko.ai/assets/ebooks/playbooks-vs-dashboards.pdf ### AI Insights for JDE Users The New Essential for Modern Business. Learn how AI transforms JDE reporting from slow and static to proactive and always-on. Category: JDE Download: https://eyko.ai/assets/ebooks/ai-insights-for-jde-users.pdf ### Guide to Crossing the JD Edwards Data Chasm Find out how to stream live data from JDE and other systems, apply AI-powered insights, and deliver answers without waiting months for integration. Category: JDE Download: https://eyko.ai/assets/ebooks/crossing-the-jde-data-chasm.pdf ### Pivot Reporting Why It's Time to Rethink the Pivot Table. Break free from Excel and Power BI limits with unlimited dimensions, ragged hierarchies, and AI-driven Smart Views. Category: Reporting Download: https://eyko.ai/assets/ebooks/pivot-reporting.pdf ### Excel Reporting Is There a Better Way? Understand Excel's strengths, its enterprise limitations, and how to bridge the gap with AI-powered tools. Category: Reporting Download: https://eyko.ai/assets/ebooks/excel-reporting.pdf ### Multi-Source Reporting The New Essential for Modern Business. Learn how to stream live data from Oracle EBS alongside other applications and harness AI insights. Category: Reporting Download: https://eyko.ai/assets/ebooks/multi-source-reporting.pdf ### What to Expect From a Modern Data Analysis Platform The essential guide to unlocking smarter, faster, AI-powered insights across your business. Category: Data Analysis Download: https://eyko.ai/assets/ebooks/modern-data-analysis-platform.pdf ### Guide to Crossing the Oracle EBS Data Chasm Learn how to stream live data from Oracle EBS alongside other applications, harness AI insights, and provide instant answers. Category: Oracle EBS Download: https://eyko.ai/assets/ebooks/crossing-the-oracle-ebs-data-chasm.pdf ## White Papers ### What Is Decision Intelligence? A clear introduction to Decision Intelligence: what it is, how it differs from Business Intelligence, and why it turns data into decisions and actions rather than another dashboard to read. Category: White Paper Download: https://eyko.ai/assets/ebooks/what-is-decision-intelligence-whitepaper.pdf ### eyko Platform Security Architecture A technical overview of eyko security, compliance, and data protection. Built on Microsoft Azure with SOC 2 certification and enterprise-grade encryption. Category: White Paper Download: https://eyko.ai/assets/ebooks/platform-security-architecture.pdf ### From Insight to Action How AI-powered Playbooks bridge the gap between analytics and execution. Move from static reports to structured, evidence-based decision briefs. Category: White Paper Download: https://eyko.ai/assets/ebooks/from-insight-to-action.pdf ### Generative Storytelling How AI transforms raw data into narrative-driven business intelligence. Discover the power of automated analysis that explains the why, not just the what. Category: White Paper Download: https://eyko.ai/assets/ebooks/generative-storytelling.pdf All eBooks are free to download at [eyko.ai/resources-ebooks/](https://eyko.ai/resources-ebooks/). --- --- title: eyko Security Center url: https://eyko.ai/security/ description: eyko security practices including infrastructure, encryption, compliance, and data protection on Microsoft Azure. --- eyko takes customer data security seriously and uses the highest security standards available. The platform is built on Microsoft Azure cloud infrastructure and maintains SOC 2 certification. ## Infrastructure eyko uses the Microsoft Azure cloud infrastructure as the basis for all services. Microsoft Azure maintains more regions than any other cloud provider. eyko leverages Azure infrastructure to protect customer data with industry-leading security, compliance, and privacy practices. ## Virtual Private Network (VPN) eyko enforces a mandatory VPN protocol for network access. Internal infrastructure components including database servers, virtual machines, key vaults, and other private storage accounts are hidden from public traffic using private endpoints available only through internal virtual networks connected using VPN technology. ## Encryption All data is encrypted both in transit and at rest using Microsoft Azure managed encryption: - All databases use TDE (Transparent Data Encryption) with customer-managed keys (CMKs, RSA-2048 encryption) - All virtual machines handling customer data have local disk encryption enabled (AES-256 encryption) - Cloud storage resources are encrypted using Azure Key Vault customer-managed keys (CMKs, RSA-2048 encryption) - All web applications and API endpoints enforce HTTPS ## Backups Customer data is routinely backed up automatically with the following retention policies: - Point-in-time restore backups: 7 days - Weekly long-term retention (LTR) backups: 12 weeks - Monthly LTR backups: 4 months - Yearly LTR backups: 1 year Backup data is stored in geo-redundant storage blobs replicated to a paired region for high availability. All backups are encrypted with TDE. ## High availability Applications run in a highly available configuration following cloud architecture best practices, leveraging Azure regions and availability zones. ## Network security Layer 3/7 firewalls and modern network protection technologies protect access to internal and customer resources. Resources are further protected at the network layer using private endpoints not available to the public internet. ## Data security Customer data includes ingested data from enterprise systems and application metadata (designs, sources, streams). The highest security standards are applied to both categories. ## Authentication All customer-facing applications use Microsoft Entra ID for authentication and authorization. eyko does not store customer passwords. Role-based access control (RBAC) integrates directly with customer identity providers. ## Compliance Azure Security Center executes automated compliance assessments. Available compliance reports: - Azure Security Benchmark Compliance Report - ISO 27001 Compliance Report - SOC 2 Compliance Report Continuous compliance monitoring with alerts for any compromised cloud resources. --- --- title: Supply Chain Use Case - AI Playbooks for Supply Chain url: https://eyko.ai/use-cases/supply-chain/ description: eyko Playbooks for supply chain analytics, from demand forecasting to tariff mitigation and inventory optimization. --- eyko Playbooks transform supply chain data into ranked, actionable intelligence in minutes. Connect your ERP, WMS, and procurement systems and get AI-generated analysis covering demand forecasting, inventory optimization, supplier risk management, and more. ## Supply chain Playbook capabilities - **Demand forecasting** - AI-powered demand sensing using historical data, point-of-sale signals, and market indicators - **Inventory optimization** - Balance carrying costs against service levels with data-driven recommendations - **Supplier risk management** - Score suppliers by reliability, financial health, and disruption vulnerability - **Tariff mitigation** - Model sourcing shifts that minimize tariff impact while preserving quality and lead times - **Logistics analysis** - Predict inbound shipment delays and disruptions before they cascade ## Pre-built supply chain Ideas eyko Ideas are pre-built Playbook templates ready to run against your data: - Demand Anomaly Detection - Tariff Mitigation Planning - Inbound Shipment Risk - Demand Sensing - Circular Economy Opportunity Detection - Disruption Vulnerability Scoring ## How it works 1. Connect your supply chain data sources (ERP, WMS, procurement systems) 2. Select a supply chain Idea or describe what you need in plain language 3. Receive a complete Playbook with analysis, visualizations, and ranked recommendations --- --- title: Your Use Case | eyko url: https://eyko.ai/use-cases/your-use-case/ description: eyko Playbooks work for any team, function, or business question. Connect your systems, ask the question that matters, and get ranked, actionable intelligence in minutes. No predefined category required. --- # Your Use Case eyko Playbooks are not limited to predefined use cases. They work for any team, function, or business question. Connect your data sources, ask a question in plain language, and get a ranked, evidence-backed Playbook in minutes. ## Who this page is for This page is for business leaders and teams who do not see their specific function, industry, or problem type in the existing use case list. Finance, Supply Chain, Operations, and Customer Success are examples of where eyko works. They are not the limits. eyko serves general managers, heads of business units, CFOs, COOs, VP Revenue, VP People, and any leader who needs to move faster from data to decision. ## The problem eyko solves Most businesses have data. They do not have a fast path from data to decision. When something shifts, the same sequence plays out: someone builds a spreadsheet, someone interprets the results, a meeting gets scheduled, and a decision gets made days or weeks later. eyko compresses that sequence to minutes. The three problems this addresses: 1. **Data without direction.** Teams can see what is happening but cannot connect the why, the risk, and the recommended action without manual analysis. 2. **Every answer takes too long.** When something goes wrong, your best people stop to build a one-off analysis. The insight arrives after the window has closed. 3. **Systems that do not connect.** ERP, CRM, and operational platforms each hold a piece of the picture. Getting the full picture requires manual extraction and spreadsheet assembly. ## How eyko works for any use case Playbooks follow the same structure regardless of function or industry: - **Know What:** Pull data from connected systems to show current performance across any dimension. - **Know Why:** Reason across systems to trace a performance shift back to the specific driver. - **Know What Next:** Deliver specific, prioritized recommendations so teams know exactly where to focus. ## Connected systems eyko connects to 100+ business systems including Oracle JDE, SAP S/4HANA, Microsoft Dynamics, Salesforce, HubSpot, NetSuite, Workday, and spreadsheets. No rip-and-replace required. ## Playbook coverage Over 100 pre-built Playbook Ideas span every major business function: - Finance and FP&A: cash flow forecasting, margin analysis, KPI anomaly detection, budget variance - Revenue and growth: pipeline forecasting, win rate optimization, revenue concentration risk - Operations: bottleneck detection, capacity utilization, cost reduction prioritization - Supply chain and procurement: supplier performance, inventory optimization, demand forecasting - Customer and retention: churn prediction, NRR forecasting, customer health scoring - Risk and compliance: credit risk, regulatory exposure, vendor risk scoring - People and workforce: attrition prediction, capacity planning, engagement analysis ## eyko Skills eyko Skills load structured knowledge about your industry, function, business model, and success definitions into the platform. Playbooks reflect your context, not generic assumptions. Industries include manufacturing, retail, financial services, healthcare, technology, and professional services. ## FAQ **Does eyko only work for the listed use cases?** No. Finance, Supply Chain, Operations, and Customer Success are examples. Playbooks run on your data and answer your questions regardless of function or industry. **What if my business question does not match a pre-built Idea?** You can type your own question in plain language. eyko will match your data to the right analysis. Pre-built Ideas are starting points, not limits. **What systems does eyko connect to?** Oracle JDE, SAP S/4HANA, Microsoft Dynamics, Salesforce, HubSpot, NetSuite, Workday, and 100+ more. Spreadsheet upload is also supported for teams that are not yet on a connected system. **How long does it take to get a Playbook?** Once your data is connected, a Playbook is generated in seconds. Data connection typically takes minutes for cloud systems and hours for on-premise ERP integrations. --- --- title: What is Decision Intelligence? The Definitive Guide url: https://eyko.ai/what-is-decision-intelligence/ description: Decision Intelligence goes beyond dashboards and reports. It explains what happened, why, and what to do next. Learn how DI closes the gap between data and decisions. --- # What is Decision Intelligence? Decision Intelligence is the analytical layer above business intelligence. Where BI tools visualize data through dashboards and reports, Decision Intelligence investigates why something happened and recommends what to do about it. It closes the gap between seeing a number change and knowing how to respond. ## The problem it solves Every organization has dashboards. Most have invested in BI tools. But when something changes in the business, the same cycle repeats: someone notices a metric, opens a spreadsheet, schedules a meeting, asks an analyst, and waits. The interpretation, investigation, and alignment process takes days or weeks. BI tools were designed to show data, not to interpret it. They answer "what happened" and stop. The investigation, the root cause analysis, and the recommended response all fall to humans. That handoff is where time, accuracy, and alignment break down. Decision Intelligence exists to close this gap. It picks up where dashboards leave off and delivers structured analysis that arrives with explanation and recommendations already included. ## How Decision Intelligence works: the What / Why / What Next framework Decision Intelligence is defined by a three-layer analytical progression: - **Know What**: Structured identification of what changed in the business. Not just metrics that moved, but signals that matter, contextualized and prioritized. - **Know Why**: Root cause analysis that traces variance to operational drivers. Evidence-based, not guesswork. The investigation that analysts spend days on, delivered automatically. - **Know What Next**: Prioritized, actionable recommendations tied directly to the data. Specific, quantified, and ready to execute. ## Decision Intelligence vs Business Intelligence BI is designed for data visualization, exploration, and self-service reporting. Decision Intelligence is designed for structured analysis, root cause investigation, and recommended action. They are complementary, not competitive. Most organizations will use both. For a detailed comparison, see [Decision Intelligence vs Business Intelligence](https://eyko.ai/decision-intelligence-vs-business-intelligence/). ## Who uses Decision Intelligence - **CFOs and Finance Directors**: From monthly variance reports to real-time root cause analysis - **Operations and Supply Chain leaders**: From dashboard monitoring to proactive disruption response - **Revenue and Sales leaders**: From pipeline reports to structured deal intelligence - **Business Analysts**: From report building to strategic advisory ## How eyko delivers Decision Intelligence eyko Beats is a Decision Intelligence solution. It connects to 100+ business systems and generates structured Playbooks that deliver the What, Why, and What Next framework from your live data. Playbooks, Conversations, Pulses, and Ideas work together to cover the full journey from raw data to executive action. ## FAQ **What is Decision Intelligence?** Decision Intelligence is the analytical layer above business intelligence. It goes beyond visualization to explain what happened, investigate why, and recommend what to do next. It closes the gap between dashboards and decisions. **How is Decision Intelligence different from Business Intelligence?** Business Intelligence visualizes data through dashboards and reports. Decision Intelligence investigates data to deliver structured analysis with root cause explanations and recommended actions. BI shows you the chart. Decision Intelligence tells you what the chart means and what to do about it. **Is Decision Intelligence replacing Business Intelligence?** No. Business Intelligence remains valuable for data visualization, exploration, and self-service reporting. Decision Intelligence is the layer above it. Most organizations will use both: BI for visibility and Decision Intelligence for structured decisions. **Who needs Decision Intelligence?** Any leader or team that currently relies on dashboards but needs to move faster from data to decision. Finance, operations, supply chain, revenue, and customer success teams all benefit from structured analysis that arrives with explanation and recommendations. **What is a Playbook in Decision Intelligence?** A Playbook is a structured, evidence-based business briefing generated from live data. It progresses through three layers: what happened, why it happened, and what to do next. Each Playbook includes an executive summary, narrative analysis, supporting data, and prioritized recommended actions. **How do I get started with Decision Intelligence?** Request access to eyko Beats. Connect your business systems and start generating Playbooks from your live data. Most teams run their first Playbook within 24 hours. --- --- title: "Why Most Dashboards Go Unused" url: https://eyko.ai/blog/why-dashboards-go-unused/ description: "Most enterprises build dashboards nobody opens. The problem is not visualization. Dashboards answer known questions. Decisions get triggered by unknown ones." --- # Why Most Dashboards Go Unused Most enterprise BI dashboards end up rarely opened, or not opened at all. That is not a fringe finding. It shows up in Gartner research, in IBM's analysis of BI adoption, and in anyone's honest audit of their own BI estate. It describes the median outcome of the last twenty years of BI investment. The usual response is to build better dashboards with cleaner layouts, fewer metrics, and another design sprint. Adoption spikes for a week, then the pattern resumes. The answer is not visualization. ## Dashboards answer the questions you thought to ask A dashboard is a frozen answer to a question someone decided was important when it was scoped. Revenue by region. Margin by product line. Days sales outstanding by segment. Useful views, and static in a way that matters. Decisions are rarely triggered by a metric landing on target, they are triggered by something unexpected, such as a customer paying late for the third time, a SKU that has started shipping short, or a region where win rates have softened without a clear reason. None of those show up as a headline on the BI homepage. They show up when someone is already looking for them, and by then the work is investigation, which is a job a dashboard was never built to do. ## What dashboards are good at Dashboards broadcast a shared operational view for standing rituals like the weekly revenue review or the month-end close, and they are fine for monitoring a pre-agreed metric against a pre-agreed threshold. The mistake is expecting them to handle a different job, one they were never designed to do. ## The work nobody budgets for A number moves, the dashboard shows the variance cleanly and accurately, and then three days of Excel follow while someone pulls the detail, reconciles it against two other systems, writes a narrative, builds a slide, and walks the executive team through what it means. By the time the briefing lands, the business has moved on to the next variance. This cycle is the largest unlabeled line item in most analytics budgets, and almost nobody is measuring it. ## What a decision-ready output looks like A Playbook is not a replacement for a dashboard. It is the layer above. When a number moves, the Playbook does the investigation, explains what drove the variance, and delivers a reasoned briefing with recommended actions attached. The monitoring layer keeps doing its job. The decision layer does the work dashboards were never designed to do. ## Change the measure If most dashboards go unused, the problem is with the yardstick, not the dashboards. Dashboards built and users logged in measures activity rather than value. A more useful yardstick is the number of decisions a dashboard actually informed, which tends to be a much smaller number than leaders expect. Measure that and the whole conversation changes. ## FAQ **Why do most dashboards go unused?** Dashboards answer questions that were known when the dashboard was scoped. Most decisions get triggered by something nobody thought to ask until a metric moved, which is why dashboards stay useful for monitoring and shared operational views without being built for the investigation work that decisions actually require. **Is the answer to build better dashboards?** Redesigns help briefly, with adoption spiking for a week before settling back. The underlying issue is not visualization. A frozen chart cannot anticipate the question someone will ask on Tuesday, which is why investigation work keeps spilling into spreadsheets and side meetings. **What are dashboards actually good at?** Dashboards broadcast a shared operational view for standing rituals like weekly reviews and month-end close, and they are fine for monitoring a pre-agreed metric against a pre-agreed threshold. The mistake is expecting them to handle the investigation and decision work they were never designed for. **How should the value of a dashboard be measured?** Dashboards built and users logged in measures activity rather than value. A more useful measure is the number of decisions the dashboard actually informed, which is usually smaller than leaders think, and the gap between the two is where the real opportunity sits. --- --- title: "What is an AI Playbook? And Why It's Not a Dashboard, a Report, or a Chatbot" url: https://eyko.ai/blog/what-is-an-ai-playbook/ description: "An AI Playbook is a structured business briefing that delivers what happened, why, and what to do next. Not a dashboard. Not a report. Not a chatbot." --- # What is an AI Playbook? And Why It's Not a Dashboard, a Report, or a Chatbot An AI Playbook is a structured, evidence-based business briefing generated from live data. It progresses through three analytical layers: what happened in your business, why it happened, and what to do about it. Each Playbook includes an executive summary, a narrative analysis, supporting visualizations, and prioritized recommended actions. Playbooks are not dashboards with better formatting. They are not automated reports. They are not chatbot responses packaged in a document. They are a fundamentally different analytical output, and the difference is structural. ## What a Playbook is not **Not a dashboard.** Dashboards organize data into charts and excel at visibility. But a dashboard never tells you why revenue dropped, which factors drove margin compression, or which supplier contracts to renegotiate. The interpretation step falls on your team every time. A Playbook arrives with the interpretation already done. **Not a report.** Reports are assembled manually by analysts who pull data from multiple systems, clean it, format it, and deliver a structured document. The process takes days. A Playbook is generated in minutes from live data with the narrative, evidence, and recommended actions included. **Not a chatbot or copilot.** Copilots respond to individual prompts with unstructured answers. A Playbook is a complete analytical document with a defined structure that progresses from observation to explanation to action. A chatbot gives you an answer. A Playbook gives you a decision. ## The three-layer framework Every AI Playbook follows the Know What / Know Why / Know What Next structure: - **Know What**: Identifies what changed. An executive summary captures the key finding. Supporting data contextualizes the signal: deviation from target, affected segments, and period comparison. - **Know Why**: Investigates the cause. Root cause analysis traces the signal to its operational drivers across connected business systems. This is the layer that typically takes analysts days to produce. - **Know What Next**: Recommends action. Each recommendation is specific, quantified, and ready to execute. Prioritized by impact, ready for executive review. ## How eyko generates Playbooks eyko Beats generates AI Playbooks from your business systems. It connects to ERPs (Oracle JDE, SAP S/4HANA, Microsoft Dynamics), CRMs (Salesforce, HubSpot), and 100+ other data sources. Choose from 200+ pre-built Ideas across finance, supply chain, sales, marketing, and customer operations, or type any business question in plain language. ## FAQ **How is an AI Playbook different from a dashboard?** A dashboard visualizes data in charts and tables. An AI Playbook delivers a structured briefing that explains what happened, investigates why, and recommends what to do next. Dashboards require interpretation. Playbooks arrive with the interpretation done. **How is an AI Playbook different from an AI copilot?** An AI copilot responds to individual questions with unstructured answers. An AI Playbook delivers a complete analytical document with an executive summary, root cause analysis, and prioritized recommended actions. A copilot gives you an answer. A Playbook gives you a decision. **What business problems can AI Playbooks solve?** Playbooks work across finance, supply chain, sales, marketing, and customer operations. Common use cases include margin analysis, cash flow risk, pipeline review, churn detection, demand forecasting, and supplier risk assessment. eyko provides 200+ pre-built Ideas as starting points. **How long does it take to generate an AI Playbook?** Minutes. Connect your business systems, type a question or select a pre-built Idea, and eyko Beats generates a complete Playbook from your live data. There is no report building, no analyst queue, and no formatting step. **Do I need technical skills to use AI Playbooks?** No. Playbooks are generated from plain language prompts. Type a business question the way you would ask a colleague. eyko Beats handles the data connection, analysis, and structured output. --- --- title: Decision Intelligence vs AI Agents | What's the Difference? url: https://eyko.ai/decision-intelligence-vs-ai-agents/ description: AI agents execute tasks. Decision Intelligence answers questions. Learn the difference, when to use each, and how they work together in modern finance and operations teams. --- # Decision Intelligence vs AI Agents AI agents execute tasks. Decision Intelligence answers questions. Every enterprise software vendor is shipping AI agents, which leaves finance and operations leaders trying to work out where agents fit and what they actually deliver. The line between task automation and decision-making matters, and the two layers are evaluated on different terms. ## The short version: three different jobs - **Dashboards** monitor defined metrics against defined KPIs. - **AI agents** execute repetitive, rule-based tasks like journal posting, approvals, and data entry. - **Decision Intelligence** investigates, reasons, and explains. It delivers a Playbook covering what happened, why, and what to do next. Treating these three layers as interchangeable is where most AI evaluations go wrong. They are complementary, not competing. ## How to decide which layer a problem belongs to Three tests help sort the decision: 1. **Is the work repetitive or investigative?** If the same steps run the same way every time, an agent fits. If the work starts with a question and follows the evidence, that is Decision Intelligence. 2. **Is the answer known or unknown?** If you already know what you are looking for, a dashboard will surface it. If you need to find out what changed and why, you need an investigation layer. 3. **Is the goal speed or insight?** Agents optimize for speed and throughput. Decision Intelligence optimizes for the quality of the decision. Both matter. They are not the same goal. ## Stacking the layers in a finance team A typical day combines all three layers: 1. **Pulses surface the signal.** A metric moves outside its expected range. Pulses detect the change and flag it, before anyone thinks to check the dashboard. 2. **A Playbook investigates.** eyko reads the underlying data, identifies the drivers, and delivers a Playbook with what happened, why it happened, and what to do next. Evidence attached. 3. **An agent executes the decision.** Once the decision is made, an agent can carry out the action. Adjust a forecast, post a journal, route an approval. The agent runs on a decision that was made by a human, informed by Decision Intelligence. ## Five evaluation mistakes we see often - Treating agents as decision-makers. Agents should do what they are told, not decide what to do. - Expecting dashboards to explain themselves. Dashboards can reveal a variance. They cannot investigate one. - Buying agents without a decision layer. If you cannot trust the decisions driving agent actions, you do not want those actions running autonomously. - Measuring AI by speed alone. Faster is not the same as better. - Assuming one vendor covers all three layers. Evaluate each layer on its own merits, then look at how cleanly they connect. ## Frequently asked questions **Are AI agents the same as Decision Intelligence?** No. Agents execute defined tasks. Decision Intelligence investigates open-ended questions, reasons over the evidence, and explains the result. **Does eyko replace our agent tools?** No. eyko sits above agents and dashboards. It is the decision layer that tells agents what to execute and explains why dashboards moved. **Can Decision Intelligence trigger an agent?** Yes. A Playbook can hand off approved actions to agents for execution. The decision stays with a human, the execution is automated. **Do we need both?** Most finance and operations teams will use all three layers. The question is how they connect. --- --- title: AI Readiness for Finance | eyko url: https://eyko.ai/ai-readiness-for-finance/ description: You don't need a year-long data project before you invest in AI. eyko makes your data context-ready as you go, with Skills that handle the cleanup as part of running Playbooks. --- # AI Readiness for Finance Your finance team is ready to buy AI. You don't need to fix your data first. 93% of mid-market finance teams are investing in AI this year. Most are being told to consolidate, cleanse, and master their data before they can use it. That advice delays value and cleans data you'll never need. eyko works against the data you have, surfaces the gaps that matter, and fixes them as part of answering the question. ## The stall point Two things are true at the same time. AI is a board-level priority for finance. And data quality is the most popular reason to put it off. The result is a year of preparation work that produces no answers and no decisions. The teams that ship are the teams that stop treating data quality as a prerequisite and start treating it as a byproduct of running real Playbooks against real questions. - **87%** of CFOs say AI will be extremely or very important to finance operations in 2026 (Fortune). - **93%** of mid-market firms are actively investing in AI this year (CFO Growth Advisors). - **22%** of mid-market finance teams score above 7 out of 10 on data quality (Hackett Group, 2025 Finance Benchmark). The other 78% can still start. ## The shift: from data-ready to context-ready You don't need all your data clean. You need the data you're using right now to be context-ready. Context-ready data means three things. It is connected to the source systems you already run. It is mapped to the terms your team actually uses, so "revenue" means the same thing on two different reports. And it is trusted at the point of decision, with the lineage to back it up. eyko gets you to context-ready without a warehouse rebuild and without a data project. You point it at the systems you have, you ask the question you came to answer, and the cleanup happens around the answer, not before it. ## Clean as you go Most of the data quality issues you've been worrying about don't affect the question you're trying to answer. The ones that do are the ones eyko surfaces. 1. **Start with the question.** Pick a Playbook. "Why is OpEx 6% over plan?" "Where is margin leaking this quarter?" "Which renewals are at risk?" The question scopes the data that matters. 2. **eyko runs against your systems.** Stream connects to the source systems you already use. Skills carry your business context. The Playbook produces a reasoned briefing, not a dashboard. 3. **The briefing flags what to fix.** Duplicate suppliers across two systems. A vendor name spelled three ways. A cost center missing a hierarchy. eyko calls out the gaps that affect the answer, in the place you'll see them. 4. **You fix what's worth fixing.** The 5% of your data that touches the decisions you're acting on. Not the whole estate. ## How eyko helps eyko Beats includes the capabilities most teams assume they need to build or buy separately. - **Stream.** Connects to the source systems you already run. Your data stays where it lives. No migration, no replatform, no warehouse rebuild required. - **Skills.** Handle the grouping, classification, deduplication, and normalization that turn raw system data into context-ready data. We add Skills for the systems and use cases you need. - **Conversations.** Let your team challenge any number and see exactly where it came from. If something looks wrong, you can drill into the source without leaving the briefing. - **Pulses.** Monitor the metrics you care about and surface the signals worth attention, including data anomalies that could distort future answers. ## The five dimensions AI readiness is not a single score, and it is not a checklist you complete before you start. It is five dials. Stronger on each one means faster value. eyko works against all of them from day one. - **Data access.** Can eyko reach the systems where your numbers live? If your finance, ERP, and CRM data sit in cloud systems, the answer is almost always yes. - **Data quality.** How much does your existing data already support the question you're asking? Skills clean what needs cleaning as part of the answer. - **Business context.** Does eyko know what your terms mean? Skills carry that context for you. - **Process maturity.** How clearly defined are the questions you want answered? Ideas help you sharpen them. - **Adoption capacity.** Will your team actually use it? Trust comes from being able to challenge the number and see the working. Conversations are built for exactly that. ## Frequently asked questions **How do I know if my finance team is ready for AI?** You're more ready than you think. If your finance and operational data live in cloud systems and your team can articulate the questions they want answered, you have what you need to start. **Do I need a data warehouse before I can use AI in finance?** No. eyko connects directly to your source systems. A warehouse is not a prerequisite. **Is data quality really the rate limiter?** Not in the way most people think. The data you need to answer this quarter's question is a small subset of the data in your systems. eyko surfaces the quality issues that affect that answer and helps you fix them as part of the workflow. **How long does a first AI use case take to deliver?** For most mid-market finance teams, the first useful Playbook lands in weeks, not quarters. **Should I train my own model?** No. eyko applies frontier AI models to your business context through Skills. **What if my team is skeptical?** Good. Skepticism is the right starting point for AI in finance. eyko is built to be challenged. Every number in a briefing is traceable to its source. --- --- title: Beyond Dashboards | Why Visualization Isn't Enough url: https://eyko.ai/beyond-dashboards/ description: 60 to 80 percent of enterprise BI dashboards go unused. The dashboard shows the number, but someone still has to ask why. Decision Intelligence is the investigation layer above dashboards. --- # Beyond Dashboards The dashboard shows the number. Someone still has to ask why. Most enterprises measure BI success by dashboards built and users logged in. The more useful measure is whether anyone made a better decision. On that measure, dashboards alone are running out of road. ## The 80% problem Industry coverage and enterprise analytics audits converge on a consistent finding: somewhere between 60 and 80 percent of enterprise BI dashboards go unused. The dashboards were built. The data is accurate. The users have access. They just do not log in. The usual response is to build better dashboards. Better design, better KPIs, better drill-downs. That does not fix the problem, because the problem is not visualization. A dashboard answers the questions you thought to ask. The questions that actually drive decisions are often the ones you did not think to ask until something moved. Dashboards are monitoring tools, not investigation tools. ## A fair assessment Dashboards remain the right tool for monitoring defined metrics against defined KPIs at a defined cadence. That job is real and dashboards do it well. **What dashboards do well** - Show headline KPIs at a glance - Track performance against a plan - Create a shared view of what is happening - Support operational reviews on a regular cadence **Where dashboards run out of road** - Explaining why a number changed - Investigating an unexpected variance - Tracing a problem across multiple systems - Answering a question nobody thought to ask in advance - Turning evidence into a decision ## The investigation gap: three days of Excel, every time The pattern plays out in almost every finance and operations team. A number moves. The dashboard shows the variance. The analyst's job has just started. 1. The variance appears. A KPI moves outside its expected range. The dashboard shows it. Nothing about why. 2. Data gathering begins. Pulls from the ERP. Joins against the CRM. Exports to Excel. A day has gone. 3. The analysis takes shape. Pivot tables, variance decomposition, trend lines. Another day. 4. The story is written. The answer is assembled in slides or a memo. By the time leadership reads it, the question has often moved on. The cost is not the three days. The cost is the decisions that did not happen, or happened too late. ## From visualization to investigation Decision Intelligence sits above dashboards, reads the same data, applies business context, and delivers a reasoned briefing. Not a chart, a conclusion. - **Playbooks.** Autonomous analyses that investigate a question, trace it through the data, and deliver a decision-ready briefing. - **Pulses.** Proactive monitoring that surfaces changes worth attention, before anyone thinks to check the dashboard. - **Conversations.** A grounded follow-up layer that lets anyone dig deeper into a Playbook without leaving the evidence behind. ## Dashboards show, Decision Intelligence explains - If you need to know the number, use the dashboard. It is the right tool. - If you need to know why the number changed, use Decision Intelligence. A Playbook investigates and explains. - If you need to know what to do next, use Decision Intelligence. Playbooks deliver a recommended action with the evidence attached. ## Frequently asked questions **Are you saying dashboards are dead?** No. Dashboards remain the right tool for monitoring defined metrics. The argument is that dashboards alone are not enough. **Why do so many dashboards go unused?** Because dashboards answer the questions you thought to ask. The questions that drive actual decisions tend to start with something unexpected. **Do I need to replace my BI tools?** No. eyko sits above your existing BI and connects directly to the systems where your data lives. Nothing is replatformed. **How long until a finance team feels the difference?** Most teams see a noticeable change in the first month. Variance conversations get shorter, analyst time shifts from data gathering to judgment. **How is this different from an AI agent?** An AI agent executes a task. Decision Intelligence investigates and explains. Agents are useful for repetitive, well-defined work. Decision Intelligence is for the questions that need to be thought through. --- --- title: "Thirty Years of Dashboards Were Not Wasted" url: https://eyko.ai/blog/thirty-years-of-dashboards/ description: "Paul Sutton, eyko Commercial Ops, on why thirty years of BI work is the foundation AI needs, not a problem to rebuild before AI can deliver value." --- # Thirty Years of Dashboards Were Not Wasted The mission of BI, from the first OLAP cube to the latest cloud lakehouse, has been to give the enterprise governed, performant, trusted answers to a single question: what happened. It has, broadly, succeeded. ## The honest read of where BI's value chain stopped Dashboards have never been the destination. They have been a waypoint. A dashboard tells you what happened; it does not tell you why or what to do. That gap, between knowing what happened and knowing what to do about it, has been the unfinished part of BI's value chain for as long as BI has existed. The work the gap requires is reasoning: forming a hypothesis, pulling evidence, testing it against the data, and articulating a recommendation. It has always required humans because no previous generation of analytics technology could reason. This generation can. ## AI as the natural completion of the BI value chain AI is not a replacement for what BI teams built. It is the missing layer on top. The semantic layer becomes the structured context an AI reasoning system needs. The hierarchies are the shape AI needs to navigate the business. The governed sources are what an AI agent needs to ground its answers. The same artifacts that made BI trustworthy make AI trustworthy. This is the practical answer to the "AI data readiness" pitch: the readiness work has already been done by the BI team. The next step is to extend the value chain (why, and what next), not rebuild its foundation. ## What this means for the people who built the foundation The work BI, reporting, and analytics professionals have done is what makes AI possible in their organization. The data model, governance, access controls, refresh cadence, and trust with the business are the assets that compound with AI rather than being invalidated by it. The role shifts from producing reports about what happened to enabling decisions about what to do. ## FAQ **Do I need to replace my BI tools before adopting AI?** No. Modern AI works on top of the same governed semantic layer, hierarchies, and source connections your BI stack already exposes. The foundation BI has built over the past two decades is the foundation AI needs. Replacing BI to enable AI is a category error, usually proposed by firms selling rebuild work. **What is the difference between AI-powered analytics and traditional BI?** Traditional BI delivers what happened: dashboards, reports, scheduled metrics. AI-powered analytics, layered on the same data, delivers why it happened and what to do next. It investigates variance, forms hypotheses, tests them against the data, and recommends action. The two are complementary, not competitive. **Will AI replace BI developers and reporting analysts?** No. The people who built the semantic layer, governance model, and reporting infrastructure are the people whose work makes AI reliable in the enterprise. AI removes the lowest-value reporting requests and shifts the role toward enabling business decisions on top of the foundation. The skillset becomes more valuable, not less. **How do I evaluate whether my data is "ready" for AI?** If your business currently runs on the data, the data is ready. The question is not whether the data is clean enough in absolute terms, but whether it is the data your organization already trusts to make decisions. AI does not require a different standard of data than the one your reporting already meets. --- --- title: "The Decision Intelligence Landscape in 2026: Platforms, Approaches, and What to Look For" url: https://eyko.ai/blog/decision-intelligence-landscape-2026/ description: "Decision Intelligence is now a Gartner-recognized category. Here is a practitioner's guide to the platforms, the approaches, and the question most buyers get wrong." --- # The Decision Intelligence Landscape in 2026: Platforms, Approaches, and What to Look For In January 2026, Gartner published its inaugural Magic Quadrant for Decision Intelligence Platforms. Seventeen vendors. Four quadrants. "Decision Intelligence" now covers a range of approaches so wide that two platforms in the same category can solve completely different problems. If you are evaluating this category, the vendor name matters less than the approach. ## The one question nobody asks When a KPI moves, three questions follow. What changed? BI answers that. Why did it change? BI does not. What should we do about it? BI does not answer that either. The gap between What and Why is where analyst time disappears. The gap between Why and What Next is where decisions stall. Every platform claims to go beyond BI. The question nobody asks is which gap it actually closes, and how. ## Three approaches, one category Decision automation models, orchestrates, and executes decisions at machine scale (credit approvals, fraud detection, supply chain replenishment, dynamic pricing). Platforms: Aera Technology, FICO, SAS, IBM, Pegasystems, Decisions/ProcessMaker, InRule Technology, Rulex, FlexRule. Decision support and modeling augments human decisions with entity resolution, scenario modeling, knowledge graphs, and governance. Platforms: Quantexa, ACTICO, o9 Solutions, Faculty, Sapiens, RelationalAI, CRIF, Oracle. Decision-ready analysis keeps the human in the loop and removes the days of manual investigation that precede a decision, returning a structured briefing with root cause analysis and recommended actions. The human decides; the AI does the investigation. Platform: eyko Beats. ## Where eyko fits eyko Beats generates AI Playbooks: business briefings that deliver the What, the Why, and the What Next from your connected systems, each with an executive summary, root cause investigation, supporting data, and prioritized recommended actions. It connects to 100+ systems including Oracle ERP, SAP, NetSuite, Snowflake, Salesforce, HubSpot, and Workday, and complements your existing BI. Keep your dashboards for the What. Add eyko for the Why and the What Next. ## Five questions before you buy 1. Are you automating decisions or helping humans make them? 2. Which gap are you actually closing: visibility, execution, or investigation? 3. Does it deliver the Why (root cause) and the What Next (prioritized actions)? 4. How long before you see value: months of decision modeling, or a Playbook in minutes? 5. Does it work with what you already have? Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications. ## FAQ **What is a Decision Intelligence platform?** A Decision Intelligence platform goes beyond business intelligence to support, augment, or automate decision-making. Approaches range from enterprise decision automation to decision-ready analysis (generating briefings with root cause investigation and recommended actions for human review). **Who are the Leaders in the 2026 Gartner Magic Quadrant for Decision Intelligence?** The Leaders in the inaugural 2026 Gartner MQ are FICO, Aera Technology, SAS, IBM, ACTICO, and Quantexa. **What is the difference between decision automation and decision-ready analysis?** Decision automation executes decisions without human intervention. Decision-ready analysis keeps humans in the loop and removes the investigation bottleneck so they can decide faster. Automation is for high-volume repeatable decisions; decision-ready analysis is for judgment calls where context and experience matter. **How does eyko Beats compare to the platforms in the Gartner Magic Quadrant?** Most MQ platforms focus on decision automation, modeling, and governance. eyko keeps humans in the loop and generates AI Playbooks that deliver what happened, why, and what to do next, removing the investigation bottleneck between dashboards and decisions. **Do I need to replace my BI tools to use Decision Intelligence?** No. BI tools answer What happened. Decision Intelligence answers Why and What Next. Most organizations use both: BI for visibility, DI for the decision layer above it. **What should I look for when evaluating a Decision Intelligence platform?** Check whether it delivers root cause analysis and recommended actions, not just better visualizations. Check time to value. Confirm it connects to your existing systems. Look at the actual output, not the marketing page. --- --- title: "If Your Finance Data Isn't AI-Ready, How Did You Pass the Audit?" url: https://eyko.ai/blog/how-did-you-pass-the-audit/ description: "The AI data readiness pitch tells finance teams to rebuild before they can use AI. Jon Louvar, COO at eyko, on why the data your last audit ran on is the same data AI needs to reason over." --- # If Your Finance Data Isn't AI-Ready, How Did You Pass the Audit? The pitch arriving in finance leaders' inboxes this quarter, from the same firms that sold the EPM platform six years ago, is that AI cannot be useful in finance until you complete a data readiness program. If your finance data is not in a fit state to put AI against, how did it pass your last audit? Your last month-end close ran on this data. Your last reforecast was built from it. Your last quarterly filing reconciled against it. Your last covenant test passed because of it. The people telling you it is not ready for AI are telling you it is not ready for any of that either. Both claims cannot be true. ## What finance teams have actually been doing For twenty years, finance has quietly been the most rigorous data steward in the enterprise. While other functions debated whether dashboards mattered, finance was building the chart of accounts discipline, the reconciliation routines, the close calendars, the materiality thresholds, the access controls, the change management, the segregation of duties, the audit trail. Every entry has a source. Every adjustment has an explanation. Every variance has an owner. The numbers tie. They tie because someone made them tie, often manually, often at 11pm on the last working day of the quarter, often more than once. This is the work the AI data readiness pitch politely ignores. Said plainly, it is an insult to everything finance teams have built. ## The actual gap, named honestly There is a real gap. It is not the one being pitched. The gap is that finance has spent twenty years becoming exceptional at producing the WHAT, and the tools available to finance have never been able to help with the WHY or the WHAT NEXT. Variance reports tell you that EMEA revenue came in 6.4 percent below plan. They do not tell you why. To find out why, an analyst opens four different systems, pulls the customer-level data, segments by product, cross-references to pipeline, checks the deal slippage report, and writes a commentary. That investigation work is what finance actually wants help with. The number is already known. The story behind the number is what consumes the team. This is where AI, applied against the data finance already trusts, produces immediate value. AI reasons over the data the close already produces, in the same hierarchies, against the same business logic, and does in seconds what currently takes a week of analyst time. Nothing about the close, the chart of accounts, or the EPM stack needs to change. That is the upgrade. It runs on top of the close calendar, the reconciliation routines, and the controls finance already has in place. None of that work needs to be redone. ## What "AI data readiness" gets wrong on purpose The framing of AI data readiness as a prerequisite project is a category error, and a convenient one for the firms selling it. Yes, AI is only as good as the data it can access. That is true. It is also already true of your existing data. The data you take to the board is exactly the data AI needs to reason over to give you better answers about why the board numbers moved. The framing only works if you accept the premise that what your finance team has built is somehow not the foundation. That premise is wrong, and it is wrong in a specific direction. It is wrong in the direction of a multi-quarter rebuild engagement with associated fees. Be a little skeptical of any analysis whose conclusion happens to match the seller's price list. ## What good looks like for a finance team in 2026 You do not need to start over. You need to add a layer. Specifically, a layer that does three things on top of the data you already have. First, it answers what happened, which your existing reporting does well already. Second, it answers why it happened, by reasoning across the same governed data your variance reports already use. Third, it recommends what to do next, grounded in the same business context, not in generic best practices. WHAT, WHY, WHAT NEXT, on top of the foundation finance has already paid to build. That is the actual shape of AI in finance when it is honest. ## See what this looks like in your stack If you want a twenty-minute conversation about how this works against your existing close cycle, ERP, and reporting layer, our team will walk you through it without trying to pitch you a readiness program first. No data lake required. No rebuild. The data your team produces every month is already the data we work with. ## FAQ **Do I need to clean or restructure my finance data before applying AI?** If your data is good enough to file your annual report, certify SOX, and brief investors, it is good enough to apply AI against. The same governance, controls, and audit trail that satisfy your regulators are what AI needs to produce trustworthy answers. The "you need to start over" framing usually comes from firms selling rebuild engagements, not from finance teams using AI in production. **What is the difference between AI for finance and the BI tools I already have?** BI tools tell you what happened. Revenue by region, margin by product, variance versus plan. They are designed to surface known metrics on schedule. AI, applied to the same governed finance data, answers the questions BI was never built to answer: why did the number move, what is the underlying driver, and what should we do next. It is an add-on to your reporting stack, not a replacement for it. **Will AI replace my finance analysts?** No. AI removes the mechanical part of analysis, the data gathering, joining, and formatting that currently consumes most of an analyst's week. What remains is the interpretation, the judgment, the recommendation. That is the high-value work finance analysts already do best. AI gives them more of that work, not less work overall. **How long does it take to get value from AI in a finance function with existing systems?** Weeks, not quarters. Because AI in this context reasons over the data finance already produces, there is no foundation work to do first. The implementation timeline is about connecting to existing systems and defining the questions worth asking, not about rebuilding the data estate. --- --- title: "The Agentic Reasoning Gap" url: https://eyko.ai/blog/agentic-reasoning-gap/ description: "Every vendor is shipping AI agents. Every BI vendor is shipping AI copilots. Futurum calls the space between them the agentic reasoning gap. For finance and operations teams, that space is where most of the day happens." --- # The Agentic Reasoning Gap Every ERP vendor is shipping AI agents this year. Every BI vendor is shipping AI copilots. Futurum has called this [the agentic reasoning gap](https://futurumgroup.com/insights/oracle-positions-ai-database-26ai-to-lead-1-2-trillion-market-by-bridging-the-agentic-reasoning-gap/). Anyone who's spent a week tracking down why a variance moved knows the shape of the work it points to. Agents act. Dashboards display. Neither reasons. The reasoning step, the one that turns a number on a chart into a decision somebody can act on, is where most of the finance and operations day actually happens. ## The dashboard was where I started For a long stretch of my career I built the dashboards people are now trying to fit AI on top of. Close the month at an enterprise manufacturer, and the first question is always what moved. Cost of goods. Material variance. Overhead absorption. The dashboard would show the number, and a version of the same workflow kicked in every time: pull the detail from the ERP, reconcile against the financial model, cross-check against plant-level production, write the memo, build the slides, walk the CFO through it on the morning of the board pack. Two or three days, per variance, every close. The dashboards were accurate and the reports were on time. The decisions still needed a person sitting in front of a spreadsheet, rebuilding the context every month, before anyone could act. That gap between what the dashboard surfaced and what leadership actually needed to decide is the thing I have been trying to close ever since. ## The three layers Agents execute defined tasks. They are very good at that when the steps are stable and the rules are well understood. Use them where the workflow genuinely repeats. Dashboards monitor what you decided to track against what you decided to track it against. Done well, they are the single best operational view a finance team has. Done routinely, which is most of the time, they are a map that shows you the variance and stops there. Decision Intelligence is the layer most teams are still missing. It reads the same data the dashboard does, applies the business context the analyst would have applied, and returns a Playbook: a briefing with evidence, drivers, and a recommended next action. A finance leader can act on that, or push back on it, in a way a chart does not support. ## Where the evaluation goes wrong The pattern I see most often this year is a vendor pitching agents as the answer to a problem that is not agent-shaped. Leadership signs off on automating the workflow, the agent ships cleanly, the quarterly readout reports a win. Six months later the underlying decision is still being made the same way: a senior analyst, a spreadsheet, three days. The automation was real; the improvement was not. ## Why we built eyko The practical version of this is to stop picking tools by category. Start with the question you need answered and work backward to the layer that actually answers it. Most evaluations I see this year skip that step and jump to comparing vendors. This is the gap I kept running into. First from the finance seat at a manufacturer, then from the inside at a BI company, watching enterprises buy more of the same thing and hope it would close a gap it was never built to close. At some point my co-founder and I decided the only way the missing layer was going to ship was if we built it. That is why we started eyko. What we built was the missing layer. We call it a Playbook. It reads the same data your dashboard does, runs the investigation a senior analyst would have run, and returns a briefing a finance leader can act on, or push back on. What it does not do is make somebody rebuild the context from a spreadsheet the night before the board pack. ## FAQ **What is the agentic reasoning gap?** It is the phrase Futurum Group has used to describe the missing layer between AI agents that execute tasks and dashboards that display data. Neither layer reasons about a business question. The agentic reasoning gap is where investigation, explanation, and recommended action sit, and where most finance and operations decisions are actually made. **If I already have AI agents, do I still need a reasoning layer?** Usually yes. Agents are very good at executing tasks with stable steps and clear rules. They do not investigate variance, weigh drivers, or explain why a number moved. The reasoning layer is what produces the decision that the agent then acts on. Without it, you risk automating the workflow around a decision that was never quite right. **How is this different from AI search or a BI copilot?** AI search and BI copilots answer questions about the data on a dashboard. They make exploration faster and are useful inside the BI layer. They do not produce a structured investigation with drivers and a recommended action. Decision Intelligence sits above both and closes that gap. **Where do Playbooks fit in the three-layer frame?** Playbooks are the product surface for the reasoning layer. A Playbook investigates a question against live data, identifies the drivers, and returns a briefing with evidence and a recommended next action. It sits above dashboards and alongside agents, and it produces the output that neither of those layers is built for. **How should I evaluate AI tools given this frame?** Start with the question you need answered. If the answer is to do a task faster, an agent is the right fit. If it is to monitor a metric, a dashboard is the right fit. If it is to understand why something changed and what to do about it, you are in reasoning territory and neither agents nor dashboards will close the loop. Match the tool to the layer the question actually lives in. --- --- title: "Are you ready for decision intelligence? | eyko" url: https://eyko.ai/are-you-ready-for-decision-intelligence/ description: "Think you're not ready for decision intelligence? You're probably closer than you think. Here's what it actually asks of you, and what it doesn't." --- # Are you ready for decision intelligence? Not sure if you're ready for decision intelligence? You're closer than you think. Your 2026 is stacked. Your data isn't perfect. You've tried AI and it underwhelmed. Your business isn't like anyone else's. These are the four reasons people think they're not ready. None of them holds up. This page takes each one in turn. ## Some vendors want this to feel like a really big deal. It isn't. Some vendors in this category have a vested interest in making decision intelligence feel like a multi-year transformation project. It isn't one. You don't need to clean every row of data first. You don't need to connect every system. You don't need a system integrator and a six-figure budget. You don't even know yet what AI will uncover in your business. Start small, prove the value, and grow from there. Every stage produces results. The traditional approach makes you wait. eyko doesn't. ## Four reasons people think they're not ready Every conversation we have with people considering decision intelligence touches on the same four concerns. Each one is reasonable. Each one has a credible answer. ### Objection 01. I don't have time Your 2026 is stacked. That's fair. Everyone's is. But decision intelligence doesn't ask for a cleared calendar, a dedicated project team, or a steering committee. You start with files you already have. Your first Playbook runs in minutes. The first real insight lands in hours. There's no multi-month implementation to fit around your day job. You use it when you need to, and it quietly keeps working when you don't. ### Objection 02. My data isn't in the right shape Most AI projects don't stall because the AI is weak. They stall because someone said the data wasn't ready. eyko Beats is built on a different idea: cleanup happens around the answer, not before it. You ask the question, eyko runs against the systems you already have, and the gaps that affect that answer get surfaced in the briefing. Not the whole estate. Just the data touching the decision. Run the Playbook. Find the gaps. Fix what matters. ### Objection 03. AI isn't ready AI is everywhere now. Your grandmother uses it. And because it's everywhere, almost everyone has dabbled, and plenty have been disappointed. The reason is simple: general AI tools were built to be general. You use Claude for writing. Claude Code for coding. ChatGPT for summarizing your emails. None of those was built to analyze a margin decline, reconcile your cost centers, or explain why revenue is soft in a specific region. The technology is ready. It is ready in the hands of a purpose-built decision intelligence tool, not a chat window with no knowledge of your business. ### Objection 04. My business is unique Your business is unique. Your finance operations, your revenue model, your cost structure, the definitions your team uses when they talk to each other. All of it. A generalist tool doesn't know any of that. eyko does, because it captures the institutional knowledge that lives in your team's heads, the things your best analyst just knows, the reasoning that doesn't show up in your ERP. Once captured, it's used every time, and it stays with the business even when people move on. ## The roadmap. Four stages, value at each one 1. **Start with files.** Drop in a CSV, Excel file, or extract from your business system. Ask questions. See your first Pulses, Ideas, and Conversations in minutes. No data warehouse, no IT ticket, no cleanup project. 2. **Identify what matters.** See which data is producing the most valuable insights for your team. Decide what's worth building on before you commit to anything bigger. 3. **Connect your systems.** Move from feeding files to live connections with NetSuite, Workday, Snowflake, BigQuery, and more. Unify across systems. Clean as you go, not all upfront. 4. **Go enterprise-class.** Full data warehouse coverage, governance, and security. Same platform you started with on day one. No second tool, no migration, no hand-off. ## Frequently asked questions **Will this work if my year is already stacked?** Decision intelligence doesn't ask for a cleared calendar, a project team, or a steering committee. You start with files you already have, your first Playbook runs in minutes, and the first real insight lands in hours. There's no multi-month implementation to fit around your day job. You use it when you need to, and it quietly keeps working when you don't. **Do I need to clean my data before I start?** No. Cleanup happens around the answer, not before it. You ask the question, eyko runs against the systems you already have, and the gaps that affect that answer get surfaced in the briefing. Not the whole estate. Just the data touching the decision. The 5% of your data that matters for the question you're asking gets handled automatically. The rest waits until it matters. **I've tried AI and it didn't deliver. Why is this different?** General AI tools were built to be general. You use Claude for writing, Claude Code for coding, ChatGPT for summarizing your emails. None of those was built to analyze a margin decline, reconcile your cost centers, or explain why revenue is soft in a specific region. The technology is ready. It is ready in the hands of a purpose-built decision intelligence tool, not a chat window with no knowledge of your business. **My business is unique. Will eyko understand it?** Your business is unique. Your finance operations, your revenue model, your cost structure, the definitions your team uses when they talk to each other. A generalist tool doesn't know any of that. eyko captures the institutional knowledge that lives in your team's heads, the things your best analyst just knows, the reasoning that doesn't show up in your ERP. Once captured, it's used every time, and it stays with the business even when people move on. **What does it actually take to get started?** Less than you'd think. Bring a few files, or connect a system you already use. We'll help you choose a Playbook that maps to a question you actually want answered. You see the first results in the same session. From there, you decide what to connect next, what to refine, and how widely to roll it out. There's no big-bang launch. You're in motion from day one. --- --- title: "eyko Beats for NetSuite | Decision Intelligence for NetSuite Users" url: https://eyko.ai/eyko-beats-for-netsuite/ description: "eyko Beats adds a decision intelligence layer to NetSuite. Connect in minutes, run Playbooks against your live data, get answers your dashboards never gave you. No data warehouse. No implementation project." --- # eyko Beats for NetSuite eyko Beats sits above NetSuite as a decision intelligence layer. Your NetSuite continues to run your financials and operations exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via API or file import, run your first Playbook in under 30 minutes, and see the first real insight on day one. ## The gap NetSuite doesn't close NetSuite was built to run your financials, transactions, and reporting. It does that well. But every business question that matters, why is margin compressing, which customers are at risk, where is cash tied up, still ends with someone building a report, waiting for analysis, then trying to decide what to do next. eyko Beats closes that gap. - **Reports without answers.** NetSuite's reporting tells you what was, not what to do next. eyko Beats runs Playbooks that surface the decision and the context together. - **Monday morning report assembly.** Your FP&A team spends Mondays building the report your CFO needs by Tuesday. eyko's Conversations let your CFO ask the question directly, in plain language, against live NetSuite data. - **Anomalies hidden in the detail.** NetSuite shows the aggregate; the anomaly hides in the detail. eyko Beats surfaces deviations automatically: margin drop, overdue receivables spike, budget variance, flagged before you knew to look. ## How it works. Three steps. Same day. 1. **Connect or import.** Point eyko Beats at your NetSuite. Connect directly via API, or drop in a CSV or Excel export. No data warehouse. No IT ticket. No data prep project. 2. **Run a Playbook.** Pick the question on your list. "Why is gross margin down?" "Which accounts are at churn risk?" "Where is cash tied up?" The Playbook scopes the data and runs it. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks NetSuite teams run in week one - **Gross Margin by Product Line.** Week over week, against plan. Deviations flagged automatically. - **Cash Flow Pressure Detection.** DSO trend, overdue AR, and cash runway in a single briefing. - **Subscription Revenue Health.** MRR movement, churn signals, expansion vs contraction. - **OpEx Overrun Alert.** Department-level budget vs actual, with variance explanation. - **Revenue Recognition Risk.** Deferred revenue anomalies surfaced before period close. ## Frequently asked questions **Does eyko Beats replace NetSuite?** No. eyko Beats sits above NetSuite as a decision intelligence layer. Your NetSuite continues to run your financials and operations exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to NetSuite?** eyko Beats connects to NetSuite via direct API integration or file-based import (CSV, Excel, or native saved-search export). Most customers are running their first Playbook within 30 minutes of connecting. There is no data warehouse required, no ETL project, and no IT ticket needed to get started. **Do I need to clean my NetSuite data before I can use eyko?** No. eyko Beats is designed to work with real-world data, which means data that is messy, inconsistent, and incomplete. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. You see value immediately. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my NetSuite data?** eyko Beats is designed for business decisions, not just reporting. Typical questions include why gross margin is moving the way it is, which customers or product lines are at risk, where cash or OpEx is out of line with plan, and what should land on the executive agenda this week. Playbooks structure these questions into a repeatable briefing your team can run at any cadence. **How is eyko Beats different from NetSuite's saved searches and SuiteAnalytics?** NetSuite's native reporting tells you what happened. eyko Beats tells you what it means and what to do next. Saved searches are built around the data model of NetSuite. eyko Beats is built around the decision the business needs to make. The output is a briefing with context, not a table of numbers to interpret. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there. **Is there an MCP server for NetSuite?** Oracle has not released an official MCP server for NetSuite. The primary programmatic access methods are SuiteQL, the NetSuite REST Record API, and SuiteAnalytics Connect (which requires separate licensing). eyko Beats connects to NetSuite via the native API and saved-search export, with no SuiteAnalytics Connect license needed. For Oracle's current NetSuite developer documentation, see the NetSuite SuiteCloud Developer Resources at https://developers.netsuite.com/. --- --- title: "eyko Beats for SAP | Decision Intelligence for SAP Users" url: https://eyko.ai/eyko-beats-for-sap/ description: "eyko Beats adds a decision intelligence layer to SAP. Connect in minutes, run Playbooks across FI, CO, MM and more, get answers your BW reports never gave you. No data warehouse. No implementation project." --- # eyko Beats for SAP eyko Beats sits above SAP as a decision intelligence layer. Your SAP continues to run your operations and financials exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via API, ODBC to BW, or file import, run your first cross-module Playbook in under 30 minutes. ## The gap SAP doesn't close SAP was built to run your operations, supply chain, and transactions. It does that well. But every business question that matters, where is inventory out of balance, which suppliers are slipping, where is working capital tied up, still ends with someone building a report, waiting for analysis, then trying to decide what to do next. eyko Beats closes that gap. - **BW reports nobody reads.** Static reports run on schedule and stop being opened. eyko Beats trades the report for a Playbook: same data, framed as a decision, with the action recommended. - **Cross-module assembly.** Finance questions need FI, CO, and MM data joined together. eyko Beats reads across modules natively and delivers the briefing without the SQL or spreadsheet assembly. - **Standard cost variance hidden in detail.** Plant-level variance shows in the aggregate; the cause sits in a handful of orders. eyko Beats surfaces the orders and suppliers driving the variance, before the close meeting. ## How it works. Three steps. Same day. 1. **Connect or import.** Point eyko Beats at your SAP. Connect via API, ODBC, or drop in an extract. No data warehouse. No IT ticket. No data prep project. 2. **Run a Playbook.** "Why is plant cost variance up?" "Which suppliers are slipping on lead time?" "Where is working capital tied up?" The Playbook scopes the data and runs it. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks SAP teams run in week one - **Inventory Imbalance Detection.** Overstock and stockout risk across plants and SKUs. - **Supplier Performance Briefing.** On-time delivery, quality rate, and cost variance by vendor. - **Working Capital Health.** Payables, receivables, and inventory turns in one Playbook. - **Plant Cost Variance.** Actual vs standard cost by production order, deviations explained. - **Procurement Compliance.** Off-contract spend and preferred-supplier adherence flagged weekly. ## Frequently asked questions **Does eyko Beats replace SAP?** No. eyko Beats sits above SAP as a decision intelligence layer. Your SAP continues to run your operations and financials exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to SAP?** eyko Beats connects to SAP via direct API integration, ODBC connection to BW, or file-based import (CSV, Excel, or native extract). Most customers are running their first Playbook within 30 minutes of connecting. There is no data warehouse required, no ETL project, and no IT ticket needed to get started. **Do I need to clean my SAP data before I can use eyko?** No. eyko Beats is designed to work with real-world data, which means data that is messy, inconsistent, and incomplete. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. You see value immediately. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my SAP data?** eyko Beats is designed for business decisions, not just reporting. Typical questions include why plant cost variance is moving the way it is, which suppliers are at risk, where working capital is out of line with plan, and what should land on the executive agenda this week. Playbooks structure these questions into a repeatable briefing your team can run at any cadence. **How is eyko Beats different from SAP BW or SAC?** BW and SAP Analytics Cloud tell you what happened. eyko Beats tells you what it means and what to do next. BW reports are built around the data model of SAP. eyko Beats is built around the decision the business needs to make. The output is a briefing with context, not a table of numbers to interpret. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there. **Is there an MCP server for SAP?** SAP has been building AI integration capabilities through SAP Build and the SAP Business Technology Platform (BTP). SAP Joule uses these foundations to provide conversational access to some SAP data. eyko Beats connects directly to SAP's database layer for financial, procurement, and supply chain analysis, without requiring BTP configuration. For SAP's current AI and developer integration resources, see the SAP Developer Center at https://developers.sap.com/. --- --- title: "eyko Beats for JD Edwards | Decision Intelligence for JDE Users" url: https://eyko.ai/eyko-beats-for-jde/ description: "eyko Beats adds a decision intelligence layer to JD Edwards. Connect in minutes (World or EnterpriseOne), run cross-module Playbooks against your live data, get answers your UBE reports never gave you." --- # eyko Beats for JD Edwards eyko Beats sits above JD Edwards as a decision intelligence layer. Your JDE continues to run your finance, distribution, manufacturing, and projects exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via ODBC, JDBC, or UBE extract (World, EnterpriseOne, or both) and run your first cross-module Playbook in under 30 minutes. ## The gap JDE doesn't close JDE was built to run your finance, distribution, manufacturing, and projects, often across multiple companies and currencies. It does that well. But every business question that matters, why is job cost overrunning, where is multi-entity margin compressing, which subcontractors are slipping, still ends with someone in Excel reconciling a pull from one module against another. eyko Beats closes that gap. - **Excel as the consolidation layer.** Monthly close for multi-entity P&L is half JDE and half Excel. eyko Beats reads across companies and currencies natively, delivering the same pack as a live briefing. - **World vs EnterpriseOne fragmentation.** Reports that cross sites become custom projects. eyko Beats connects to both via direct extract or ODBC and treats them as one analytical surface. - **Job cost overruns surface late.** By the time the project manager sees the variance, the trade has already been ordered. eyko Beats flags the projects drifting before the variance lands. ## How it works. Three steps. Same day. 1. **Connect or import.** Point eyko Beats at your JDE. Connect via ODBC, JDBC, or drop in a UBE extract. World, EnterpriseOne, or both. No data warehouse. No IT ticket. No data prep project. 2. **Run a Playbook.** "Why is this project overrunning?" "Which branches are losing margin?" "Where is multi-entity cash tied up?" The Playbook scopes the data and runs it. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks JDE teams run in week one - **Job Cost Overrun Detection.** Project budget vs actual, with trend line and cause analysis. - **Multi-Entity Financial Consolidation.** Cross-company P&L without manual Excel assembly. - **Subcontractor Performance.** Cost, schedule, and compliance across active contracts. - **Fixed Asset Depreciation Audit.** Anomalies and classification errors surfaced automatically. - **Distribution Margin by Branch.** Gross profit by geography, product, and customer segment. ## Frequently asked questions **Does eyko Beats replace JD Edwards?** No. eyko Beats sits above JDE as a decision intelligence layer. Your JDE continues to run your finance, distribution, manufacturing, and projects exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to JDE?** eyko Beats connects to JDE via ODBC or JDBC against the underlying database, or via file-based import from UBE outputs and saved extracts. Both World and EnterpriseOne are supported. Most customers are running their first Playbook within 30 minutes of connecting. There is no data warehouse required, no ETL project, and no IT ticket needed to get started. **Do I need to clean my JDE data before I can use eyko?** No. eyko Beats is designed to work with real-world data, which means data that is messy, inconsistent, and incomplete. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. You see value immediately. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my JDE data?** eyko Beats is designed for business decisions, not just reporting. Typical questions include why a project is overrunning, which subcontractors are at risk, where multi-entity margin is compressing, and what should land on the executive agenda this week. Playbooks structure these questions into a repeatable briefing your team can run at any cadence. **How is eyko Beats different from JDE OneWorld reports or UBE outputs?** Native JDE reports tell you what happened. eyko Beats tells you what it means and what to do next. UBE outputs are built around the data model of JDE. eyko Beats is built around the decision the business needs to make. The output is a briefing with context, not a table of numbers to interpret. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there. **Is there an MCP server for JD Edwards?** Oracle has not released a dedicated MCP (Model Context Protocol) server for JD Edwards as of 2026. JDE data access for AI integrations typically goes through Oracle Integration Cloud, JDBC/ODBC connections, or direct UBE extract. eyko Beats handles the JDE connection natively, with the JDE schema knowledge and date/field translation built in, so you don't need to build or maintain a custom integration. For Oracle's current developer integration options, see Oracle JD Edwards Developer Resources at https://docs.oracle.com/en/cloud/saas/jd-edwards-enterpriseone/. --- --- title: "eyko Beats for Workday | Decision Intelligence for Workday Users" url: https://eyko.ai/eyko-beats-for-workday/ description: "eyko Beats adds a decision intelligence layer to Workday. Connect in minutes, run Playbooks against your live HR data, surface attrition risk and comp anomalies before they cost you. No data warehouse. No implementation project." --- # eyko Beats for Workday eyko Beats sits above Workday as a decision intelligence layer. Your Workday continues to run your hiring, headcount, comp, and people operations exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via API, ODBC to your reporting tenant, or extract, run your first people Playbook in under 30 minutes. ## The gap Workday doesn't close Workday was built to run your HR. It does that well. But every people question that matters, who is at risk of leaving, where is comp out of band, which teams are running hot on overtime, still ends with HR pulling a custom report and trying to decide what to do next. eyko Beats closes that gap. - **Attrition risk lands too late.** By the time the manager sees the report, the resignation has already landed. eyko Beats trends the signals and surfaces the at-risk cohorts weekly with the action recommended. - **Comp equity audits are a project.** When the board asks for the latest equity scan, the answer arrives weeks later. eyko Beats runs comp equity as a Playbook against live data: pay band distribution by role, level, gender, and tenure. - **Cross-team people decisions need an analyst.** Headcount, hiring, overtime: separate Workday reports that nobody connects. eyko Beats reads across modules natively and delivers the cross-team briefing. ## How it works. Three steps. Same day. 1. **Connect or import.** API, ODBC to the reporting tenant, or drop in an extract. No data warehouse. No IT ticket. No data prep project. 2. **Run a Playbook.** "Who is at risk of leaving this quarter?" "Where is overtime running hot?" "Where is comp out of band?" The Playbook scopes the data and runs it. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Workday teams run in week one - **Headcount vs Plan.** Actual vs budgeted FTE by department, with hiring pipeline gap analysis. - **Attrition Risk Signal.** Tenure, engagement, and role-change patterns that precede voluntary exits. - **Compensation Equity Scan.** Pay band distribution by role, level, gender, and tenure. - **Overtime and Labor Cost Pressure.** Hours and cost trending above benchmark, by team. - **Hiring Funnel Efficiency.** Time-to-fill, offer acceptance rate, and source quality by role. ## Frequently asked questions **Does eyko Beats replace Workday?** No. eyko Beats sits above Workday as a decision intelligence layer. Your Workday continues to run your HR, comp, and recruiting exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to Workday?** eyko Beats connects to Workday via direct API integration, ODBC against your Workday reporting tenant, or file-based import (CSV, Excel, or native report extract). Most customers are running their first Playbook within 30 minutes of connecting. **Do I need to clean my Workday data before I can use eyko?** No. eyko Beats is designed to work with real-world data. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my Workday data?** Who is at risk of leaving, where comp is out of band, which teams are running hot on overtime, and which roles have the worst time-to-fill. Playbooks structure these questions into a repeatable briefing your team can run at any cadence. **How is eyko Beats different from Workday Prism Analytics or Adaptive Planning?** Workday's native analytics tell you what happened. eyko Beats tells you what it means and what to do next. eyko is built around the people decision the business needs to make, with the briefing and the recommended action. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. **Is there an MCP server for Workday?** Workday has not released an official MCP server. Programmatic Workday access uses the REST API, SOAP API, or Report-as-a-Service (RaaS) depending on the data type. eyko Beats handles Workday's API authentication, effective-dating complexity, and tenant configuration automatically. For Workday's current API documentation, see the Workday Community APIs at https://community.workday.com/apis. --- --- title: "eyko Beats for Snowflake | Decision Intelligence for Snowflake Users" url: https://eyko.ai/eyko-beats-for-snowflake/ description: "eyko Beats adds a decision intelligence layer to Snowflake. Connect via the native connector, run Playbooks against your live warehouse, get answers your dashboards never gave you. No new ETL. No semantic-layer rebuild." --- # eyko Beats for Snowflake eyko Beats sits above Snowflake as a decision intelligence layer. Your Snowflake continues to run as your data platform exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via the native connector, role-scoped and read-only by default, run your first Playbook in under 30 minutes. ## The gap Snowflake doesn't close Snowflake was built to land, store, and compute on your data at scale. It does that well. But every business question that matters, why margin compressed, which customers are at risk, where credit consumption is spiking, still ends with someone writing a SQL query, sharing a dashboard, and waiting for the team to interpret the result. eyko Beats closes that gap. - **SQL is the gating bottleneck.** Every business question becomes a ticket to the data team. eyko's Conversations let the business ask the question directly, in plain language, against live Snowflake data. - **Dashboards age the moment they ship.** The team queries them when they remember they exist. eyko Beats trades static dashboards for Playbooks: structured briefings refreshed against the live warehouse. - **Credit costs spike, you find out late.** Someone runs an expensive query and the bill arrives next month. eyko Beats trends warehouse credit consumption and flags cost anomalies before the bill lands. ## How it works. Three steps. Same day. 1. **Connect.** Native connector, role-scoped, read-only by default. No data movement. No new warehouse. 2. **Run a Playbook.** "Why is gross margin moving the way it is?" "Which warehouses are eating credits?" "Where is product usage signalling churn?" The Playbook scopes the data and runs it against your warehouse. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Snowflake teams run in week one - **Data Cost Anomaly Detection.** Credit consumption spikes by warehouse, query, and user. - **Pipeline Attribution Analysis.** Multi-touch revenue attribution from event data to closed-won. - **Product Usage and Retention.** Feature adoption, session depth, and churn precursor signals. - **Customer Health Score.** Behavioral signals assembled into a single account-level briefing. - **Cross-System Revenue Reconciliation.** Finance, CRM, and product data compared in one Playbook. ## Frequently asked questions **Does eyko Beats replace Snowflake?** No. eyko Beats sits above Snowflake as a decision intelligence layer. Your Snowflake continues to run as your data platform exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to Snowflake?** eyko Beats connects to Snowflake via the native connector with a service-account credential, role-scoped and read-only by default. There is no data movement, no replication, and no new warehouse required. Most customers are running their first Playbook within 30 minutes of connecting. **Do I need to clean my Snowflake data before I can use eyko?** No. eyko Beats is designed to work with real-world warehouse data. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my Snowflake data?** Why gross margin is moving the way it is, which customer cohorts are showing churn precursors, where credit consumption is spiking, and how the marketing pipeline is converting at each touch. Playbooks structure these into repeatable briefings your team can run at any cadence. **How is eyko Beats different from a BI tool sitting on top of Snowflake?** A BI tool gives you dashboards. eyko Beats gives you Playbooks. Dashboards present numbers; Playbooks explain what changed, why, and what to do next. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. **Is there an MCP server for Snowflake?** Snowflake has an official MCP server available, providing AI agents and tools with direct access to Snowflake data and Cortex AI capabilities. eyko Beats also connects natively to Snowflake and is optimized for business-question Playbooks across your Snowflake data. The Snowflake MCP is best suited for developer and AI-agent use cases; eyko Beats is designed for business users who want answers without writing queries. For the official MCP server, see the Snowflake MCP Documentation at https://docs.snowflake.com/en/user-guide/snowflake-mcp. --- --- title: "eyko Beats for HubSpot | Decision Intelligence for HubSpot Users" url: https://eyko.ai/eyko-beats-for-hubspot/ description: "eyko Beats adds a decision intelligence layer to HubSpot. Connect via the native API, run Playbooks against your live pipeline, surface slip risk and campaign attribution your dashboards never gave you. No data warehouse." --- # eyko Beats for HubSpot eyko Beats sits above HubSpot as a decision intelligence layer. Your HubSpot continues to run your pipeline, marketing, and customer engagement exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via the native API integration using OAuth, read-only by default, run your first revenue Playbook in under 30 minutes. ## The gap HubSpot doesn't close HubSpot was built to track your pipeline, deals, and customer engagement. It does that well. But every revenue question that matters, which deals are actually going to close, where rep performance is slipping, which campaigns are generating pipeline that converts, still ends with someone exporting to a spreadsheet. eyko Beats closes that gap. - **Forecast is reps, not data.** Your forecast is what reps input as close dates. eyko Beats trends deal velocity, engagement recency, and stage progression by rep and segment, then surfaces the deals at real risk before forecast call. - **At-risk deals surface too late.** By the time a deal slips, the warning signs were sitting in HubSpot three weeks ago. eyko Beats runs a Slip Risk Playbook weekly with the cause and the recommended next action. - **Marketing attribution is a guess.** Marketing says the campaigns are working, sales says the leads are weak. eyko Beats runs Campaign Revenue Attribution against live HubSpot data, joining campaigns to closed-won across multi-touch journeys. ## How it works. Three steps. Same day. 1. **Connect.** Native API integration via OAuth. Read-only by default. No data warehouse. No IT ticket. 2. **Run a Playbook.** "Which deals are at slip risk this quarter?" "Which campaigns are generating pipeline that closes?" "Where is rep performance trending down?" The Playbook scopes the data and runs it. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks HubSpot teams run in week one - **Deal Velocity Breakdown.** Stalled deals by stage, rep, and deal size. Slippage flagged before it hits forecast. - **Pipeline Quality Assessment.** Coverage ratio, close-date accuracy, and engagement recency by rep. - **Churn Signal Detection.** Product usage drops, support ticket spikes, and engagement gaps by account. - **Campaign Revenue Attribution.** Which campaigns are generating pipeline that actually closes. - **Rep Performance Briefing.** Activity, conversion, and revenue contribution in one weekly Playbook. ## Frequently asked questions **Does eyko Beats replace HubSpot?** No. eyko Beats sits above HubSpot as a decision intelligence layer. Your HubSpot continues to run your pipeline, marketing, and customer engagement exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats connect to HubSpot?** eyko Beats connects to HubSpot via the native API integration using OAuth, read-only by default. Most customers are running their first Playbook within 30 minutes of connecting. There is no data warehouse required, no ETL project, and no IT ticket needed to get started. **Do I need to clean my HubSpot data before I can use eyko?** No. eyko Beats is designed to work with real-world CRM data. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my HubSpot data?** Which deals are at real slip risk, where rep performance is trending down, which campaigns are generating pipeline that closes, and which accounts are showing churn precursors. Playbooks structure these questions into repeatable briefings your team can run at any cadence. **How is eyko Beats different from HubSpot Reports and the Custom Report Builder?** HubSpot's native reporting tells you what happened. eyko Beats tells you what it means and what to do next. eyko is built around the revenue decision the business needs to make, with the briefing and the recommended action. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. **Is there an MCP server for HubSpot?** HubSpot has an official MCP server that provides AI tools with access to CRM records, contacts, companies, deals, and engagement data. eyko Beats also connects natively to HubSpot and is optimized for Playbook-based pipeline and revenue analysis. The HubSpot MCP is best suited for developer and AI-agent integrations; eyko Beats is designed for revenue and finance teams who want decisions, not just data access. For the official server, see the HubSpot MCP Documentation at https://developers.hubspot.com/mcp. --- --- title: "eyko Beats for Oracle EBS | Decision Intelligence for Oracle EBS Users" url: https://eyko.ai/eyko-beats-for-oracle-ebs/ description: "eyko Beats adds a decision intelligence layer to Oracle EBS. Connect via database, APEX, or extract, run cross-module Playbooks across AR, GL, AP, INV, and PO without manual Excel assembly." --- # eyko Beats for Oracle EBS eyko Beats sits above Oracle EBS as a decision intelligence layer. Your EBS continues to run your finance, procurement, manufacturing, and HR exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via direct database (ODBC/JDBC), APEX/REST endpoints, or Discoverer/BI Publisher extract, run your first cross-module Playbook in under 30 minutes. ## The gap Oracle EBS doesn't close Oracle EBS was built to run your finance, procurement, manufacturing, supply chain, HR, and the system of record for everything in between. It does that well. But every business question that matters, why is margin compressing in this division, where is working capital tied up, which suppliers are slipping, still ends with someone pulling Discoverer queries or building a Concurrent Manager job and waiting. eyko Beats closes that gap. - **Cross-module questions become projects.** Finance asks a question that touches AR, GL, and AP. eyko Beats reads across modules natively, joins the data, and delivers the briefing without the SQL or spreadsheet assembly. - **Discoverer reports nobody opens.** Static workbooks run on schedule and stop being read. eyko Beats trades them for Playbooks: same data, framed as a decision, delivered when it matters. - **Multi-org consolidations live in Excel.** Half EBS, half Excel, two days late. eyko Beats reads across operating units and ledgers natively and delivers the same pack as a live briefing. ## How it works. Three steps. Same day. 1. **Connect or import.** Direct database, REST APIs through APEX, or Discoverer/BI Publisher extract. 2. **Run a Playbook.** "Why is margin down in Operating Unit X?" "Which suppliers are slipping?" "Where is multi-org cash tied up?" 3. **Get the answer, not just the chart.** Executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Oracle EBS teams run in week one - **Multi-Org Financial Consolidation.** Cross-operating-unit P&L without manual Excel assembly. - **Cross-Module Margin Analysis.** Margin trends joined across AR, INV, and GL with cause analysis. - **Working Capital Health.** Payables, receivables, and inventory turns in one Playbook. - **Supplier Performance Briefing.** On-time delivery, quality rate, and cost variance by vendor. - **Procure-to-Pay Anomaly Detection.** Off-contract spend, three-way match exceptions, and tail-spend drift. ## Frequently asked questions **Does eyko Beats replace Oracle EBS?** No. eyko Beats sits above Oracle EBS as a decision intelligence layer. Your EBS continues to run your finance, procurement, manufacturing, and HR exactly as it does today. **How does eyko Beats connect to Oracle EBS?** Via direct database (ODBC/JDBC) read-access, REST APIs through APEX, or file-based import from Discoverer and BI Publisher extracts. Most customers are running their first Playbook within 30 minutes of connecting. **Do I need to clean my Oracle EBS data before I can use eyko?** No. eyko Beats works with real-world ERP data and surfaces data gaps as part of the Playbook process. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my Oracle EBS data?** Why margin is moving in a given operating unit, which suppliers are slipping, where multi-org working capital is tied up, and where procure-to-pay exceptions are concentrated. **How is eyko Beats different from Oracle Discoverer or OBIEE?** Oracle's native reporting tools tell you what happened. eyko Beats tells you what it means and what to do next. The output is a briefing with context, not a workbook to interpret. **What does eyko Beats cost?** Monthly subscription, no six-figure implementation, no multi-year contract. Most customers begin with one or two Playbooks and expand from there. **Is there an MCP server for Oracle EBS?** Oracle has not released a dedicated MCP server for Oracle E-Business Suite. EBS data access for AI integrations typically goes through Oracle Integration Cloud, REST APIs via APEX, or direct database (ODBC/JDBC) connections. eyko Beats connects to Oracle EBS natively, with the EBS schema knowledge built in across operating units and ledgers, so you don't need to build or maintain a custom integration. For Oracle's current EBS developer integration options, see Oracle E-Business Suite Documentation at https://docs.oracle.com/en/applications/ebusiness/. --- --- title: "eyko Beats for Power BI | Decision Intelligence for Power BI Users" url: https://eyko.ai/eyko-beats-for-power-bi/ description: "eyko Beats adds a decision intelligence layer to Power BI. Connect via the REST API and dataset connectors, run Playbooks that explain why your KPIs moved and what to do next." --- # eyko Beats for Power BI eyko Beats sits above Power BI as a decision intelligence layer. Your Power BI continues to run your visualisations, datasets, and dashboards exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. Connect via the REST API and dataset connectors (or directly to the underlying data sources), run your first decision Playbook in under 30 minutes. ## The gap Power BI doesn't close Power BI was built to visualise your data. It does that well. But every business question that matters, why is the metric moving, which segment is driving the variance, what should the team do about it, still ends with someone staring at a chart and trying to make sense of it. eyko Beats closes that gap. - **Dashboards without explanations.** The KPI moved; nobody knows why until someone digs through the data. eyko Beats runs a KPI Variance Playbook against the same data and shows the cause alongside the number. - **Reports built and forgotten.** Hundreds of reports, half unread. eyko Beats audits report consumption from Power BI usage metrics and identifies which dashboards are actually used vs which can be retired. - **Alerts without action.** Threshold breach fires an email; the recipient has to figure out what to do. eyko Beats turns thresholds into Playbooks with cause, impact, and the recommended next action. ## How it works. Three steps. Same day. 1. **Connect.** Power BI REST API for workspace and dataset access, or directly to the underlying data sources. 2. **Run a Playbook.** "Why did this KPI move?" "Which dashboards are actually being used?" "Which threshold breaches should we act on this week?" 3. **Get the answer, not just the chart.** Executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Power BI teams run in week one - **Dashboard-to-Decision Gap Analysis.** Why the numbers look the way they do, not just what they are. - **Report Consumption Audit.** Which dashboards are actually used vs which were built and forgotten. - **KPI Variance Explanation.** When a metric moves, eyko explains the cause, not just the number. - **Executive Briefing Generation.** Turn your Power BI data into a written narrative, ready for the board. - **Alert-to-Action Automation.** Threshold breaches trigger a Playbook, not just a notification. ## Frequently asked questions **Does eyko Beats replace Power BI?** No. eyko Beats sits above Power BI as a decision intelligence layer. Your Power BI continues to run your visualisations, datasets, and dashboards exactly as it does today. **How does eyko Beats connect to Power BI?** Via the REST API for workspace and dataset access, and connects directly to the underlying data sources (Snowflake, SQL Server, Azure SQL, files) where appropriate. Most customers are running their first Playbook within 30 minutes of connecting. **Do I need to clean my Power BI data before I can use eyko?** No. eyko Beats works with real-world data and surfaces data gaps as part of the Playbook process. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my Power BI data?** Why a KPI is moving the way it is, which dashboards are still worth keeping, where threshold breaches deserve action this week, and how to translate the dashboards into a written executive briefing. **How is eyko Beats different from a Power BI Q&A or Copilot?** Power BI's native Q&A and Copilot answer what. eyko Beats explains why and recommends what next. eyko is built around the decision, with the briefing and the recommended action. **What does eyko Beats cost?** Monthly subscription, no six-figure implementation, no multi-year contract. Most customers begin with one or two Playbooks and expand from there. **Is there an MCP server for Power BI?** Microsoft has not released a dedicated Power BI MCP server, though Microsoft Fabric and Azure AI Foundry provide AI integration capabilities across the Microsoft data ecosystem. eyko Beats connects to the source systems behind your Power BI reports, delivering the same analytical questions directly against the underlying data. For Microsoft's current AI developer resources, see Microsoft Learn: Power BI Developer at https://learn.microsoft.com/en-us/power-bi/developer/. --- --- title: "eyko Beats for BusinessObjects | Decision Intelligence for BO Users" url: https://eyko.ai/eyko-beats-for-business-objects/ description: "eyko Beats adds a decision intelligence layer to BusinessObjects. Connect via the universe, the underlying database, or extract, run Playbooks that turn historical reports into forward-looking decisions." --- # eyko Beats for BusinessObjects eyko Beats sits above BusinessObjects as a decision intelligence layer. Your BO platform continues to run your scheduled reports and universes exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without a migration. Connect via the BO universe connector, directly to the underlying database, or via Crystal Reports / Web Intelligence extract, run your first Playbook in under 30 minutes. ## The gap BusinessObjects doesn't close BusinessObjects was built to land structured reports, schedule them, and put a universe between the business and the warehouse. It does that well. But every business question that matters now, why is the metric moving, where should we focus this week, what is the next step, still ends with a report. The pack arrives, somebody reads it, and the decision is the work that comes after. eyko Beats closes that gap. - **Crystal Reports nobody acts on.** The report still runs on schedule but stopped being read. eyko Beats trades it for a Playbook framed as a decision with the action recommended. - **Migration projects without a clear value.** Moving off BO starts with auditing which reports are still used. eyko Beats audits report consumption and identifies which to retire, rebuild, or re-frame as forward-looking decisions. - **Finance pack delivered as a PDF.** Three days of analyst time for a static document. eyko Beats replaces the close pack with a live briefing, refreshed when the underlying data refreshes. ## How it works. Three steps. Same day. 1. **Connect or import.** BO universes, the underlying database (ODBC/JDBC), or a Crystal Reports / Web Intelligence extract. 2. **Run a Playbook.** "Which reports are still being used?" "Why is this KPI moving?" "Can the close pack be a live briefing instead of a PDF?" 3. **Get the answer, not just the report.** Executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks BusinessObjects teams run in week one - **Migration Value Identification.** Which reports are actively used and worth rebuilding vs retiring. - **Crystal Reports to Decision Conversion.** Legacy reports reframed as forward-looking Playbooks. - **Finance Pack Replacement.** Monthly close pack delivered as an eyko briefing, not a PDF. - **Scheduled Report Elimination.** Replace report runs with Playbooks that answer the underlying question. - **Universe Query Decision Layer.** Connect eyko to your BO universe and add the "so what" automatically. ## Frequently asked questions **Does eyko Beats replace BusinessObjects?** No. eyko Beats sits above BusinessObjects as a decision intelligence layer. Your BO platform continues to run your scheduled reports and universes exactly as it does today. **How does eyko Beats connect to BusinessObjects?** Via the BO universe connector, directly to the underlying database (ODBC/JDBC), or via file-based import from Crystal Reports and Web Intelligence extracts. Most customers are running their first Playbook within 30 minutes of connecting. **Do I need to clean my BusinessObjects data before I can use eyko?** No. eyko Beats works with real-world data and surfaces data gaps as part of the Playbook process. Cleanup happens around the answer, not before it. **What kind of questions can eyko Beats answer from my BusinessObjects data?** Which scheduled reports are still actually used, which Crystal Reports can be retired or re-framed, why a KPI is moving the way it is, and how the close pack reads as a live briefing instead of a static PDF. **Can eyko Beats help with a BO migration?** Yes. eyko Beats audits report consumption from your BO platform and identifies which reports are still used, which can be retired, and which deserve to be re-framed as forward-looking Playbooks. That alone often shrinks the migration scope by half. **What does eyko Beats cost?** Monthly subscription, no six-figure implementation, no multi-year contract. Most customers begin with one or two Playbooks and expand from there. **Is there an MCP server for BusinessObjects?** SAP has not released a dedicated BusinessObjects MCP server. SAP's AI integration strategy is focused on SAP Build and SAP BTP, which connect to SAP ERP and S/4HANA rather than BusinessObjects specifically. eyko Beats connects to the data sources that power your BusinessObjects environment, providing decision intelligence against the same data without the Universe dependency. For SAP's current developer resources, see the SAP Developer Center at https://developers.sap.com/. --- --- title: "eyko Beats for Tableau | Decision Intelligence for Tableau Users" url: https://eyko.ai/eyko-beats-for-tableau/ description: "eyko Beats adds a decision layer to your Tableau environment. Connect to the source data behind your dashboards. Get Playbooks that explain why metrics moved. No new BI tool. No extract dependency." --- # eyko Beats for Tableau eyko Beats sits above the source systems that power your Tableau environment, adding the decision intelligence layer that answers the questions your dashboards surface but do not explain. Tableau continues to provide visualization and dashboards for your teams. eyko connects to the same source systems your Tableau dashboards already use (databases, cloud data platforms, ERPs, CRMs) and runs Playbooks against live data, not extract snapshots. ## The gap Tableau doesn't close Tableau was built to visualize data. It does that well. But every time a dashboard reveals something unexpected, a metric down or a number that doesn't match the forecast, someone still has to figure out why. That's where eyko Beats lives. - **The viz shows what, not why.** Every Tableau dashboard ends with a number. When that number is wrong, the analysis starts over. eyko Beats runs a Playbook against the source data and surfaces the cause. - **Calculated field chaos.** Tableau makes it easy to define the same metric differently across workbooks. eyko Beats applies consistent definitions across every Playbook by going to the source system, not the workbook. - **Extract lag.** Tableau extracts refresh on a schedule; the data in your dashboard might be yesterday's. eyko Beats connects directly to source systems for live queries. ## Why it's hard to analyze Tableau - **Hyper extracts.** Tableau stores extracts as compiled `.hyper` files, optimized for Tableau's query engine but not queryable by anything else. Getting data out requires going back to the source. - **Calculated fields.** Business logic (LOD expressions, table calculations, calculated fields) lives inside the workbook, not in the data. The same metric can be calculated three different ways across three workbooks. - **VizQL.** Tableau's query language is generated automatically by drag-and-drop interactions. You can't write VizQL yourself, you can't export the logic from a viz as SQL — the business logic is trapped inside the visualization. ## How it works. Three steps. Same day. 1. **Connect your sources.** Point eyko Beats at the same source systems your Tableau dashboards connect to. No Hyper file extraction, no .twbx parsing. 2. **Run a Playbook.** Pick the question behind the dashboard. "Why is this metric down?" "Which customers in this viz are actually at risk?" "What changed since last week?" 3. **Get the context Tableau doesn't give you.** Executive briefing: what happened, why, what to watch, and what to do next. A decision to act on, not a chart to interpret. ## Playbooks Tableau teams run in week one - **Dashboard Anomaly Explanation.** When a Tableau metric breaks trend, a Playbook runs against the source data and surfaces the cause. - **Cross-Workbook Consistency Audit.** Compare the same KPI across multiple Tableau workbooks; surfaces where definitions diverge and why. - **Executive Narrative Generation.** Turn the data behind your Tableau pack into a written executive briefing. - **Dimension Drill-Down with Context.** Go beyond Tableau's drill-down to a Playbook that explains why a specific segment, geography, or product is behaving differently. - **Period-over-Period Driver Analysis.** Not just "revenue is down 4%" but which customers, products, or cost lines drove the change. ## Frequently asked questions **Does eyko Beats replace Tableau?** No. eyko Beats sits above the source systems that power your Tableau environment. Tableau continues to provide visualization and dashboards for your teams. eyko adds the decision intelligence layer that answers the questions your dashboards surface but do not explain. **How does eyko Beats connect to Tableau's data?** eyko Beats connects directly to the source systems behind your Tableau dashboards (databases, cloud data platforms, ERPs, and CRMs) rather than to Tableau itself. This means eyko always queries live data, not extract snapshots, and the connection does not depend on Tableau licensing or extract schedules. **Do I need to give eyko my Tableau workbooks?** No. eyko Beats does not need your .twbx workbooks or your Hyper extracts. It connects directly to the underlying data sources. Your Tableau environment continues to work exactly as it does today. **What kind of questions can eyko Beats answer that Tableau can't?** Tableau tells you what the data looks like. eyko Beats tells you why it looks that way and what to do about it. Specific questions eyko is built for: why a metric moved, which dimension is driving the change, whether a trend is structural or anomalous, and what action to take next. **How is eyko Beats different from Tableau's own AI features?** Tableau has AI-assisted authoring and natural language query (Einstein for Tableau). These operate within the Tableau data model and produce charts or summaries. eyko Beats produces executive-grade decision briefings (what happened, why, what to watch, what to do next) and reasons across multiple source systems simultaneously, not just the data inside Tableau. **What does eyko Beats cost?** eyko Beats is a monthly subscription with no multi-year contract and no implementation cost. Most customers start with one or two Playbooks against their existing source data, see value within the first week, and expand from there. **Is there an MCP server for Tableau?** Salesforce has not released a dedicated Tableau MCP server. Tableau's programmatic access uses the REST API for content management, the Hyper API for extract manipulation, and the Tableau Server Client (TSC) Python library. eyko Beats connects to the source systems that power your Tableau dashboards rather than to Tableau itself, so the .hyper / VizQL layer is bypassed entirely. For Tableau's developer documentation, see the Tableau Developer Portal at https://www.tableau.com/developer. --- --- title: "eyko Beats for Microsoft Fabric | Decision Intelligence for Fabric Users" url: https://eyko.ai/eyko-beats-for-microsoft-fabric/ description: "eyko Beats adds a decision intelligence layer to Microsoft Fabric. Connect via the native connector across Lakehouse and Warehouse, run Playbooks on live OneLake data, and get the decision, not another report. No added capacity." --- # eyko Beats for Microsoft Fabric eyko Beats sits above Microsoft Fabric as a decision intelligence layer for finance and operations leaders. Fabric continues to land, store, and model your data in OneLake exactly as it does today, and eyko adds the layer that answers the business questions on top of it: where revenue is leaking, why margin moved, which customers are about to churn. Connect through the native connector to the SQL analytics endpoint and the semantic model XMLA endpoint, role-scoped and read-only by default, and run your first Playbook in under 30 minutes. ## The gap Fabric doesn't close Fabric is excellent at bringing every source into OneLake and modeling it. But a finance or operations leader still cannot get a straight answer without a ticket to the BI team and a wait for someone fluent in DAX. That is the gap eyko Beats closes. - **You ask fewer questions because each one costs days.** Every question routes through the BI team, so you learn to ask only the ones worth the wait. eyko Conversations let you ask in plain language and the Playbook returns the answer with the reasoning. - **Reports are opened only when someone remembers them.** A Power BI report built months ago is opened only when someone recalls it. eyko trades static reports for Playbooks refreshed against the live model. - **By the time the report lands, the moment has passed.** The number you need to act on this week sits behind the BI team backlog, and the decision point passes before the dashboard refreshes. eyko runs the Playbook on demand and returns the decision while it can still change the outcome. ## Why Fabric is hard to turn into decisions - **Every answer goes through someone else.** A finance question becomes a request to the BI team, you wait for someone who can write the DAX, and the questions that would move the quarter never make the list. - **The same number, two different answers.** Revenue in one Power BI model does not match revenue in another because each workspace defined the measure its own way, so the meeting argues about whose number is right. - **The answer is spread across the platform.** One question, why did margin move, pulls from data in several places, so assembling it is a project that rarely gets done and the call gets made on instinct. ## How it works. Three steps. Same day. 1. **Connect.** Native connector to the SQL analytics endpoint and the semantic model XMLA endpoint, role-scoped, read-only by default. No data movement. No added capacity. Your data team sees a read-only connection governed by your existing permissions; you see answers the same day. 2. **Run a Playbook.** "Why is gross margin moving the way it is?" "Where is revenue leaking?" "Which customers are about to churn?" The Playbook scopes the data and runs it against your live model. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Fabric teams run in week one - **Revenue Leakage Detection.** Discounts, credits, and unbilled usage that quietly erode the top line, surfaced from your OneLake data. - **Margin Erosion Analysis.** The move in gross margin decomposed across product, region, and customer straight from your Delta tables. - **Customer Churn Signals.** Product and usage behavior in the lakehouse read as churn precursors, ranked while there is still time to act. - **Pipeline Attribution Analysis.** Closed-won revenue traced back through every touch in the OneLake event history. - **Cross-Workspace Revenue Reconciliation.** The Revenue figure reconciled across workspaces and competing semantic models. ## Frequently asked questions **Is eyko Beats for IT or for the business team?** eyko Beats is built for finance and operations leaders, not the BI team. You ask business questions of your Fabric data in plain language and get a decision with the reasoning behind it. Your data team only approves a read-only connection once, then stays out of the loop. **Does eyko Beats replace Microsoft Fabric?** No. eyko Beats sits above Microsoft Fabric as a decision intelligence layer. Fabric continues to land, store, and model your data exactly as it does today, and eyko adds the analytical and decision layer on top. You keep your Fabric estate and gain answers without replacing anything. **How does eyko Beats connect to Microsoft Fabric?** eyko Beats connects through the native connector to the SQL analytics endpoint and the semantic model XMLA endpoint, using a service-account credential that is role-scoped and read-only by default. There is no data movement and no added capacity, and it spans Lakehouse and Warehouse items. Most customers run their first Playbook within 30 minutes of connecting. **Do I need to clean or remodel my Fabric data first?** No. eyko Beats works with real-world medallion data across the bronze, silver, and gold layers as it already exists. The platform surfaces data gaps as part of the Playbook and handles deduplication, classification, and normalization on the way to the answer. You see value immediately and clean up around the answer, not before it. **What questions can eyko Beats answer from Fabric data?** eyko Beats answers business decisions rather than just reporting metrics. Typical questions include why gross margin is moving the way it is, where revenue is leaking, which cohorts show churn precursors, and how the pipeline is converting at each touch. Playbooks structure these into repeatable briefings your team can run at any cadence. **How is this different from a Power BI report on top of Fabric?** A Power BI report gives you a dashboard; eyko Beats gives you a Playbook. The report presents the number, while the Playbook explains what changed, why it changed, and what to do next. eyko is built around the decision the business needs to make, with the briefing and the recommended action attached. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced so you can start small and prove value before committing at scale. There is no six-figure implementation and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there. **Is there an MCP server for Microsoft Fabric?** Yes. Microsoft Fabric provides Model Context Protocol servers, and they target developer, agent, and code workflows. The Fabric Local MCP is generally available as an open-source, development-focused server covering API documentation, OneLake operations, and item creation. A Fabric Remote (Core) MCP server is in preview as a cloud-hosted server for authenticated operations, and a Fabric Data Agent can act as an MCP server in preview to expose enterprise data through natural language, which requires a paid F2 or higher capacity. eyko Beats connects natively to Fabric and is built for business users who want decision-grade Playbooks rather than query results or agent tooling. For the official servers, see https://learn.microsoft.com/en-us/rest/api/fabric/articles/mcp-servers/what-is-fabric-mcp-server. --- --- title: "eyko Beats for Databricks | Decision Intelligence for Databricks Users" url: https://eyko.ai/eyko-beats-for-databricks/ description: "eyko Beats adds a decision intelligence layer to Databricks. Connect via the native connector to a SQL warehouse governed by Unity Catalog, run Playbooks on live Delta tables, and get the decision, not a notebook. No cluster to manage." --- # eyko Beats for Databricks eyko Beats sits above Databricks as a decision intelligence layer for finance and operations leaders. Your lakehouse continues to process, store, and govern your data exactly as it does today, and eyko adds the layer that answers the business questions on top of it: where revenue is leaking, why margin moved, which customers are about to churn. Connect through the native connector to a Databricks SQL warehouse, using OAuth on-behalf-of and governed by Unity Catalog, role-scoped and read-only by default, and run your first Playbook in under 30 minutes. ## The gap Databricks doesn't close Databricks is built for data engineers and scientists, and it serves them well. But a finance or operations leader still cannot get a straight answer without joining a queue behind the engineering backlog. That is the gap eyko Beats closes. - **You wait in line behind the engineering backlog.** A business question becomes a ticket in the data team queue, so you ask fewer of them and the ones you do ask come back days later. eyko Conversations let you ask in plain language and the Playbook runs against the lakehouse, so the answer comes back to you, not to a sprint board. - **Notebooks go stale and are rerun only on request.** The notebook that answered the question last quarter is out of date, and refreshing it means asking the data team to run it again. eyko trades static notebooks for Playbooks refreshed against live Delta tables. - **You are the last to know.** The signal that a deal is slipping or a cost is climbing sits in the lakehouse for days before anyone outside the data team sees it. eyko surfaces the change the day it happens and tells you what to do about it, not next sprint. ## Why Databricks is hard to turn into decisions - **The answer is locked in code.** The definition of your KPI lives in a notebook only the data team can read, so reproducing a number means asking an engineer and the business waits. - **The same metric, more than one truth.** The same metric is defined in more than one place, so two teams pull two different figures and the meeting stalls on which one is right. - **Your best data team is still a queue.** You invested in a world-class lakehouse, and the business is further from the data than ever, because every question joins a line behind the engineering backlog. ## How it works. Three steps. Same day. 1. **Connect.** Native connector to a Databricks SQL warehouse, OAuth on-behalf-of, governed by Unity Catalog, role-scoped, read-only by default. No cluster to manage. No data movement. Your data team sees a read-only connection governed by your existing permissions; you see answers the same day. 2. **Run a Playbook.** "Why is gross margin moving the way it is?" "Where is revenue leaking?" "Which customers are about to churn?" The Playbook scopes the data and runs it against your lakehouse. 3. **Get the answer, not just the chart.** eyko delivers an executive briefing: what happened, why, what to watch, and what to do next. ## Playbooks Databricks teams run in week one - **Revenue Leakage Detection.** Discounts, credits, and unbilled usage that quietly erode the top line, surfaced from your Delta tables. - **Margin Erosion Analysis.** The move in gross margin decomposed across product, region, and customer straight from your Delta tables. - **Customer Churn Signals.** Product and usage behavior in the lakehouse read as churn precursors, ranked while there is still time to act. - **Pipeline Attribution Analysis.** Closed-won revenue traced through every touch in the Delta event history. - **Cross-System Revenue Reconciliation.** Finance, CRM, and product numbers reconciled across Unity Catalog in one Playbook. ## Frequently asked questions **Is eyko Beats for IT or for the business team?** eyko Beats is built for finance and operations leaders, not the data engineering team. You ask business questions of your lakehouse in plain language and get a decision with the reasoning behind it. Your data team only approves a read-only connection once, then stays out of the loop. **Does eyko Beats replace Databricks?** No. eyko Beats sits above Databricks as a decision intelligence layer. Your lakehouse continues to process, store, and govern your data exactly as it does today, and eyko adds the analytical and decision layer on top. You keep Databricks and gain answers without replacing anything. **How does eyko Beats connect to Databricks?** eyko Beats connects through the native connector to a Databricks SQL warehouse, using OAuth on-behalf-of and governed by Unity Catalog, role-scoped and read-only by default. There is no cluster to manage and no data movement. Most customers run their first Playbook within 30 minutes of connecting. **Do I need clean Delta tables or a finished medallion model first?** No. eyko Beats works with real-world lakehouse data across the bronze, silver, and gold layers as it already exists. The platform surfaces data gaps as part of the Playbook and handles deduplication, classification, and normalization on the way to the answer. You see value immediately and clean up around the answer, not before it. **What questions can eyko Beats answer from Databricks data?** eyko Beats answers business decisions rather than just reporting metrics. Typical questions include why gross margin is moving the way it is, where revenue is leaking, which cohorts show churn precursors, and how the pipeline is converting at each touch. Playbooks structure these into repeatable briefings your team can run at any cadence. **How is this different from Databricks SQL or a dashboard on the lakehouse?** Databricks SQL and lakehouse dashboards give you query results and charts; eyko Beats gives you a Playbook. The query returns the number, while the Playbook explains what changed, why it changed, and what to do next. eyko is built around the decision the business needs to make, with the briefing and the recommended action attached. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced so you can start small and prove value before committing at scale. There is no six-figure implementation and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there. **Is there an MCP server for Databricks?** Yes. Databricks provides managed Model Context Protocol servers in public preview that connect AI agents to data in Unity Catalog, Databricks AI Search indexes, and Genie Spaces, with Unity Catalog permissions always enforced and OAuth on-behalf-of authentication. Genie (Genie One) is the native natural-language assistant that translates questions into SQL. These target developer and AI-agent natural-language-to-SQL use cases. eyko Beats connects natively to Databricks and is built for business users who want decision-grade Playbooks rather than query results or agent tooling. For the managed servers, see https://docs.databricks.com/aws/en/generative-ai/mcp/managed-mcp. --- --- title: "eyko Beats integrations | NetSuite, SAP, JDE, Snowflake, Power BI, Tableau, more" url: https://eyko.ai/integrations/ description: "eyko Beats sits above your ERP, BI tools, data platform, CRM, and HR system. Connect to NetSuite, SAP, JD Edwards, Oracle EBS, Workday, Snowflake, HubSpot, Power BI, BusinessObjects, or Tableau, and run Playbooks against your live data." --- # eyko Beats integrations eyko Beats sits above the systems you already have, runs Playbooks against your live data, and delivers the answer with the context behind it. Each integration page covers how eyko connects to that specific system, what makes that system hard to analyze directly, and the Playbooks customers run in week one. ## ERP - [eyko Beats for NetSuite](https://eyko.ai/eyko-beats-for-netsuite/) — Financial decisions, made. Connect via API or saved-search export, no SuiteAnalytics Connect license required. - [eyko Beats for SAP](https://eyko.ai/eyko-beats-for-sap/) — Operational clarity, on demand. Native understanding of SAP's table structure, including the cluster tables that can't be queried directly. - [eyko Beats for JD Edwards](https://eyko.ai/eyko-beats-for-jde/) — Cross-module insight, without the project. Both World and EnterpriseOne, with Julian-date conversion built in. - [eyko Beats for Oracle EBS](https://eyko.ai/eyko-beats-for-oracle-ebs/) — Operational clarity, end to end. Multi-org and multi-ledger Playbooks across AR, GL, AP, INV, and PO. ## Data Platform - [eyko Beats for Snowflake](https://eyko.ai/eyko-beats-for-snowflake/) — Warehouse data, turned into action. Works with raw, staged, or transformed data; FLATTEN() and dbt-aware. ## CRM - [eyko Beats for HubSpot](https://eyko.ai/eyko-beats-for-hubspot/) — Pipeline intelligence, not just pipeline visibility. Slip-risk Playbooks, association joins, and rate-limit handling automatic. ## HRIS - [eyko Beats for Workday](https://eyko.ai/eyko-beats-for-workday/) — People decisions, grounded in data. ISU and effective-dating handled automatically; attrition risk surfaced before the resignation lands. ## BI Tool - [eyko Beats for Power BI](https://eyko.ai/eyko-beats-for-power-bi/) — The "so what" behind your dashboards. Connects to the source systems behind your reports, not to Power BI itself. - [eyko Beats for BusinessObjects](https://eyko.ai/eyko-beats-for-business-objects/) — From historical reports to forward decisions. Connects via the BO universe or directly to the underlying database. - [eyko Beats for Tableau](https://eyko.ai/eyko-beats-for-tableau/) — The "so what" behind your Tableau dashboards. Connects to source systems, not to .hyper extracts or the VizQL layer. ## Frequently asked questions **Which systems does eyko Beats connect to today?** eyko Beats has dedicated integration pages for ten systems across five categories: ERP (NetSuite, SAP, JD Edwards, Oracle EBS), Data Platform (Snowflake), CRM (HubSpot), HRIS (Workday), and BI Tool (Power BI, BusinessObjects, Tableau). Each integration page covers the connection methods, the technical complexity of that system, and the Playbooks customers run in week one. **What if my system isn't listed here?** eyko Beats is built on decades of ERP, CRM, and data platform integration expertise, so we connect to many more systems than the ones with dedicated pages. If your stack includes a system not shown here, talk to us about adding it. The platform is designed to work with the data you already have, not to wait for a new connector to be built. **Does eyko Beats replace my ERP, BI tool, or data warehouse?** No. eyko Beats sits above your existing systems as a decision intelligence layer. Your ERP continues to run your finance and operations, your BI tool continues to render your dashboards, and your data warehouse continues to land your data exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything. **How does eyko Beats actually connect to my data?** Connection methods vary per system: native API integration (NetSuite, HubSpot, Power BI), direct database connection via ODBC or JDBC (JD Edwards, Oracle EBS, BusinessObjects), the native Snowflake connector, file-based import from saved-search or extract files, or REST endpoints through APEX. Most customers are running their first Playbook within 30 minutes of connecting. There is no data warehouse required, no ETL project, and no IT ticket needed to get started. **How long does it take to get a first Playbook?** Most customers run their first Playbook within 30 minutes of connecting. There is no implementation phase and no data readiness phase to wait through. eyko Beats works with real-world data, which means data that is messy, inconsistent, and incomplete, and surfaces data gaps as part of the Playbook process rather than blocking on them. **Do I need to clean my data before connecting eyko?** No. eyko Beats handles deduplication, classification, and normalization automatically and surfaces data gaps as part of the Playbook process. You see value immediately. Cleanup happens around the answer, not before it. **What does eyko Beats cost?** eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. Most customers begin with one or two Playbooks against their existing source data, see value within the first week, and expand from there. --- --- title: "Why eyko? | What Makes eyko Beats Different | eyko" url: https://eyko.ai/why-eyko/ description: "Three things make eyko Beats different: Playbooks built around problems, decision velocity measured in minutes, and Skills that understand your business." --- # Why eyko? eyko Beats is structurally different from dashboards, reports, and AI copilots in three ways. Playbooks are built around business problems instead of data views. They deliver root cause analysis and recommended actions in minutes instead of days. And eyko Skills load your specific business context into every Playbook so the output reflects your definitions, your priorities, and your competitive landscape, not generic AI assumptions. This page expands each of the three differences from the homepage into a complete explanation. ## Difference one: Built Around Problems, Not Views Dashboards organize data into charts. You choose the dimensions, the filters, and the time range. The output is a view of your data. It is useful for exploration, but it is not structured around a business problem. Copilots respond to individual queries. You type a question and get a response. The output is an answer, not a structured briefing. Playbooks are different. Every Playbook begins with a specific business problem: margin compression, pipeline coverage, churn risk, supplier exposure, budget variance. The problem defines the structure, the analysis follows. The output is a structured briefing that progresses from what happened through why it happened to what to do about it. Executive summary, root cause investigation, and recommended actions are organized around the problem you asked about. Sample Playbook outputs against the same business problems shown as homepage pills: - Margin compression: "Gross margin declined 3.2pp. Western Region supplier costs elevated at 0.68 ratio against 0.54 benchmark." - Revenue pressure: "Revenue missed plan by 6%. EMEA 14% below target. 3 of 8 segments above plan." - Working capital drift: "DSO trending +6 days vs trailing 90. Three enterprise accounts hold $1.4M in overdue invoices in the same vertical." - Service decline: "Resolution time up 18% in Tier 2. Volume of P3 incidents is unchanged; backlog is concentrated in two on-call rotations." A dashboard is for exploration. A Playbook is for decision. Explore 200+ pre-built business problems at https://eyko.ai/ideas/. ## Difference two: Designed for Decision Velocity When a KPI deviates on a dashboard, a process begins. Someone notices, someone investigates, someone explains, someone aligns the team, someone decides. That cycle takes days. In fast-moving environments (supply chain disruption, tariff changes, competitive pricing shifts), it takes weeks. The cost of that cycle is not measured in analyst hours. It is measured in the dollars that leak, compress, or expire while the investigation happens. Playbooks compress the entire cycle into minutes by executing every step instantly. The root cause investigation that takes a senior analyst three days is generated in the time it takes to type the question. The narrative that takes a manager two hours to write arrives fully formed. The recommended actions that require a team meeting to prioritize arrive ranked. Decision velocity is not about working faster. It is about eliminating the time between knowing something changed and knowing what to do about it. Dashboards help you explore. Copilots help you query. Playbooks shorten the distance between signal and action. Timeline contrast: - Dashboard-led: signal, manual investigation (3 days), analysis deck (2 days), leadership review (1 day), decision (1 day) = 7 days - eyko Playbook: question typed, Playbook generated (minutes), leadership review (same day), decision (same day) = minutes ## Difference three: Intelligence That Understands Your Business Most AI analytics tools analyze data in isolation. They see numbers, detect patterns, and generate outputs. But they do not understand your business. They do not know that your Western Region suppliers are on a different contract cycle than your Eastern Region suppliers. They do not know that your Enterprise tier has different margin targets than your Mid-Market tier. They do not know that your board measures revenue on a trailing-twelve-month basis. They do not know that "churn" in your business means something specific to your model. eyko Skills change this. Skills are structured knowledge packages that load your business context directly into the platform. They cover four dimensions: - Industry dynamics: the competitive landscape, market conditions, regulatory environment, and sector-specific patterns that shape how your business operates. A supply chain Playbook for a manufacturer analyzes differently than one for a retailer. - Department priorities: what each function cares about, how they measure success, and what language they use. A Playbook for your CFO uses different framing than one for your VP of Operations, even when analyzing the same data. - Competitive pressures: who you compete with, where they are winning, and how your market position affects the analysis. A pricing Playbook that understands competitive positioning recommends differently than one that does not. - Operational definitions: your specific definitions, thresholds, naming conventions, and business rules. When your business defines "at-risk" as health score below 65, the Playbook uses your definition. Without context, AI produces answers. With context, AI produces decisions aligned to your business. Same data, different output: - Without Skills: "Revenue declined 6% this quarter." - With Skills: "Revenue declined 6%, with the shortfall concentrated in EMEA where the new tariff schedule took effect in week 3. Three of eight segments are above plan. EMEA requires a regional deep-dive with leadership within 5 days." ## Problems. Velocity. Context. That is why eyko. Any one of these differences would be meaningful. Together, they are structural. A Playbook that starts with your problem, delivers in minutes, and understands your business is a fundamentally different output than a dashboard, a report, or a copilot response. This is not an incremental improvement to business intelligence. It is the layer above it: the decision layer. ## Frequently asked **What makes eyko Beats different from other analytics tools?** Three things. Playbooks are structured around business problems, not data views. They deliver root cause analysis and recommended actions in minutes, not days. And eyko Skills load your specific business context into every analysis so the output reflects your definitions, your priorities, and your competitive landscape. **What are eyko Skills?** Skills are structured knowledge packages that load your business context into the platform. They cover industry dynamics, department priorities, competitive pressures, and operational definitions. Skills ensure that every Playbook reflects how your business actually works, not generic AI assumptions. **How is a Playbook different from a dashboard?** A dashboard organizes data into charts for exploration. A Playbook is a structured briefing built around a specific business problem that explains what happened, investigates why, and recommends what to do next. Dashboards require interpretation. Playbooks arrive with the interpretation done. **How fast can eyko generate a Playbook?** Minutes. Type a question or select a pre-built Idea and eyko Beats generates a complete Playbook from your connected data. The root cause investigation and recommended actions that typically take analysts days are delivered instantly. **Can eyko work alongside my existing BI tools?** Yes. eyko Beats is designed to complement your existing dashboards and reports. Keep your BI tools for data exploration. Add eyko as the decision layer that explains what your dashboards show and recommends what to do about it. **How does eyko understand my specific business?** Through Skills. You configure Skills with your industry context, department priorities, competitive landscape, and operational definitions. Every Playbook generated after that reflects your business, not a generic model. --- --- title: Sales Use Case - AI Playbooks for Sales Teams url: https://eyko.ai/use-cases/sales/ description: eyko Playbooks for sales teams, from forecast accuracy and pipeline analysis to deal risk scoring and rep performance. --- eyko Playbooks turn your CRM data into ranked, actionable intelligence in minutes. Connect Salesforce, HubSpot, Microsoft Dynamics, or your data warehouse and get AI-generated analysis covering pipeline health, forecast accuracy, deal risk, rep performance, pricing, and account expansion. Instead of weekly pipeline reviews based on rep judgment, your team gets structured analysis with evidence and ranked actions. ## Sales Playbook capabilities - **Forecasting and pipeline** - Detect systematic forecast bias, predict where coverage lands at quarter end, measure pipeline velocity by stage and segment - **Deal intelligence** - Score deals by slip risk, predict realistic deal sizes, surface win/loss patterns by competitor and segment - **Rep performance** - Predict performance trajectory, prioritize coaching, model ramp time and territory capacity - **Pricing and revenue** - Test pricing scenarios, monitor discount compliance, surface revenue drivers by segment - **Expansion and retention** - Identify cross-sell opportunities, predict upsell timing, forecast renewal pipeline ## Pre-built sales Ideas eyko Ideas are pre-built Playbook templates ready to run against your data: - Sales Forecast Accuracy - Pipeline Coverage Forecasting - Sales Cycle Optimization - Deal Size Prediction - Rep Performance Prediction - Optimal Pricing - Upsell Timing Optimization ## How it works 1. Connect your CRM (Salesforce, HubSpot, Microsoft Dynamics) or data warehouse 2. Select a sales Idea or type a question about your pipeline in plain language 3. Receive a complete Playbook with at-risk deals, root cause analysis, and ranked actions ## Sample Playbook output A Pipeline Health Playbook generated against a quarter-end snapshot includes: - **Executive summary** - Pipeline coverage at 2.8x against a 3.5x target. Mid-market segment at 1.9x (critical). Win rate down 8pp QoQ to 24%. - **Root cause** - Stage 3 to Stage 4 progression in mid-market dropped from 62% to 41%. Average sales cycle extended 16 days, all in that one transition. Discount depth above 15% shows no incremental win rate impact. - **Recommended actions** - Tighten discount approval thresholds to 12% without deal desk sign-off. Requalify pipeline opportunities stalled over 45 days across all segments. Deploy deal desk resource to mid-market segment to arrest win rate decline. ## Frequently asked **Does eyko replace our CRM?** No. eyko connects to Salesforce, HubSpot, Microsoft Dynamics, or your data warehouse and adds a Decision Intelligence layer on top. Your CRM remains the system of record. **Can Playbooks improve forecast accuracy?** Yes. Playbooks compare rep predictions with historical conversion patterns to detect systematic bias and identify where pipeline quality does not match reported coverage. **Can Playbooks identify at-risk deals?** Yes. Playbooks analyze deal aging, activity patterns, stage velocity, and engagement signals to flag deals at risk of slipping. They quantify the pipeline impact and recommend specific interventions. --- --- title: Marketing Use Case - AI Playbooks for Marketing Teams url: https://eyko.ai/use-cases/marketing/ description: eyko Playbooks for marketing teams, from attribution modeling and campaign ROI to lead scoring, content performance, and ad spend optimization. --- eyko Playbooks turn your marketing data into ranked, actionable intelligence in minutes. Connect HubSpot, Salesforce, Google Analytics, or your data warehouse and get AI-generated analysis covering attribution, channel ROI, lead quality, content performance, and audience targeting. Cross-channel data is unified within each Playbook, so the answer to "what is actually working?" stops being a week-long assembly job. ## Marketing Playbook capabilities - **Attribution and ROI** - Multi-touch attribution that reveals true channel contribution. Campaign and event ROI prediction. Marketing mix modeling. CAC analysis by channel and segment. - **Budget and spend** - Ad spend optimization, budget allocation across channels, channel mix optimization, spend efficiency analysis, budget variance tracking. - **Lead and pipeline** - Lead scoring optimization, MQL quality analysis, lead-to-revenue mapping, pipeline source attribution, funnel conversion analysis. - **Content and engagement** - Content performance prediction, topic cluster analysis, engagement pattern analysis, SEO performance monitoring, social media ROI. - **Audience and targeting** - Audience micro-segmentation, persona performance analysis, account-based marketing scoring, lookalike audiences, intent signal detection. ## Pre-built marketing Ideas eyko Ideas are pre-built Playbook templates ready to run against your data: - Attribution Modeling - Campaign ROI Prediction - Ad Spend Optimization - Lead Scoring Optimization - Channel Mix Optimization - Audience Micro-Segmentation - Account-Based Marketing Scoring ## How it works 1. Connect your marketing automation, CRM, and analytics platforms (HubSpot, Salesforce, Google Analytics) or your data warehouse 2. Select a marketing Idea or type a question about your campaigns in plain language 3. Receive a complete Playbook with attribution insight, root cause analysis, and budget recommendations ## Sample Playbook output A Campaign Performance Playbook generated against a quarter-end snapshot includes: - **Executive summary** - Cross-channel ROAS at 3.2x against a 4.0x target. LinkedIn at 5.1x (top performer); paid search at 1.8x (underperforming). CAC up 14% to $1,840 driven by mid-market increases. - **Root cause** - Last-click attribution over-credits paid search by 42%. Multi-touch reveals organic content drives 3.1x more assisted conversions than direct attribution shows. Mid-market CAC up 28% traces to lead scoring miscalibration: 28% of MQLs rejected by sales within 48 hours. - **Recommended actions** - Shift $240K from paid search to LinkedIn and organic content based on multi-touch attribution data. Recalibrate lead scoring model to reduce 28% sales rejection rate. Retire or refresh 22 blog posts with zero pipeline attribution and invest in 4 high-performing topic clusters. ## Frequently asked **Can Playbooks solve the attribution problem?** Playbooks model multi-touch attribution across your connected data sources and reveal true channel contribution. They show which touchpoints influence pipeline, not just which touchpoint was last. **Does eyko integrate with marketing platforms?** Yes. eyko connects to HubSpot, Salesforce, Google Analytics, and 100+ additional systems. Cross-channel data is unified within each Playbook. **Can Playbooks optimize ad spend across channels?** Yes. Playbooks analyze cross-channel ROAS and identify where spend is wasted and where reallocation would generate more pipeline. --- --- title: "Data to Dollars | How AI Playbooks Drive Revenue & Savings | eyko" url: https://eyko.ai/data-to-dollars/ description: "Every AI Playbook ends in dollars made or dollars saved. See how eyko turns business data into revenue recovered, costs avoided, and margins protected." --- # Data to Dollars Every AI Playbook generated by eyko Beats ends in a dollar outcome. Either dollars saved (revenue leakage closed, procurement waste consolidated, working capital freed, margin protected) or dollars made (pricing uplift, expansion pipeline, addressable market uncovered, ARR protected). This page is the ROI hub: it quantifies what Playbooks are worth, by scenario and by function, in numbers a CFO can act on. ## The premise Dashboards show charts. Playbooks show money. A dashboard tells you margin is down. A Playbook tells you margin is down 3.2pp, which 4 product lines drove the decline, which actions recover $340K, and which are most time-sensitive. Same data, different output. The output is a quantified, prioritized action list, not a chart you still have to interpret. ## Dollars Saved (six scenarios) Every organization has money leaking through process gaps, procurement waste, inventory imbalance, and operational inefficiency. Playbooks find it. - Revenue Leakage Detection: $340K recovered across 3 business units (billing errors, unapplied credits, unauthorized discounts). - Tail Spend Detection: $680K in annual savings by consolidating 340 vendors to contracted alternatives. - Inventory Optimization: $1.2M in working capital freed by rebalancing stock across 120 SKUs. - Inflation Margin Sensitivity: $1.8M in addressable savings identified across procurement and operations. - Cash Flow Forecasting: $420K in receivables accelerated by targeting 5 accounts at CFO level. - Ad Spend Optimization: $240K in spend reallocated from underperforming channels to top 3 campaigns. ## Dollars Made (six scenarios) Playbooks do not just find waste. They find growth. Pricing gaps, under-served territories, expansion windows, and pipeline opportunities that your dashboards never surfaced. - Optimal Pricing: $6.8M in annual revenue uplift available from repricing 3 configurations. - Territory Planning Optimization: $4.8M in addressable market uncovered in 2 under-served territories. - Renewal Risk Prediction: $3.6M ARR protected by intervening on 9 accounts 4 months early. - Event ROI Prediction: $2.1M in pipeline influence forecast from optimized pre-event strategy. - Campaign ROI Prediction: $1.1M in incremental pipeline projected from budget reallocation. - Upsell Timing Optimization: $35.2M addressable expansion pipeline identified across 2,841 accounts. ## The cost of waiting The dollar value of a Playbook finding is only half the equation. The other half is time. A $340K revenue leakage finding is worth $340K whether it takes 6 weeks or 6 minutes to find. The difference is 6 weeks of continued leakage. Every week of manual investigation is a week of dollars leaking, margins compressing, opportunities expiring, and competitors moving. Playbooks compress that cycle from weeks to minutes by doing the analysis instantly. ## ROI by function (typical first-Playbook outcomes) - Finance: $200K to $500K in variance recovery or leakage detection. 3 to 5 days saved per analysis cycle. Use cases: budget variance, revenue leakage, margin protection. - Supply Chain: $500K to $2M in sourcing optimization or risk avoidance. 1 to 2 weeks saved per risk assessment. Use cases: tariff mitigation, inventory rebalance, supplier scoring. - Sales: $1M to $5M in pipeline quality improvement. 2 to 3 days saved per forecast cycle. Use cases: forecast accuracy, pipeline coverage, deal intelligence. - Marketing: $100K to $500K in spend reallocation. 1 week saved per attribution review. Use cases: attribution, campaign ROI, channel optimization. - Customer Success: $500K to $3M in ARR protection. 2 to 4 weeks saved per risk review. Use cases: churn prediction, renewal risk, expansion timing. - Operations: $300K to $1.5M in efficiency gains. 1 to 2 weeks saved per operational review. Use cases: capacity planning, fulfillment optimization, cost analysis. ## FAQ **How quickly do teams see ROI from eyko Beats?** Most teams identify actionable dollar outcomes from their first Playbook, which can be generated within 24 hours of connecting data sources. The speed depends on data readiness, but the analysis itself takes minutes. **What is the typical dollar value of a first Playbook?** It varies by business function and data maturity. Finance teams typically uncover $200K to $500K in leakage or variance recovery. Supply chain teams identify $500K to $2M in sourcing optimization. Sales teams surface $1M or more in pipeline quality improvements. The dollar figures on this page are based on sample Playbook outputs from real business scenarios. **How does eyko calculate recommended actions?** Playbooks trace root causes across your connected data and generate recommended actions tied to specific findings. Each action is quantified with an estimated dollar impact based on the data analysis, not generic benchmarks. **Can Playbooks quantify the cost of not acting?** Yes. Playbooks include time-sensitive context: how much leakage continues per week, how much margin compresses per quarter, how much pipeline expires per month. The cost of delay is part of the analysis. **What is the ROI of Decision Intelligence compared to dashboards?** Dashboards provide visibility but require manual investigation, interpretation, and alignment before a decision is made. That process takes days or weeks. Playbooks deliver the investigation and recommendation in minutes. The ROI difference is the value of acting weeks earlier on the same findings. **How does the cost of eyko Beats compare to hiring another analyst?** A senior analyst costs $120K to $180K per year and can produce 2 to 4 deep analyses per month. eyko Beats generates unlimited Playbooks from connected data for a fraction of that cost. The comparison is not one-for-one because Playbooks and analysts serve different functions, but the economic case for augmenting analyst capacity with Playbooks is clear. --- --- title: "eyko Beats for Analysts | From Report Builder to Strategic Advisor | eyko" url: https://eyko.ai/eyko-beats-for-analysts/ description: "eyko Beats gives analysts their time back. Stop building reports. Start advising on decisions. AI Playbooks handle the assembly so you can focus on the strategy." --- # eyko Beats for Analysts eyko Beats handles the data assembly, the investigation, and the formatting. The analyst handles the judgment, the context, and the strategy. That is the split. This page is written peer-to-peer for business analysts and BI professionals who are evaluating eyko, championing it internally, or trying to understand what AI Playbooks mean for their role. ## The reality: 70% assembly, 20% formatting, 10% thinking That is how most analysts describe their week. Pull data from 3 systems, clean it, join it, format it into a slide deck, add commentary, send it to a manager who asks for a different cut. Rebuild. Resend. The tools available (SQL, Excel, Power BI, Tableau, Python) are powerful, but they all require manual assembly before analysis can begin. The investigation, root cause tracing, narrative, and recommendation happen after the report is built. If the report takes 3 days, the thinking gets whatever time is left. ## What changes with Playbooks - **You stop pulling data.** Playbooks connect to business systems and generate analysis from live data. No SQL queries, no manual joins. The job shifts from "get the data" to "interpret what the data means." - **You stop building decks.** Playbooks arrive as structured briefings: executive summary, narrative analysis, supporting data, recommended actions. The output format is consistent and executive-ready. - **You start advising.** Review the Playbook, add business judgment, refine recommendations based on context the AI does not have (politics, relationships, timing), and present to leadership as a strategic advisor. - **You become harder to replace.** An analyst who builds reports can be replaced by a tool. An analyst who interprets Playbooks, adds business context, and advises leadership cannot. ## Four capabilities, one workflow - **Playbooks** generate the complete analysis in minutes. The starting point is a finished draft, not a blank screen. - **Conversations** support multi-turn follow-up on any Playbook finding ("break this down by region", "what drove the Q3 change?"). - **Pulses** are live interactive tables and charts that stay in sync with connected systems. - **Ideas** are 200+ pre-built Playbook starting points across Customer, Supply Chain, Sales, Marketing, and Finance. ## Before and after the same analyst week **Before eyko**: 4 hours of data pulls, 6 hours of variance analysis in Excel, 3 hours rebuilding after a manager request, 4 hours of slide-deck formatting, 2 hours presenting and answering follow-ups manually. Total: 19 hours assembly + formatting, 1 hour strategic thinking. **After eyko**: 30 minutes generating a Playbook from live data, 1 hour adding business context and refining recommendations, 1 hour running follow-up Conversations to test hypotheses, 1 hour presenting the Playbook to leadership with the analyst's advisory overlay, and 20 hours on strategic projects, scenario modeling, and cross-functional advisory. Total: 30 minutes assembly, 23.5 hours strategic thinking. The data is the same. The analysis is the same. The time allocation is completely different. ## For skeptics Analysts are skeptical by nature. Tools that promise to "automate analytics" frequently deliver generic summaries no CFO would trust. Playbooks are different because they are structured, evidence-based, and traceable. Every finding links back to the underlying data. Every recommendation is quantified. Nothing is a black box. Analysts use AI to handle the parts of the job that never required judgment in the first place (data assembly, formatting, initial investigation). The parts that do require judgment (business context, stakeholder dynamics, strategic framing) remain with the analyst. ## Connections eyko Beats sits above the existing analytics stack. It does not replace BI tools or data warehouses. It reads from the same systems and adds the decision layer. Connects to Oracle ERP (JDE, EBS, PeopleSoft), SAP, NetSuite, Workday, Power BI, Tableau, Qlik, BusinessObjects, Salesforce, HubSpot, Microsoft Dynamics, Snowflake, BigQuery, Databricks, Redshift, and 100+ more. ## Frequently asked **Will AI Playbooks replace business analysts?** No. Playbooks replace the assembly and formatting work that consumes most of an analyst's week. The judgment, business context, and strategic advisory that make analysts valuable cannot be automated. eyko Beats makes analysts more valuable, not less necessary. **Do I need to learn a new tool?** Playbooks are generated from plain language prompts. If you can type a business question, you can generate a Playbook. There is no new query language, no scripting, and no dashboard builder to learn. **Can I trust the output?** Every Playbook finding is traceable to the underlying data. There are no black-box summaries. Every number, every root cause, and every recommendation is grounded in your connected data with clear attribution. **How does eyko Beats work with my existing BI tools?** eyko Beats complements existing tools. Keep Power BI or Tableau for visual exploration. Use eyko for structured analysis, root cause investigation, and recommended actions. They connect to the same data sources. **Can I customize or refine a Playbook after it is generated?** Yes. Playbooks are starting points, not final outputs. Use Conversations to ask follow-up questions, drill into specific findings, or request alternative cuts of the data. Add business context before presenting to leadership. **What if the Playbook misses something I would have caught?** That is exactly why analysts are essential. Playbooks analyze data at speed. Analysts add the context, judgment, and institutional knowledge that data alone cannot provide. The best outcomes come from Playbook analysis refined by analyst expertise. --- --- title: eyko Acceptable Use Policy url: https://eyko.ai/aup/ description: eyko's Acceptable Use Policy governs how customers and authorized users may use the eyko platform, including prohibited activities, AI and machine learning use restrictions, data ingestion rules, DMCA procedure, and responsible disclosure of security vulnerabilities. --- The eyko Acceptable Use Policy (AUP) is incorporated by reference into the customer Agreement and applies to all Authorized Users of the eyko Service. A violation of the AUP is a breach of the Agreement. eyko may suspend or terminate access, remove offending material, and report unlawful activity to authorities. The current version is always available at https://eyko.ai/aup. Material changes take effect at least 30 days after notice. ## What the AUP covers - General compliance with applicable law and the Agreement. - Prohibited activities: competitive use and reverse engineering, service abuse and interference, account and identity misuse, and content that infringes third-party rights. - AI and machine learning use restrictions, including prompt injection and model extraction, generation of unlawful content, high-risk applications, fully automated decisions about individuals, required AI-disclosure obligations, training of competing AI systems, and reliance on probabilistic outputs. - Data ingestion restrictions, including right to provide data, Restricted Data Categories (sensitive personal information, PHI, cardholder data, biometric identifiers, government IDs, children's data), reasonable usage thresholds, no malicious uploads, and export and sanctions compliance. - Output and user interface use restrictions, including sharing within Authorized Users, public marketing restrictions, no false representation of outputs, and preservation of proprietary notices. - Communications-related misuse, covering unsolicited bulk communications under CAN-SPAM, TCPA, and TSR, phishing, spam-facilitating pages, and fraudulent communications. - Intellectual property and DMCA notices, including the designated agent procedure under 17 U.S.C. § 512, counter-notice procedure, and repeat infringer policy. - Responsible disclosure of security vulnerabilities, including authorized testing scope, no public disclosure before remediation, and a safe-harbor commitment for good-faith research. - Reporting violations, enforcement remedies, indemnification, no waiver and cumulative remedies, updates to the AUP, and contact information. ## Key contacts - General questions and violation reports: legal@eyko.ai - Security incidents and vulnerability reports: security@eyko.ai - DMCA Designated Agent: legal@eyko.ai / eyko, Inc., Attn: DMCA Agent, 7 W. Figueroa St., Suite 200-300, Santa Barbara, CA 93101. ## Related documents - Terms of Service: https://eyko.ai/legal/ - Privacy Notice: https://eyko.ai/privacy/ - Security Center: https://eyko.ai/security/ - Trust Center: https://trust.eyko.ai --- --- title: Which accounts are ready to grow if you ask? url: https://eyko.ai/ideas/account-expansion-scoring/ description: Score every customer account on expansion likelihood and size the opportunity. AI Playbooks rank accounts ready for upsell and cross-sell now. --- # Which accounts are ready to grow if you ask? Score every customer account on expansion likelihood and size the opportunity. AI Playbooks rank accounts ready for upsell and cross-sell now. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored on near-term expansion likelihood. 412 high-likelihood accounts identified ($8.4M projected expansion ARR over next 2 quarters). 184 high-likelihood accounts not currently in expansion pipeline. 84 mid-likelihood accounts liftable to high-likelihood with targeted nurture. Pipeline coverage gap projects $3.6M in uncalled expansion opportunity. ## FAQ See the page at https://eyko.ai/ideas/account-expansion-scoring/ for frequently asked questions about this analysis. --- --- title: Which accounts deserve the most of your sales attention? url: https://eyko.ai/ideas/account-prioritization/ description: Prioritize accounts by deal potential, fit, and engagement signals to focus sales attention where it converts. AI Playbooks rank target accounts. --- # Which accounts deserve the most of your sales attention? Prioritize accounts by deal potential, fit, and engagement signals to focus sales attention where it converts. AI Playbooks rank target accounts. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8,400 target accounts scored. 480 high-priority accounts identified ($24M projected pipeline). 184 are currently mis-tiered by firmographic scoring (sit in lower tiers despite high engagement and fit). 320 currently-top-tier accounts show low engagement and low projected conversion. Territory rebalance projects a 1.8x lift in close rate on the realigned base. ## FAQ See the page at https://eyko.ai/ideas/account-prioritization/ for frequently asked questions about this analysis. --- --- title: Which acquisition channels bring customers worth keeping? url: https://eyko.ai/ideas/acquisition-channel-optimization/ description: Identify which acquisition channels deliver customers with the highest lifetime value and lowest churn. AI Playbooks rank by retained revenue. --- # Which acquisition channels bring customers worth keeping? Identify which acquisition channels deliver customers with the highest lifetime value and lowest churn. AI Playbooks rank by retained revenue. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 acquisition channels scored on retained revenue per dollar spent. 3 channels deliver below 0.4x, 2 channels deliver above 3x. The lowest-retention channel currently absorbs 22% of the marketing budget. Reallocating $480K from underperformers to the top 2 channels projects $1.6M in additional retained revenue over 12 months. ## FAQ See the page at https://eyko.ai/ideas/acquisition-channel-optimization/ for frequently asked questions about this analysis. --- --- title: Which sales activities actually correlate with closed deals? url: https://eyko.ai/ideas/activity-outcome-correlation/ description: Correlate sales activities to deal outcomes to identify which actions actually move the close rate. AI Playbooks separate signal from theater. --- # Which sales activities actually correlate with closed deals? Correlate sales activities to deal outcomes to identify which actions actually move the close rate. AI Playbooks separate signal from theater. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of activity data across 84 reps and 1,840 closed deals analyzed. 4 activity types correlate strongly with win rate at specific deal stages. Strongest pattern: multi-stakeholder meeting between stages 2-3 lifts close rate by 32 percentage points. Top-quartile reps run it on 84% of deals; bottom-quartile reps run it on 22%. Closing this gap projects a 14-point team-level close-rate lift. ## FAQ See the page at https://eyko.ai/ideas/activity-outcome-correlation/ for frequently asked questions about this analysis. --- --- title: Which customers can no longer afford your offer? url: https://eyko.ai/ideas/affordability-segment-migration/ description: Detect when customers move between affordability tiers so you can adjust offers and messaging before they downgrade or churn. --- # Which customers can no longer afford your offer? Detect when customers move between affordability tiers so you can adjust offers and messaging before they downgrade or churn. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184 customers migrated to a lower affordability tier in the past 60 days, representing $940K in annualized revenue at risk. 42 migrated up, currently invisible to the standard segmentation. Migrations concentrate in 3 rate-exposed industries. Tier-matched retention motions project $620K in preserved revenue over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/affordability-segment-migration/ for frequently asked questions about this analysis. --- --- title: What patterns are hiding in your customer base? url: https://eyko.ai/ideas/behavioral-clustering/ description: Group customers by behavior patterns to reveal distinct segments that respond differently to engagement tactics. AI Playbooks surface clusters. --- # What patterns are hiding in your customer base? Group customers by behavior patterns to reveal distinct segments that respond differently to engagement tactics. AI Playbooks surface clusters. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 7 behavioral clusters identified across the customer base. 3 cross-cut firmographic segments, including a power-user cluster spanning enterprise and mid-market worth $4.2M in addressable expansion. Feature breadth, engagement cadence, and expansion behavior explain 78% of retention variance. Rebuilding campaign segmentation around clusters projects a 22% lift in response. ## FAQ See the page at https://eyko.ai/ideas/behavioral-clustering/ for frequently asked questions about this analysis. --- --- title: When did your next deal start signaling intent? url: https://eyko.ai/ideas/buying-signal-detection/ description: Recognize buying signals across web, content, intent feeds, and product activity in real time. AI Playbooks route signals to the right rep. --- # When did your next deal start signaling intent? Recognize buying signals across web, content, intent feeds, and product activity in real time. AI Playbooks route signals to the right rep. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 220,000 sessions and 14,000 known leads scored in the past quarter. 1,840 high-intent moments detected: 740 from in-pipeline leads, 620 from previously dismissed cold leads, 480 from anonymous sessions. Team currently acts on 32% within 24 hours. Improving intent routing SLA to 15 minutes projects a 2.8x lift in intent-driven conversion. ## FAQ See the page at https://eyko.ai/ideas/buying-signal-detection/ for frequently asked questions about this analysis. --- --- title: Where is your supply chain carrying its biggest emissions cost? url: https://eyko.ai/ideas/carbon-footprint-optimization/ description: Reduce supply chain carbon footprint by identifying the highest-emission segments and routing alternatives. AI Playbooks model emission tradeoffs. --- # Where is your supply chain carrying its biggest emissions cost? Reduce supply chain carbon footprint by identifying the highest-emission segments and routing alternatives. AI Playbooks model emission tradeoffs. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184 suppliers and 12,400 inbound shipments analyzed across the past year. Scope 3 transport emissions 38% above corporate target. Top 12 routes account for 64% of the gap; 7 have lower-emission alternatives within a 6% cost band. Shifting routes and consolidating top lanes projects an 18% emissions cut with cost neutral over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/carbon-footprint-optimization/ for frequently asked questions about this analysis. --- --- title: Who is actually championing your deal inside the account? url: https://eyko.ai/ideas/champion-identification/ description: Identify the real internal champion on every deal based on activity, influence, and decision-making patterns. AI Playbooks score champion strength. --- # Who is actually championing your deal inside the account? Identify the real internal champion on every deal based on activity, influence, and decision-making patterns. AI Playbooks score champion strength. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 active pipeline deals scored. Strong champion on 84 deals, moderate on 96, no real champion on 60 ($4.8M pipeline value). 38 no-champion deals are forecast to close next quarter without targeted champion-building. Internal content forwarding correlates 0.74 with close; activity volume alone correlates only 0.22. ## FAQ See the page at https://eyko.ai/ideas/champion-identification/ for frequently asked questions about this analysis. --- --- title: Are you reaching customers where they actually respond? url: https://eyko.ai/ideas/channel-preference-prediction/ description: Predict each customer's preferred communication channel to maximize engagement and response rates. AI Playbooks rank channels per account. --- # Are you reaching customers where they actually respond? Predict each customer's preferred communication channel to maximize engagement and response rates. AI Playbooks rank channels per account. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active accounts scored across 5 channels. 38% of the base responds at materially higher rates on a channel other than email. Current outreach matches the preferred channel on only 41% of accounts. Realigning flows to channel preference projects a 28% response-rate lift across active campaigns over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/channel-preference-prediction/ for frequently asked questions about this analysis. --- --- title: How much revenue is your churn actually costing you next quarter? url: https://eyko.ai/ideas/churn-revenue-impact/ description: Size the revenue impact of churn by segment, cohort, and product before it lands in the forecast. AI Playbooks quantify the at-risk dollars. --- # How much revenue is your churn actually costing you next quarter? Size the revenue impact of churn by segment, cohort, and product before it lands in the forecast. AI Playbooks quantify the at-risk dollars. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active customers scored. $8.4M total projected revenue impact from churn over next 2 quarters. Direct ARR loss $5.2M, downstream impact $3.2M. Top 24 at-risk accounts carry 62% of total exposure. Focusing 80% of retention capacity on the top-24 cohort projects $4.2M in protected revenue. ## FAQ See the page at https://eyko.ai/ideas/churn-revenue-impact/ for frequently asked questions about this analysis. --- --- title: Where could waste become a second revenue stream? url: https://eyko.ai/ideas/circular-economy-opportunity-detection/ description: Identify reuse, refurbishment, and recycling opportunities across the supply chain that cut cost and material throughput. AI Playbooks map circulars. --- # Where could waste become a second revenue stream? Identify reuse, refurbishment, and recycling opportunities across the supply chain that cut cost and material throughput. AI Playbooks map circulars. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of returns, scrap, and end-of-life data scanned across 18 product categories. 4 categories carry circular opportunities above $1.2M annualized. Refurb-grade returns represent $2.4M currently going to disposal. Scrap-to-input routing from line A to line B replaces $640K in virgin material. Total recoverable value across moves: $5.8M annualized. ## FAQ See the page at https://eyko.ai/ideas/circular-economy-opportunity-detection/ for frequently asked questions about this analysis. --- --- title: How will this quarter's cohort behave next year? url: https://eyko.ai/ideas/cohort-behavior-prediction/ description: Forecast how customer cohorts will behave over time based on onboarding, usage, and engagement patterns. AI Playbooks predict cohort trajectories. --- # How will this quarter's cohort behave next year? Forecast how customer cohorts will behave over time based on onboarding, usage, and engagement patterns. AI Playbooks predict cohort trajectories. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Q1 cohort projected to retain at 86% over 12 months, 4 points below trailing-cohort average. Expansion velocity 22% below prior baseline. 3 onboarding signals correlate with the weaker forecast at >80% confidence. Adjusting the motion on the affected segments projects a 3-point retention lift, worth $1.1M in preserved ARR. ## FAQ See the page at https://eyko.ai/ideas/cohort-behavior-prediction/ for frequently asked questions about this analysis. --- --- title: Which parts of your commission plan are actually driving the right behavior? url: https://eyko.ai/ideas/commission-optimization/ description: Optimize commission plans by modeling rep behavior, accelerators, and SPIFs against revenue outcomes. AI Playbooks rank plan design moves. --- # Which parts of your commission plan are actually driving the right behavior? Optimize commission plans by modeling rep behavior, accelerators, and SPIFs against revenue outcomes. AI Playbooks rank plan design moves. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 months of comp data across 84 reps and 1,840 deals analyzed. Q3 accelerator delivers $2.4M lift on $1.8M cost (positive ROI). 2 of 4 quarterly SPIFs deliver no lift, representing $480K in spend without behavior change. New-logo SPIF correlates strongest with junior-rep response. Targeted plan refinements project $480K in saved commission with no revenue loss. ## FAQ See the page at https://eyko.ai/ideas/commission-optimization/ for frequently asked questions about this analysis. --- --- title: Which competitor customers are signaling they want out? url: https://eyko.ai/ideas/competitive-displacement-detection/ description: Detect competitor-customer dissatisfaction signals and identify accounts ready to switch. AI Playbooks rank displacement opportunities. --- # Which competitor customers are signaling they want out? Detect competitor-customer dissatisfaction signals and identify accounts ready to switch. AI Playbooks rank displacement opportunities. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 competitor-customer accounts scored. 184 show elevated displacement readiness, 38 top-fit ICP matches. Total addressable opportunity: $42M in projected ARR if 10% of the cohort converts. Public dissatisfaction signals + renewal-window proximity drive the readiness score. Targeted outreach projects 3.4x lift in displacement conversion vs baseline. ## FAQ See the page at https://eyko.ai/ideas/competitive-displacement-detection/ for frequently asked questions about this analysis. --- --- title: Are you priced right for the deal in front of you? url: https://eyko.ai/ideas/competitive-price-positioning/ description: Position pricing against competitors across deal contexts, segments, and product mix. AI Playbooks surface the right price posture per deal. --- # Are you priced right for the deal in front of you? Position pricing against competitors across deal contexts, segments, and product mix. AI Playbooks surface the right price posture per deal. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored. 84 deals show price-posture misalignment: 38 priced too conservatively against weak competitors ($1.4M margin opportunity), 46 priced too aggressively against incumbents (unnecessary discount). Recalibrating the 84 deals projects $1.4M incremental margin captured without close-rate loss. ## FAQ See the page at https://eyko.ai/ideas/competitive-price-positioning/ for frequently asked questions about this analysis. --- --- title: Where does your tariff posture beat the competitor on the same deal? url: https://eyko.ai/ideas/competitive-tariff-advantage/ description: Identify deals where your tariff exposure is lower than the competitor and use it as a closing edge. AI Playbooks surface tariff-advantage deals. --- # Where does your tariff posture beat the competitor on the same deal? Identify deals where your tariff exposure is lower than the competitor and use it as a closing edge. AI Playbooks surface tariff-advantage deals. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 380 deals where tariff exposure is material to landed cost scored. 142 show measurable advantage over the competitor; 38 have advantage above 12 points. Total annualized impact: $6.8M from closing on tariff advantage. Competitor sourcing concentration in exposed countries drives 54% of the advantage signal. ## FAQ See the page at https://eyko.ai/ideas/competitive-tariff-advantage/ for frequently asked questions about this analysis. --- --- title: What complaints are quietly repeating across channels? url: https://eyko.ai/ideas/complaint-pattern-recognition/ description: Detect recurring complaint themes across channels to surface systemic product and service issues before they escalate. AI Playbooks find patterns. --- # What complaints are quietly repeating across channels? Detect recurring complaint themes across channels to surface systemic product and service issues before they escalate. AI Playbooks find patterns. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 23 recurring complaint clusters identified across 5 channels in the past quarter. Top cluster spans 412 complaints, traces to one billing edge case. Two product clusters represent 18% of total complaint volume but only 4% of current tags. Fixing the top 3 clusters projects a 31% reduction in support volume over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/complaint-pattern-recognition/ for frequently asked questions about this analysis. --- --- title: Which renewals will close, expand, or churn next quarter? url: https://eyko.ai/ideas/contract-renewal-forecasting/ description: Forecast renewal probability and revenue per account months before the renewal date. AI Playbooks surface at-risk renewals with time to act. --- # Which renewals will close, expand, or churn next quarter? Forecast renewal probability and revenue per account months before the renewal date. AI Playbooks surface at-risk renewals with time to act. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 142 renewals due in the next 6 months. 18 flagged at elevated churn risk ($2.8M ARR), 24 show expansion signals ($1.6M incremental ARR). Current pipeline forecast undercalls churn by 11 accounts and misses 16 expansion-ready accounts. Re-baselined forecast projects $4.4M in actionable revenue movement over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/contract-renewal-forecasting/ for frequently asked questions about this analysis. --- --- title: What is each deal in your pipeline really worth? url: https://eyko.ai/ideas/contract-value-prediction/ description: Predict the final contract value of every active deal based on segment, fit, and configuration patterns. AI Playbooks size opportunity accurately. --- # What is each deal in your pipeline really worth? Predict the final contract value of every active deal based on segment, fit, and configuration patterns. AI Playbooks size opportunity accurately. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored. 184 show material divergence between recorded and forecast value. 84 expansion-pattern deals understate pipeline by $4.8M; 100 de-scope-pattern deals overstate by $2.4M. Net pipeline understatement: $2.4M. Scope-up conversations on expansion-pattern deals project $2.0M in captured incremental value. ## FAQ See the page at https://eyko.ai/ideas/contract-value-prediction/ for frequently asked questions about this analysis. --- --- title: Which customers have quietly become a credit risk? url: https://eyko.ai/ideas/credit-risk-re-scoring/ description: Reassess customer payment risk continuously as macro conditions shift their borrowing capacity. AI Playbooks flag deteriorating credit early. --- # Which customers have quietly become a credit risk? Reassess customer payment risk continuously as macro conditions shift their borrowing capacity. AI Playbooks flag deteriorating credit early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active customers re-scored. 87 flagged with deteriorating credit profiles representing $1.4M in exposure, 23 of which match the pre-default profile before payment slippage. 14 customers improved materially, supporting term extensions. Adjusting terms in line with re-scored risk projects $620K in avoided bad debt over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/credit-risk-re-scoring/ for frequently asked questions about this analysis. --- --- title: Which customers are ready for their next product? url: https://eyko.ai/ideas/cross-sell-recommendations/ description: Surface the next product each customer is most ready to buy based on usage patterns and behavioral fit. AI Playbooks rank cross-sell opportunities. --- # Which customers are ready for their next product? Surface the next product each customer is most ready to buy based on usage patterns and behavioral fit. AI Playbooks rank cross-sell opportunities. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 3,840 active customers scored across 8 cross-sell products. 24% of the base shows a strong-fit cross-sell signal worth a projected $5.2M in incremental ARR. 156 accounts match the historical pre-purchase pattern across all three top signals. Replacing the eligibility-based campaign with ranked recommendations projects a 2.4x lift in cross-sell close rate. ## FAQ See the page at https://eyko.ai/ideas/cross-sell-recommendations/ for frequently asked questions about this analysis. --- --- title: How many of your customers exist in your data twice? url: https://eyko.ai/ideas/customer-360-reconciliation/ description: Reconcile customer records across CRM, billing, support, and product into a single trusted view. AI Playbooks identify and merge duplicates. --- # How many of your customers exist in your data twice? Reconcile customer records across CRM, billing, support, and product into a single trusted view. AI Playbooks identify and merge duplicates. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18,400 customer records reconciled across 4 systems into 14,200 unique customers. 2,840 duplicates auto-resolved at high confidence, 1,360 require human decision on conflicting fields. Pre-reconciliation customer count was 30% inflated. Master record propagation projects a 22% improvement in marketing campaign deliverability and accurate per-customer revenue reporting. ## FAQ See the page at https://eyko.ai/ideas/customer-360-reconciliation/ for frequently asked questions about this analysis. --- --- title: What is your real CAC going to be on the next cohort? url: https://eyko.ai/ideas/customer-acquisition-cost-prediction/ description: Forecast CAC by channel, segment, and cohort before the spend lands. AI Playbooks rank acquisition motions by projected CAC efficiency. --- # What is your real CAC going to be on the next cohort? Forecast CAC by channel, segment, and cohort before the spend lands. AI Playbooks rank acquisition motions by projected CAC efficiency. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 channel-segment combinations forecast for next quarter. Blended CAC projects from $4,200 to $5,100 if allocation continues unchanged. Outbound-enterprise CAC climbed from $9,400 to $12,800; paid-search-SMB held at $1,800. Reallocating 30% of outbound-enterprise budget projects $3,600 blended CAC on same total spend. ## FAQ See the page at https://eyko.ai/ideas/customer-acquisition-cost-prediction/ for frequently asked questions about this analysis. --- --- title: Which customers would say yes if you asked for a reference? url: https://eyko.ai/ideas/customer-advocacy-scoring/ description: Identify your strongest customer advocates based on behavior, sentiment, and influence. AI Playbooks rank candidates for reference and referral programs. --- # Which customers would say yes if you asked for a reference? Identify your strongest customer advocates based on behavior, sentiment, and influence. AI Playbooks rank candidates for reference and referral programs. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 customers scored across 5 advocacy activity types. 380 customers in the high-readiness pool, 240 of whom have never been asked, representing 3x the size of the current go-to list. 42 customers show strong analyst-event fit. Expanding the active advocate pool projects a 2.6x lift in reference call availability and a 38% reduction in advocate fatigue. ## FAQ See the page at https://eyko.ai/ideas/customer-advocacy-scoring/ for frequently asked questions about this analysis. --- --- title: Where are customers working too hard to use your product? url: https://eyko.ai/ideas/customer-effort-scoring/ description: Measure the effort customers expend to get value or resolve issues across the journey. AI Playbooks score friction and rank fixes. --- # Where are customers working too hard to use your product? Measure the effort customers expend to get value or resolve issues across the journey. AI Playbooks score friction and rank fixes. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6,800 active customers scored across 12 critical workflows. 3 workflows above the elevated-churn-risk effort threshold. Data import workflow averages 4.2 retry events and 1.8 support contacts per completion. 1,840 customers concentrated in the high-effort cohort representing $3.6M ARR. Fixing the top 3 workflows projects $1.1M in retained ARR over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/customer-effort-scoring/ for frequently asked questions about this analysis. --- --- title: What will your customers need before they ask? url: https://eyko.ai/ideas/customer-needs-forecasting/ description: Anticipate what each customer will need next based on usage trajectories and lifecycle signals. AI Playbooks forecast demand before the ask arrives. --- # What will your customers need before they ask? Anticipate what each customer will need next based on usage trajectories and lifecycle signals. AI Playbooks forecast demand before the ask arrives. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Next 90 days of needs forecast across 4,200 customers. 412 accounts show seat-expansion signals, 268 need integration enablement, 184 show ramp-maturity motion-change signals. Top 100 forecasted needs represent $2.4M in addressable revenue. Proactive motions on the high-confidence cohort project a 32% lift in expansion close rate and a 24% reduction in reactive support volume. ## FAQ See the page at https://eyko.ai/ideas/customer-needs-forecasting/ for frequently asked questions about this analysis. --- --- title: Which customers carry risk you have not named yet? url: https://eyko.ai/ideas/customer-risk-scoring/ description: Score every customer across credit, churn, and compliance dimensions in a single view. AI Playbooks surface composite risk with named drivers. --- # Which customers carry risk you have not named yet? Score every customer across credit, churn, and compliance dimensions in a single view. AI Playbooks surface composite risk with named drivers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 customers scored across credit, churn, and compliance. 142 in the high-composite-risk decile ($4.8M ARR), 38 carrying elevated risk on all three dimensions simultaneously. Composite score reorders the top-50 watch list materially. Coordinated cross-functional motions on the multi-dimensional accounts project $1.6M in mitigated exposure over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/customer-risk-scoring/ for frequently asked questions about this analysis. --- --- title: How long is each deal in your pipeline actually going to take? url: https://eyko.ai/ideas/deal-velocity-prediction/ description: Predict how long each active deal will take to close based on stage timing, activity, and similar-deal patterns. AI Playbooks flag slipping deals. --- # How long is each deal in your pipeline actually going to take? Predict how long each active deal will take to close based on stage timing, activity, and similar-deal patterns. AI Playbooks flag slipping deals. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored. 142 tracking on velocity, 84 slower than expected, 38 forecasted to close this quarter at slip risk ($4.2M at risk). Targeted intervention projects 24 saves through restored stakeholder coverage and meeting cadence on the slower cohort. ## FAQ See the page at https://eyko.ai/ideas/deal-velocity-prediction/ for frequently asked questions about this analysis. --- --- title: Which deals in your pipeline are actually going to close? url: https://eyko.ai/ideas/deal-win-probability/ description: Score every active deal on probability of closing using deal context, behavior signals, and historical patterns. AI Playbooks rank deals by likelihood. --- # Which deals in your pipeline are actually going to close? Score every active deal on probability of closing using deal context, behavior signals, and historical patterns. AI Playbooks rank deals by likelihood. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored. 184 show material divergence between rep call and Playbook: 84 reps over-forecasting, 100 reps under-forecasting. Net pipeline overstatement: $2.4M. Historical calibration is strong: deals scoring 70% close at 71%. Targeted deal reviews project a 22% improvement in forecast accuracy. ## FAQ See the page at https://eyko.ai/ideas/deal-win-probability/ for frequently asked questions about this analysis. --- --- title: Do you have the right people on every deal? url: https://eyko.ai/ideas/decision-maker-mapping/ description: Map decision makers, influencers, and blockers per deal using behavior and authority signals. AI Playbooks surface gaps in stakeholder coverage. --- # Do you have the right people on every deal? Map decision makers, influencers, and blockers per deal using behavior and authority signals. AI Playbooks surface gaps in stakeholder coverage. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 active enterprise deals mapped. 84 show material stakeholder gaps: 38 decision-maker gaps, 26 blocker gaps, 20 influence-network gaps. Closing the gaps projects a 22-point lift in close rate on the affected cohort. Driver: 54% of decision-maker gaps are technical evaluators mistaken for decision makers. ## FAQ See the page at https://eyko.ai/ideas/decision-maker-mapping/ for frequently asked questions about this analysis. --- --- title: Which demand signals just changed when you were not looking? url: https://eyko.ai/ideas/demand-anomaly-detection/ description: Spot unusual demand patterns that signal emerging trends or issues across SKUs, regions, and customers. AI Playbooks flag the shift early. --- # Which demand signals just changed when you were not looking? Spot unusual demand patterns that signal emerging trends or issues across SKUs, regions, and customers. AI Playbooks flag the shift early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184 demand anomalies detected across 4,200 SKUs and 28 regions in the past 30 days. 38 classified as trend shifts ($2.4M projected impact), 64 as promotion effects, 42 as competitor or channel disruptions, 24 as data quality issues. Classifying anomalies at detection projects a 32% reduction in surprise stockouts and excess inventory over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/demand-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Which products move together when one of them moves? url: https://eyko.ai/ideas/demand-correlation-detection/ description: Identify the demand correlations that connect SKUs, customers, and segments so forecasting and inventory planning account for the linkages. --- # Which products move together when one of them moves? Identify the demand correlations that connect SKUs, customers, and segments so forecasting and inventory planning account for the linkages. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs analyzed across 18 months. 380 correlation pairs identified at statistical significance: 142 complementary, 96 substitution, 86 upstream-downstream, 56 cross-segment. Strongest upstream-downstream pair predicts secondary SKU demand 4 weeks in advance at 78% confidence. Integrating the top 50 pairs projects a 12-point forecast accuracy lift on the linked SKUs. ## FAQ See the page at https://eyko.ai/ideas/demand-correlation-detection/ for frequently asked questions about this analysis. --- --- title: How will demand actually move when you change the price? url: https://eyko.ai/ideas/demand-elasticity-modeling/ description: Model how customer demand responds to price, discount, and feature changes across segments. AI Playbooks forecast elasticity per cohort. --- # How will demand actually move when you change the price? Model how customer demand responds to price, discount, and feature changes across segments. AI Playbooks forecast elasticity per cohort. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Elasticity estimated across 8 segments and 5 plan tiers using 18 months of historical pricing data. Enterprise elasticity -0.4 (inelastic), mid-market -1.1 (unit elastic), SMB -1.8 (elastic). Calibrated price moves project $1.8M incremental ARR with negligible volume impact in inelastic segments and improved average deal size in elastic segments. ## FAQ See the page at https://eyko.ai/ideas/demand-elasticity-modeling/ for frequently asked questions about this analysis. --- --- title: What will your customers click, browse, or skip next? url: https://eyko.ai/ideas/digital-behavior-prediction/ description: Predict the next digital action each customer is most likely to take across web, app, and product surfaces. AI Playbooks anticipate intent. --- # What will your customers click, browse, or skip next? Predict the next digital action each customer is most likely to take across web, app, and product surfaces. AI Playbooks anticipate intent. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184,000 sessions scored across the past quarter. 12 distinct behavior patterns precede high-value conversion. Strongest pattern (8 sequenced actions) precedes a paid signup in 64% of cases. Current personalization rules match only 22% of visitors exhibiting the pattern. Rebuilding rules around sequenced behavior projects a 2.4x lift in conversion on matched visitors. ## FAQ See the page at https://eyko.ai/ideas/digital-behavior-prediction/ for frequently asked questions about this analysis. --- --- title: Does your discounting actually win the deal? url: https://eyko.ai/ideas/discount-impact-modeling/ description: Model how discount levels actually affect close rate and margin per segment and deal context. AI Playbooks set guardrails grounded in evidence. --- # Does your discounting actually win the deal? Model how discount levels actually affect close rate and margin per segment and deal context. AI Playbooks set guardrails grounded in evidence. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 months of discount-and-outcome data across 1,840 deals analyzed. Enterprise close-rate flattens above 16% discount; current cap at 22% produces no incremental lift. SMB close-rate continues climbing through 14% discount; current cohort averages 4%. Tightening enterprise and loosening SMB projects $2.8M in incremental margin without close-rate loss. ## FAQ See the page at https://eyko.ai/ideas/discount-impact-modeling/ for frequently asked questions about this analysis. --- --- title: Is the right inventory sitting at the right DC for the right demand? url: https://eyko.ai/ideas/distribution-center-allocation/ description: Optimize SKU allocation across distribution centers based on demand geography, lead time, and cost. AI Playbooks rebalance inventory placement. --- # Is the right inventory sitting at the right DC for the right demand? Optimize SKU allocation across distribution centers based on demand geography, lead time, and cost. AI Playbooks rebalance inventory placement. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 DCs and 4,200 SKUs analyzed across 12 months. 384 SKUs misallocated, $1.4M annualized outbound cost above optimal. Top 50 misallocations account for $640K. Rebalancing the top 50 projects an 18% ship-from-distance improvement and $480K in annualized outbound cost savings over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/distribution-center-allocation/ for frequently asked questions about this analysis. --- --- title: Which customers are engaged enough to grow, and which are drifting? url: https://eyko.ai/ideas/engagement-scoring/ description: Score customer engagement across product, support, and marketing touchpoints to identify advocates and at-risk accounts. AI Playbooks rank engagement. --- # Which customers are engaged enough to grow, and which are drifting? Score customer engagement across product, support, and marketing touchpoints to identify advocates and at-risk accounts. AI Playbooks rank engagement. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored across 5 engagement surfaces. 380 in high-engagement decile (advocacy and expansion candidates), 240 drifting (declining on 2+ surfaces), 142 low-engagement ($2.6M ARR at risk). Product depth correlates 0.71 with retention; marketing email correlates only 0.18. Re-engagement motions on the drifting cohort project $1.2M in retained ARR. ## FAQ See the page at https://eyko.ai/ideas/engagement-scoring/ for frequently asked questions about this analysis. --- --- title: Which enterprise deals actually need senior coverage? url: https://eyko.ai/ideas/enterprise-deal-complexity-scoring/ description: Score enterprise deal complexity to allocate capacity and surface deals needing senior coverage. AI Playbooks rank deals by difficulty drivers. --- # Which enterprise deals actually need senior coverage? Score enterprise deal complexity to allocate capacity and surface deals needing senior coverage. AI Playbooks rank deals by difficulty drivers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 active enterprise deals scored. 84 high-complexity, 96 mid-complexity, 60 low-complexity. 38 high-complexity deals currently with junior reps ($5.2M pipeline at risk). Senior reallocation projects a 28-point close-rate lift on the affected cohort. ## FAQ See the page at https://eyko.ai/ideas/enterprise-deal-complexity-scoring/ for frequently asked questions about this analysis. --- --- title: How much expansion revenue will actually land next quarter? url: https://eyko.ai/ideas/expansion-revenue-forecasting/ description: Forecast expansion revenue per account and per segment over the next quarters. AI Playbooks size the addressable expansion opportunity. --- # How much expansion revenue will actually land next quarter? Forecast expansion revenue per account and per segment over the next quarters. AI Playbooks size the addressable expansion opportunity. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers forecast over next 2 quarters. Evidence-based: $14.2M expansion ARR. Account-team aspirational: $22.8M. Gap: $8.6M of optimism. Drivers: 38% aspiration without signal, 32% timing misalignment, 18% pipeline-state mismatch. Recalibration projects forecast accuracy lift of 22 points. ## FAQ See the page at https://eyko.ai/ideas/expansion-revenue-forecasting/ for frequently asked questions about this analysis. --- --- title: Which customers have changed how they use the product? url: https://eyko.ai/ideas/feature-usage-anomaly-detection/ description: Detect unusual shifts in customer feature usage that precede churn, expansion, or product issues. AI Playbooks flag anomalies with context. --- # Which customers have changed how they use the product? Detect unusual shifts in customer feature usage that precede churn, expansion, or product issues. AI Playbooks flag anomalies with context. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 312 usage anomalies detected across 4,200 customers in the past 30 days. 84 classified as elevated churn risk ($1.8M ARR), 64 as expansion signals, 24 traced to a recent product release that broke a workflow. Routing each anomaly with the classification and contextualizing pattern projects a 28% reduction in surprise churn losses over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/feature-usage-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Where will the next fulfillment slowdown happen? url: https://eyko.ai/ideas/fulfillment-bottleneck-prediction/ description: Predict fulfillment bottlenecks across pick, pack, ship, and last mile before they back up the queue. AI Playbooks flag throughput risk early. --- # Where will the next fulfillment slowdown happen? Predict fulfillment bottlenecks across pick, pack, ship, and last mile before they back up the queue. AI Playbooks flag throughput risk early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Next 72 hours of fulfillment throughput forecast across 4 stages. Pack stage projected to bottleneck on day 2 with 18% capacity gap. Last-mile region B tightens on day 3 due to carrier weather event. Without intervention, 1,840 orders project to ship late. FTE shifts and pre-routing adjustments project zero late shipments through the forecast window. ## FAQ See the page at https://eyko.ai/ideas/fulfillment-bottleneck-prediction/ for frequently asked questions about this analysis. --- --- title: How exposed is your supply chain to the next geopolitical shock? url: https://eyko.ai/ideas/geopolitical-supply-chain-scoring/ description: Score supply chain exposure to geopolitical risk across countries, lanes, and suppliers. AI Playbooks flag the exposure before it disrupts supply. --- # How exposed is your supply chain to the next geopolitical shock? Score supply chain exposure to geopolitical risk across countries, lanes, and suppliers. AI Playbooks flag the exposure before it disrupts supply. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184 suppliers and 4,200 parts scored across 18 country exposures. 38 parts carry single-source dependencies in elevated-risk countries ($14M annual spend, 4 product lines exposed). Top 12 risk-weighted dependencies account for 64% of total exposure and are diversifiable within 4 to 6 quarters. Diversification projects $9M in exposure reduction. ## FAQ See the page at https://eyko.ai/ideas/geopolitical-supply-chain-scoring/ for frequently asked questions about this analysis. --- --- title: Which inbound loads are about to slip? url: https://eyko.ai/ideas/inbound-shipment-risk/ description: Predict delays and disruptions in inbound shipments before they cascade into stockouts. AI Playbooks flag at-risk loads with time to act. --- # Which inbound loads are about to slip? Predict delays and disruptions in inbound shipments before they cascade into stockouts. AI Playbooks flag at-risk loads with time to act. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 inbound shipments scored. 142 at elevated delay risk, 38 with severe downstream impact (production stall or stockout risk). Procurement dashboard currently shows only 24 of 142 as late. Predictive flagging delivers 12 to 72 hours of additional lead time on response. Expediting and alternate-source actions project a 64% reduction in inbound-driven stockouts. ## FAQ See the page at https://eyko.ai/ideas/inbound-shipment-risk/ for frequently asked questions about this analysis. --- --- title: Who actually decides inside your largest accounts? url: https://eyko.ai/ideas/influence-network-mapping/ description: Identify the stakeholders who actually drive decisions inside customer accounts beyond the titled buyer. AI Playbooks map influence networks. --- # Who actually decides inside your largest accounts? Identify the stakeholders who actually drive decisions inside customer accounts beyond the titled buyer. AI Playbooks map influence networks. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 280 top accounts mapped, 1,840 stakeholders identified. 38% were not in CRM as named contacts, 142 quiet influencers surfaced with high decision involvement but no formal authority title. 24 accounts show recent influence shifts where the prior decision-maker is no longer in the network. Refreshed influence maps project a 22% lift in renewal close rate on contested renewals. ## FAQ See the page at https://eyko.ai/ideas/influence-network-mapping/ for frequently asked questions about this analysis. --- --- title: Which prospects just signaled they are ready to buy? url: https://eyko.ai/ideas/intent-detection/ description: Identify the moment a visitor or customer signals buying intent and surface it to revenue teams in real time. AI Playbooks score intent live. --- # Which prospects just signaled they are ready to buy? Identify the moment a visitor or customer signals buying intent and surface it to revenue teams in real time. AI Playbooks score intent live. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 220,000 sessions and 14,000 known leads scored in the past quarter. 1,840 high-intent moments detected: 740 from in-pipeline leads, 620 from previously dismissed cold leads, 480 from anonymous sessions. Team currently acts on 32% within 24 hours. Improving intent routing SLA to 15 minutes projects a 2.8x lift in intent-driven conversion. ## FAQ See the page at https://eyko.ai/ideas/intent-detection/ for frequently asked questions about this analysis. --- --- title: Which inventory will you be writing down at year-end? url: https://eyko.ai/ideas/inventory-obsolescence-prediction/ description: Predict which inventory is at risk of obsolescence before it has to be written down. AI Playbooks flag slow movers with months of lead time. --- # Which inventory will you be writing down at year-end? Predict which inventory is at risk of obsolescence before it has to be written down. AI Playbooks flag slow movers with months of lead time. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs scored. 142 flagged at elevated obsolescence risk in the next 6 months ($3.2M projected write-down without action). Top 12 SKUs alone carry $1.4M exposure. Targeted recovery action mix projects $1.8M improvement vs default scrap recovery, with channel transfer and parts harvest carrying the strongest upside on specific SKU subsets. ## FAQ See the page at https://eyko.ai/ideas/inventory-obsolescence-prediction/ for frequently asked questions about this analysis. --- --- title: Which customer journeys actually produce the best outcomes? url: https://eyko.ai/ideas/journey-optimization/ description: Identify customer journey paths that lead to the best outcomes and redesign friction points. AI Playbooks compare paths and recommend changes. --- # Which customer journeys actually produce the best outcomes? Identify customer journey paths that lead to the best outcomes and redesign friction points. AI Playbooks compare paths and recommend changes. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14,200 customer journeys traced across 18 months. 28 distinct paths identified. Top-3 high-outcome paths produce 92% 12-month retention versus 64% on the default path. Only 18% of new customers currently take a high-outcome path. Redesigning onboarding to favor the high-outcome sequence projects an 8 to 11 point retention lift on the new cohort. ## FAQ See the page at https://eyko.ai/ideas/journey-optimization/ for frequently asked questions about this analysis. --- --- title: Which last-mile deliveries are about to miss their promise? url: https://eyko.ai/ideas/last-mile-delivery-prediction/ description: Predict last-mile delivery performance and intervene before late deliveries hit customer experience. AI Playbooks flag at-risk routes early. --- # Which last-mile deliveries are about to miss their promise? Predict last-mile delivery performance and intervene before late deliveries hit customer experience. AI Playbooks flag at-risk routes early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 deliveries scheduled in the next 48 hours scored. 240 at elevated late-delivery risk, 48 in high-value customer segments. Carrier C on-time rate in city B has dropped from 92% to 78% over 4 weeks. Re-routing and carrier-mix adjustments project a 64% reduction in late-delivery customer-experience cost over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/last-mile-delivery-prediction/ for frequently asked questions about this analysis. --- --- title: Is your logistics network still the right shape for the demand? url: https://eyko.ai/ideas/logistics-network-optimization/ description: Optimize the logistics network across DCs, lanes, modes, and carriers to balance cost and service. AI Playbooks model the trade-offs at the flow level. --- # Is your logistics network still the right shape for the demand? Optimize the logistics network across DCs, lanes, modes, and carriers to balance cost and service. AI Playbooks model the trade-offs at the flow level. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of flow data modeled across 4 DCs, 28 carrier-lane combinations, and 6 mode mixes. Current network runs 8% above optimized cost-to-serve baseline at the same service level. Top 5 redesign moves account for 64% of the gap with no facility changes required. Two customer cost-to-serve outliers consume 12% of total logistics spend. ## FAQ See the page at https://eyko.ai/ideas/logistics-network-optimization/ for frequently asked questions about this analysis. --- --- title: Is your loyalty program actually changing customer behavior? url: https://eyko.ai/ideas/loyalty-program-optimization/ description: Optimize loyalty program tier thresholds, rewards, and engagement mechanics. AI Playbooks identify the changes that lift retention and ROI. --- # Is your loyalty program actually changing customer behavior? Optimize loyalty program tier thresholds, rewards, and engagement mechanics. AI Playbooks identify the changes that lift retention and ROI. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240,000 program members analyzed against a behavioral control group. Top-tier rewards produce 4% incremental retention at 11% margin cost (negative ROI); mid-tier rewards produce 18% incremental retention at 6% margin cost (positive ROI). Bronze-tier point rewards produce no measurable behavior change. Restructuring the tier and mechanic mix projects a 38% lift in program ROI. ## FAQ See the page at https://eyko.ai/ideas/loyalty-program-optimization/ for frequently asked questions about this analysis. --- --- title: Is your pipeline calibrated for the macro environment your buyers are in? url: https://eyko.ai/ideas/macro-adjusted-pipeline-scoring/ description: Adjust pipeline scoring for macro conditions (rates, sector pressure, layoffs) so the forecast reflects external reality. AI Playbooks adjust per deal. --- # Is your pipeline calibrated for the macro environment your buyers are in? Adjust pipeline scoring for macro conditions (rates, sector pressure, layoffs) so the forecast reflects external reality. AI Playbooks adjust per deal. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored under current macro. 142 in sectors under elevated rate or layoff pressure. Macro-adjusted quarter forecast: $14.8M (down from $18.2M unadjusted). The $3.4M gap is structural macro pressure, not execution failure, requiring different leadership response than coaching. ## FAQ See the page at https://eyko.ai/ideas/macro-adjusted-pipeline-scoring/ for frequently asked questions about this analysis. --- --- title: Which line is about to stop, and when? url: https://eyko.ai/ideas/manufacturing-downtime-prediction/ description: Predict manufacturing downtime events before they stop the line using sensor, maintenance, and production data. AI Playbooks forecast failure risk. --- # Which line is about to stop, and when? Predict manufacturing downtime events before they stop the line using sensor, maintenance, and production data. AI Playbooks forecast failure risk. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 248 critical assets scored across 6 production lines. 22 at elevated failure risk in the next 60 days, 8 outside the current preventive-maintenance window. 8 of the 22 would stall a line affecting $1.4M in customer commitments. Targeted maintenance scheduling projects an 82% reduction in unplanned downtime hours over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/manufacturing-downtime-prediction/ for frequently asked questions about this analysis. --- --- title: Where is your real market share, and where is the white space? url: https://eyko.ai/ideas/market-share-estimation/ description: Estimate market share per segment, region, and use case using public signals and internal data. AI Playbooks surface white-space opportunities. --- # Where is your real market share, and where is the white space? Estimate market share per segment, region, and use case using public signals and internal data. AI Playbooks surface white-space opportunities. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 28 segment-region-use-case combinations estimated. Overall share: 11% of $1.4B addressable. 6 combinations show share above 18%; 8 show share below 4% with $240M combined addressable. Largest white space: mid-market manufacturing in EMEA (2% share, $84M addressable). ## FAQ See the page at https://eyko.ai/ideas/market-share-estimation/ for frequently asked questions about this analysis. --- --- title: Where is your input cost heading next quarter? url: https://eyko.ai/ideas/material-price-prediction/ description: Forecast material and commodity prices across the supply base to time purchases and hedging decisions. AI Playbooks rank price moves by confidence. --- # Where is your input cost heading next quarter? Forecast material and commodity prices across the supply base to time purchases and hedging decisions. AI Playbooks rank price moves by confidence. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 material categories ($84M annualized spend) forecast across 30, 60, and 90 day windows. 8 categories project price increases above 6% next quarter ($5.4M cost-of-sale exposure). 4 categories project decreases worth $1.8M if purchases time correctly. Forward-buy and hedge actions on the elevated-exposure cohort project $2.4M in cost-of-sale savings. ## FAQ See the page at https://eyko.ai/ideas/material-price-prediction/ for frequently asked questions about this analysis. --- --- title: Which sales meetings are likely to land flat? url: https://eyko.ai/ideas/meeting-outcome-prediction/ description: Predict the outcome of upcoming sales meetings using attendee, content, and prep-signal data. AI Playbooks flag meetings at risk. --- # Which sales meetings are likely to land flat? Predict the outcome of upcoming sales meetings using attendee, content, and prep-signal data. AI Playbooks flag meetings at risk. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 upcoming meetings over next 14 days scored. 84 at elevated risk: 38 attendee mismatches, 24 content-fit gaps, 22 insufficient prep signals. Targeted intervention projects a 28-point improvement in meeting-outcome quality across the cohort. ## FAQ See the page at https://eyko.ai/ideas/meeting-outcome-prediction/ for frequently asked questions about this analysis. --- --- title: Is every echelon holding the right inventory for the network? url: https://eyko.ai/ideas/multi-echelon-inventory-optimization/ description: Optimize inventory across the multi-tier supply chain so each echelon holds the right buffer for service and cost. AI Playbooks balance the network. --- # Is every echelon holding the right inventory for the network? Optimize inventory across the multi-tier supply chain so each echelon holds the right buffer for service and cost. AI Playbooks balance the network. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 echelons and 4,200 SKUs modeled. Total network inventory 18% above optimal at the same end-customer service level. DCs carry 24% excess buffer, plants run 6% deficit. Optimal redistribution unlocks $14M in working capital and improves end-customer fill rate by 2 points. Top 3 corrective moves alone deliver 70% of the value. ## FAQ See the page at https://eyko.ai/ideas/multi-echelon-inventory-optimization/ for frequently asked questions about this analysis. --- --- title: Do you know how your customers are actually connected? url: https://eyko.ai/ideas/multi-entity-relationship-mapping/ description: Map parent, subsidiary, partner, and reseller relationships across the customer base. AI Playbooks surface the full account family. --- # Do you know how your customers are actually connected? Map parent, subsidiary, partner, and reseller relationships across the customer base. AI Playbooks surface the full account family. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14,200 customer records resolved into 9,800 account families. 2,840 parent-subsidiary, 1,240 partner-end-customer, 480 post-acquisition consolidations identified. Top 100 largest account families collectively represent 64% of total ARR, a concentration not visible in the per-record view. Aligning motions to families projects $3.2M in incremental renewal and expansion ARR. ## FAQ See the page at https://eyko.ai/ideas/multi-entity-relationship-mapping/ for frequently asked questions about this analysis. --- --- title: Are your bundles actually winning deals? url: https://eyko.ai/ideas/multi-product-bundle-optimization/ description: Optimize multi-product bundles by segment and deal context using close-rate and discount patterns. AI Playbooks rank bundle moves by impact. --- # Are your bundles actually winning deals? Optimize multi-product bundles by segment and deal context using close-rate and discount patterns. AI Playbooks rank bundle moves by impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 months of bundle deals across 1,240 closed transactions analyzed. 3 of 8 active bundles produce material lift; 2 show no measurable lift ($1.4M annualized discount without behavior change); 3 are segment-specific. Catalog redesign projects $1.4M margin capture. ## FAQ See the page at https://eyko.ai/ideas/multi-product-bundle-optimization/ for frequently asked questions about this analysis. --- --- title: How many new logos will actually land this quarter? url: https://eyko.ai/ideas/new-logo-prediction/ description: Forecast new-logo pipeline and close volume by segment and quarter. AI Playbooks size the new-logo trajectory before quarter close. --- # How many new logos will actually land this quarter? Forecast new-logo pipeline and close volume by segment and quarter. AI Playbooks size the new-logo trajectory before quarter close. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 segments forecast for next quarter. Evidence-based: 28 new logos ($6.4M ARR) vs top-down target of 42. Gap: 14 logos, concentrated in enterprise (4 forecast vs 14 target) due to cycle-timing realism on stage-3 deals. Mid-market on track. Targeted action projects narrowing the gap to 6 with focused enterprise pipeline building. ## FAQ See the page at https://eyko.ai/ideas/new-logo-prediction/ for frequently asked questions about this analysis. --- --- title: How will this new product actually adopt in its first 90 days? url: https://eyko.ai/ideas/new-product-launch-prediction/ description: Forecast new product adoption per segment in the first 90 days based on early signals and historical launch patterns. AI Playbooks size the curve. --- # How will this new product actually adopt in its first 90 days? Forecast new product adoption per segment in the first 90 days based on early signals and historical launch patterns. AI Playbooks size the curve. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Recent launch forecast across 4 segments. 30-day actuals match model. 90-day forecast: 1,840 paid conversions. Segment A over-tracking (820 vs 480); segment B under-tracking (140 vs 320) on weak content engagement. Motion adjustments project lifting segment B by 60% within 60 days. ## FAQ See the page at https://eyko.ai/ideas/new-product-launch-prediction/ for frequently asked questions about this analysis. --- --- title: What is the single best move with this customer, right now? url: https://eyko.ai/ideas/next-best-action/ description: Recommend the single most effective next action for each customer across touchpoints. AI Playbooks rank actions by projected impact. --- # What is the single best move with this customer, right now? Recommend the single most effective next action for each customer across touchpoints. AI Playbooks rank actions by projected impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored across 14 possible actions. 312 retention actions, 280 expansion actions, 184 advocacy actions, 142 support-recovery actions recommended. 38% of recommended actions differ from the default lifecycle-stage playbook. Routing each action with supporting evidence projects a 22% lift in cross-functional motion conversion over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/next-best-action/ for frequently asked questions about this analysis. --- --- title: Which objections are actually costing you deals? url: https://eyko.ai/ideas/objection-pattern-analysis/ description: Surface recurring sales objections by segment, deal stage, and competitor. AI Playbooks rank objections by close-impact for targeted response. --- # Which objections are actually costing you deals? Surface recurring sales objections by segment, deal stage, and competitor. AI Playbooks rank objections by close-impact for targeted response. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of call and email data across 1,840 closed deals analyzed. 32 recurring clusters identified; top 8 account for 64% of volume; 4 of those carry materially higher loss-rate impact. Security-review-timeline in enterprise appears in 38% of enterprise losses, correlated with 18-point lower close rate when raised. ## FAQ See the page at https://eyko.ai/ideas/objection-pattern-analysis/ for frequently asked questions about this analysis. --- --- title: Are your deals in the stage their evidence supports? url: https://eyko.ai/ideas/opportunity-staging-accuracy/ description: Score CRM stage accuracy per deal by comparing reported stage to evidence-based stage. AI Playbooks surface deals mis-staged in either direction. --- # Are your deals in the stage their evidence supports? Score CRM stage accuracy per deal by comparing reported stage to evidence-based stage. AI Playbooks surface deals mis-staged in either direction. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scored. 84 show material staging divergence: 56 over-staged, 28 under-staged. Net pipeline distortion: $2.8M overstatement. Correction projects a 14-point improvement in forecast accuracy without changing the underlying deals. ## FAQ See the page at https://eyko.ai/ideas/opportunity-staging-accuracy/ for frequently asked questions about this analysis. --- --- title: Are your order quantities right for the demand they actually face? url: https://eyko.ai/ideas/order-quantity-optimization/ description: Optimize order quantities per SKU based on demand variability, lead time, and total cost. AI Playbooks replace static EOQ with continuous tuning. --- # Are your order quantities right for the demand they actually face? Optimize order quantities per SKU based on demand variability, lead time, and total cost. AI Playbooks replace static EOQ with continuous tuning. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs analyzed. 480 SKUs carry materially off-optimal order quantities. Total annualized cost impact: $1.8M across carrying, ordering, and stockout cost. Top 50 SKUs account for $640K. 84% of misfit traces to demand or lead-time drift fixable through parameter refresh; 16% reflects supplier MOQ constraints. Re-tuning captures the bulk of the opportunity within 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/order-quantity-optimization/ for frequently asked questions about this analysis. --- --- title: How much pipeline is your partner channel actually going to deliver? url: https://eyko.ai/ideas/partner-channel-forecasting/ description: Forecast partner-sourced and partner-influenced pipeline by partner and segment. AI Playbooks surface partner-channel coverage gaps. --- # How much pipeline is your partner channel actually going to deliver? Forecast partner-sourced and partner-influenced pipeline by partner and segment. AI Playbooks surface partner-channel coverage gaps. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84 active partners forecast for next quarter. Partner self-reported: $24M. Evidence-based: $14.8M. Gap: $9.2M of optimism concentrated in 12 partners. 8 high-engagement partners deliver $4.2M in partner-influenced direct revenue not currently tagged. Targeted partner conversations project narrowing the gap by 60%. ## FAQ See the page at https://eyko.ai/ideas/partner-channel-forecasting/ for frequently asked questions about this analysis. --- --- title: Which components in the field will fail next? url: https://eyko.ai/ideas/parts-failure-prediction/ description: Predict component-level failure across the fleet using usage, environment, and supplier data. AI Playbooks rank parts by failure probability. --- # Which components in the field will fail next? Predict component-level failure across the fleet using usage, environment, and supplier data. AI Playbooks rank parts by failure probability. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240,000 deployed units analyzed across 18 product lines and 84 batches. 12 batches projected to generate failure rates 2.4x line baseline within 12 months ($2.6M projected service and warranty cost). Operating environment (high-humidity regions) accounts for 64% of elevated risk on affected batches. Proactive replacement on the 4,200 highest-risk units projects $1.6M in avoided service cost. ## FAQ See the page at https://eyko.ai/ideas/parts-failure-prediction/ for frequently asked questions about this analysis. --- --- title: Which invoices are about to be missed? url: https://eyko.ai/ideas/payment-default-prediction/ description: Predict which customer accounts are most likely to miss the next payment. AI Playbooks flag at-risk invoices with time to intervene. --- # Which invoices are about to be missed? Predict which customer accounts are most likely to miss the next payment. AI Playbooks flag at-risk invoices with time to intervene. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 customers with upcoming invoices scored. 78 flagged as elevated default risk ($1.6M invoice value), 24 visible only in behavioral signals before AR slippage appears. Aging-report approach would have caught only 31 of 78 within the same window. Early-contact motions on flagged accounts project $740K in recovered or avoided bad debt over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/payment-default-prediction/ for frequently asked questions about this analysis. --- --- title: Are your personas describing real customers or wishful thinking? url: https://eyko.ai/ideas/persona-discovery/ description: Automatically discover distinct customer personas from behavioral data rather than workshopped guesses. AI Playbooks surface real personas. --- # Are your personas describing real customers or wishful thinking? Automatically discover distinct customer personas from behavioral data rather than workshopped guesses. AI Playbooks surface real personas. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 9 distinct personas discovered across 4,200 active customers, compared to 4 documented. 3 personas cross-cut the existing definitions. Largest undocumented persona ("pragmatic optimizer") represents 488 customers and $4.4M ARR currently mismatched in marketing. Rebuilding the persona library around discovered personas projects a 26% lift in campaign response rate. ## FAQ See the page at https://eyko.ai/ideas/persona-discovery/ for frequently asked questions about this analysis. --- --- title: What pipeline risks are quietly building inside your forecast? url: https://eyko.ai/ideas/pipeline-risk-detection/ description: Detect pipeline risks across coverage, concentration, stage mix, and segment exposure before they hit the quarter. AI Playbooks flag risks early. --- # What pipeline risks are quietly building inside your forecast? Detect pipeline risks across coverage, concentration, stage mix, and segment exposure before they hit the quarter. AI Playbooks flag risks early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active deals scanned. 4 risk patterns flagged: 32% top-5 concentration, late-stage coverage at 1.4x vs 2.0x target, 38% pipeline in rate-exposed segment, 2 senior reps carrying 42% of revenue. Combined risk: $4.2M of forecast at structural risk. Targeted rebalancing projects mitigating $2.4M. ## FAQ See the page at https://eyko.ai/ideas/pipeline-risk-detection/ for frequently asked questions about this analysis. --- --- title: How fast is your pipeline actually moving through the stages? url: https://eyko.ai/ideas/pipeline-velocity-prediction/ description: Forecast pipeline velocity across stages and segments so coverage planning runs on flow rather than snapshot. AI Playbooks size throughput. --- # How fast is your pipeline actually moving through the stages? Forecast pipeline velocity across stages and segments so coverage planning runs on flow rather than snapshot. AI Playbooks size throughput. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Pipeline velocity forecast across 4 stages and 4 segments. Aggregate velocity 14% below baseline. Bottleneck: stage 2-to-3 in mid-market (38% slower). Restoring mid-market velocity projects $3.8M in additional this-quarter close volume on existing pipeline. ## FAQ See the page at https://eyko.ai/ideas/pipeline-velocity-prediction/ for frequently asked questions about this analysis. --- --- title: How does each segment actually respond to price in active deals? url: https://eyko.ai/ideas/price-elasticity-modeling/ description: Model how each segment responds to price changes in active deals using win-loss patterns. AI Playbooks set guardrails grounded in elasticity. --- # How does each segment actually respond to price in active deals? Model how each segment responds to price changes in active deals using win-loss patterns. AI Playbooks set guardrails grounded in elasticity. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 segment-context combinations modeled across 18 months of deal data. Enterprise -0.4 (current desk authorizes past lift point); mid-market -1.1 (constrained where elasticity supports more); SMB -1.8 (elastic, low current discount leaving lift). Calibration projects $1.8M margin recovery plus close-rate lift in elastic segments. ## FAQ See the page at https://eyko.ai/ideas/price-elasticity-modeling/ for frequently asked questions about this analysis. --- --- title: How will each segment respond if you change the price? url: https://eyko.ai/ideas/price-sensitivity-modeling/ description: Model how customer demand responds to price changes per segment and per plan. AI Playbooks forecast win-loss impact at each price point. --- # How will each segment respond if you change the price? Model how customer demand responds to price changes per segment and per plan. AI Playbooks forecast win-loss impact at each price point. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Price sensitivity modeled across 8 segments and 5 plan tiers using 24 months of deal-level data. Enterprise list price is 9% below revenue-maximizing; SMB discount expense is 22% above the level the data supports. Realigning prices and discounts to the sensitivity model projects $3.2M in annualized revenue lift with negligible win-rate impact in the inelastic segments. ## FAQ See the page at https://eyko.ai/ideas/price-sensitivity-modeling/ for frequently asked questions about this analysis. --- --- title: Where is your procurement spend leaking value? url: https://eyko.ai/ideas/procurement-spend-analysis/ description: Surface spend patterns, consolidation opportunities, and maverick spend across the procurement base. AI Playbooks rank savings by impact. --- # Where is your procurement spend leaking value? Surface spend patterns, consolidation opportunities, and maverick spend across the procurement base. AI Playbooks rank savings by impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $84M annual procurement spend analyzed across 1,840 vendors and 24 categories. 12 categories show consolidation opportunities worth $4.2M annualized. $3.8M maverick spend concentrates in 5 categories where preferred contracts already exist. 38% of vendors account for less than 4% of spend (tail-spend rationalization candidates). Targeted action across the top opportunities projects $6.4M in annualized savings. ## FAQ See the page at https://eyko.ai/ideas/procurement-spend-analysis/ for frequently asked questions about this analysis. --- --- title: Which customers will adopt deeply, and which will stall? url: https://eyko.ai/ideas/product-adoption-forecasting/ description: Project the product adoption trajectory for each customer and identify intervention points. AI Playbooks forecast adoption depth and breadth. --- # Which customers will adopt deeply, and which will stall? Project the product adoption trajectory for each customer and identify intervention points. AI Playbooks forecast adoption depth and breadth. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers projected. 642 projected to stall on breadth, 412 to stall on depth, 184 to stall on both. Dual-stall accounts represent $2.8M ARR at elevated retention risk. Customers missing all 4 early-life signals are 4x more likely to stall by 6 months. Targeted motions on the at-risk cohort project a 32% reduction in 12-month adoption stalls. ## FAQ See the page at https://eyko.ai/ideas/product-adoption-forecasting/ for frequently asked questions about this analysis. --- --- title: Which products in your mix are actually pulling their weight? url: https://eyko.ai/ideas/product-mix-optimization/ description: Optimize the product portfolio by SKU contribution, channel margin, and demand fit. AI Playbooks rank promote, prune, and rebalance moves. --- # Which products in your mix are actually pulling their weight? Optimize the product portfolio by SKU contribution, channel margin, and demand fit. AI Playbooks rank promote, prune, and rebalance moves. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs analyzed across 6 channels and 18 product lines. 240 SKUs carry materially negative contribution margin. 84 SKUs show high margin and growing demand but receive disproportionately low marketing and operational attention. Portfolio rebalancing across these cohorts projects $6.8M in annualized contribution lift through targeted prune, promote, and rebalance moves. ## FAQ See the page at https://eyko.ai/ideas/product-mix-optimization/ for frequently asked questions about this analysis. --- --- title: Why does the same line produce different yields on different days? url: https://eyko.ai/ideas/production-yield-optimization/ description: Improve production yield by surfacing the variables that drive variability across lines, shifts, and batches. AI Playbooks rank yield levers. --- # Why does the same line produce different yields on different days? Improve production yield by surfacing the variables that drive variability across lines, shifts, and batches. AI Playbooks rank yield levers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of batch yield data analyzed across 4 production lines and 18 SKUs. Identifiable drivers explain 78% of variance. Largest: raw material lot variability (32%), evening-shift pattern on line 3 (18%), parameter window on line 1 (14%). Addressing the top 3 drivers projects an 8 to 12 point yield lift on affected SKUs over the next 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/production-yield-optimization/ for frequently asked questions about this analysis. --- --- title: Which customers actually carry your margin? url: https://eyko.ai/ideas/profitability-driver-analysis/ description: Identify the customer behaviors and deal mechanics that drive margin most. AI Playbooks decompose profitability by driver and customer. --- # Which customers actually carry your margin? Identify the customer behaviors and deal mechanics that drive margin most. AI Playbooks decompose profitability by driver and customer. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Margin decomposed across 4,200 active customers. Top-20 ARR list overlaps top-20 margin list on only 11 accounts. 184 customers carry negative contribution margin, primarily driven by discount expense and custom feature commitments. Discount expense explains 32% of margin variance. Re-papering and discount-policy moves project $4.2M in restored annualized margin. ## FAQ See the page at https://eyko.ai/ideas/profitability-driver-analysis/ for frequently asked questions about this analysis. --- --- title: Which accounts will buy in the next 90 days? url: https://eyko.ai/ideas/propensity-to-buy/ description: Score each account on near-term purchase likelihood across the catalog. AI Playbooks predict who will buy what, with confidence intervals. --- # Which accounts will buy in the next 90 days? Score each account on near-term purchase likelihood across the catalog. AI Playbooks predict who will buy what, with confidence intervals. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,420 accounts scored across 8 product lines. 312 high-propensity in-pipeline deals ($8.2M ARR forecast). 184 low-propensity in-pipeline deals ($4.6M at risk of slipping). 240 high-propensity expansion opportunities not currently in pipeline ($3.8M if built). Propensity-driven forecast projects a 22% accuracy improvement over rep-call baseline within 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/propensity-to-buy/ for frequently asked questions about this analysis. --- --- title: Which proposals are actually going to win? url: https://eyko.ai/ideas/proposal-success-prediction/ description: Predict proposal and RFP success probability before submission using stakeholder, requirement-fit, and competitor signals. AI Playbooks rank bids. --- # Which proposals are actually going to win? Predict proposal and RFP success probability before submission using stakeholder, requirement-fit, and competitor signals. AI Playbooks rank bids. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84 active and recent RFPs scored. 24 above 40% win probability (full resource), 32 below 12% (decline, 240 hours saved per quarter), 28 middle-range (targeted improvement). Net capacity savings: 38% of proposal capacity reallocated to higher-probability work. ## FAQ See the page at https://eyko.ai/ideas/proposal-success-prediction/ for frequently asked questions about this analysis. --- --- title: Which purchase orders should have been stopped before they posted? url: https://eyko.ai/ideas/purchase-order-anomaly-detection/ description: Detect unusual purchase orders that indicate fraud, error, or maverick spend before they post. AI Playbooks flag PO anomalies in real time. --- # Which purchase orders should have been stopped before they posted? Detect unusual purchase orders that indicate fraud, error, or maverick spend before they post. AI Playbooks flag PO anomalies in real time. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 28,400 POs scored over 90 days. 184 flagged at elevated anomaly probability: 38 split-PO patterns under approval thresholds, 24 vendor-pattern shifts, 14 new-vendor first-order spikes, 108 mixed anomalies. Routing flags for pre-post review projects $1.8M in avoided erroneous spend annually and substantially reduces audit-cycle surprise. ## FAQ See the page at https://eyko.ai/ideas/purchase-order-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Which batches are most likely to produce defects? url: https://eyko.ai/ideas/quality-defect-prediction/ description: Predict defect rates across products and batches using production, supplier, and inspection data. AI Playbooks flag elevated risk early. --- # Which batches are most likely to produce defects? Predict defect rates across products and batches using production, supplier, and inspection data. AI Playbooks flag elevated risk early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 batches scored across 4 production lines over the past quarter. 184 flagged at elevated defect risk: 84 supplier-lot driven, 48 line 2 parameter drift, 52 mixed. Confirmed defects on flagged batches ran 3.2x baseline. Targeted preventive action on flagged batches projects a 38% reduction in escaping defects over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/quality-defect-prediction/ for frequently asked questions about this analysis. --- --- title: Is every rep's quota actually achievable in their territory? url: https://eyko.ai/ideas/quota-optimization/ description: Optimize quota allocation per rep based on territory, segment, and capacity rather than equal split. AI Playbooks set quotas grounded in evidence. --- # Is every rep's quota actually achievable in their territory? Optimize quota allocation per rep based on territory, segment, and capacity rather than equal split. AI Playbooks set quotas grounded in evidence. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84 territory-and-rep combinations scored against $48M quarterly target. Current even split: $571K per rep. Optimized allocation: $320K to $880K range. Projected aggregate achievement: 96% optimized vs 78% even-split, with materially better rep retention and motivation. ## FAQ See the page at https://eyko.ai/ideas/quota-optimization/ for frequently asked questions about this analysis. --- --- title: How much revenue is leaking between quote and cash? url: https://eyko.ai/ideas/quote-to-cash-leakage-detection/ description: Detect revenue leakage between quote, contract, invoice, and cash across the QTC cycle. AI Playbooks surface specific leakage drivers. --- # How much revenue is leaking between quote and cash? Detect revenue leakage between quote, contract, invoice, and cash across the QTC cycle. AI Playbooks surface specific leakage drivers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 months of QTC data across 1,840 deals analyzed. Total leakage: $4.2M (3.4% of contracted revenue). Decomposition: $2.4M quote-to-contract, $0.9M contract-to-invoice, $0.5M invoice disputes, $0.4M payment-term extensions. Largest source: discount-cap softening on enterprise legal review. ## FAQ See the page at https://eyko.ai/ideas/quote-to-cash-leakage-detection/ for frequently asked questions about this analysis. --- --- title: Where could a substitute material cut cost or reduce supply risk? url: https://eyko.ai/ideas/raw-material-substitution/ description: Identify viable raw material substitutes that match spec and lower cost or risk. AI Playbooks rank substitution opportunities by quality fit. --- # Where could a substitute material cut cost or reduce supply risk? Identify viable raw material substitutes that match spec and lower cost or risk. AI Playbooks rank substitution opportunities by quality fit. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 primary raw materials analyzed. 84 have viable substitutes meeting spec. 24 substitutes offer 8 to 14 percent total-cost savings without quality compromise. 18 materials show high supply concentration risk that substitution would reduce. Pre-qualifying the top 12 opportunities projects $2.8M in annual cost-and-risk benefit and shortens disruption response from months to weeks. ## FAQ See the page at https://eyko.ai/ideas/raw-material-substitution/ for frequently asked questions about this analysis. --- --- title: When is the right moment to reach out to a quiet customer? url: https://eyko.ai/ideas/re-engagement-timing/ description: Predict the optimal moment and channel to re-engage dormant customers before they are permanently lost. AI Playbooks time the outreach. --- # When is the right moment to reach out to a quiet customer? Predict the optimal moment and channel to re-engage dormant customers before they are permanently lost. AI Playbooks time the outreach. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 2,840 dormant customers scored across 5 dormancy stages. 412 in a high-readiness window now, 680 entering the window within 30 days, 480 past the recovery threshold. Replacing the quarterly blanket campaign with timed, channel-matched outreach projects a 3.2x lift in response rate on the active cohort and a 38% reduction in wasted campaign capacity. ## FAQ See the page at https://eyko.ai/ideas/re-engagement-timing/ for frequently asked questions about this analysis. --- --- title: Which customers would actually refer you if you asked? url: https://eyko.ai/ideas/referral-likelihood-prediction/ description: Predict which customers are most likely to refer new business and build referral programs around them. AI Playbooks rank referral candidates. --- # Which customers would actually refer you if you asked? Predict which customers are most likely to refer new business and build referral programs around them. AI Playbooks rank referral candidates. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored. 480 high-likelihood referral candidates identified, 142 with substantial ICP-fit network reach. 240 of the 480 have not yet been asked. Targeted asks on the high-likelihood cohort project a 4.6x lift in referral close rate and a 32% reduction in marketing capacity wasted on generic prompts to the broad customer base. ## FAQ See the page at https://eyko.ai/ideas/referral-likelihood-prediction/ for frequently asked questions about this analysis. --- --- title: When should each renewal conversation actually start? url: https://eyko.ai/ideas/renewal-timing-optimization/ description: Time renewal conversations per account based on usage trajectory and signal patterns. AI Playbooks recommend when to open each renewal. --- # When should each renewal conversation actually start? Time renewal conversations per account based on usage trajectory and signal patterns. AI Playbooks recommend when to open each renewal. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 142 upcoming renewals over next 6 months scored. 38 should open earlier than 90-day default, 24 should open later, 12 need pre-renewal intervention. Total projected impact: $4.8M in incremental renewal and expansion ARR through timing optimization. Driver: procurement-gate timing inference accounts for 54% of early-open recommendations. ## FAQ See the page at https://eyko.ai/ideas/renewal-timing-optimization/ for frequently asked questions about this analysis. --- --- title: When should each SKU actually be reordered? url: https://eyko.ai/ideas/replenishment-timing/ description: Optimize replenishment timing per SKU and location using demand variability, lead time, and service level data. AI Playbooks tune reorder triggers. --- # When should each SKU actually be reordered? Optimize replenishment timing per SKU and location using demand variability, lead time, and service level data. AI Playbooks tune reorder triggers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs across 4 DCs analyzed. 680 SKUs carry materially off-optimal reorder triggers. Total cost impact: $1.2M annualized across stockout cost, expediting cost, and excess carrying cost. Re-tuning the top 200 SKUs captures 70% of the opportunity. Drift drivers split: 47% demand variability, 35% lead-time variability, 18% service-level mismatch. ## FAQ See the page at https://eyko.ai/ideas/replenishment-timing/ for frequently asked questions about this analysis. --- --- title: Which customers will respond to this specific campaign? url: https://eyko.ai/ideas/response-propensity-modeling/ description: Model the probability that each customer will respond to a specific offer, campaign, or outreach. AI Playbooks rank prospects per campaign. --- # Which customers will respond to this specific campaign? Model the probability that each customer will respond to a specific offer, campaign, or outreach. AI Playbooks rank prospects per campaign. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18,400 eligible customers scored for an upcoming campaign. Top decile shows 24% projected response (5.7x the historical average). Targeting only the top three deciles delivers 88% of projected response at 30% of campaign spend. Excluding the bottom four deciles protects campaign-effectiveness reporting and improves customer experience by reducing unwanted outreach. ## FAQ See the page at https://eyko.ai/ideas/response-propensity-modeling/ for frequently asked questions about this analysis. --- --- title: Which retention campaign should reach which customer? url: https://eyko.ai/ideas/retention-campaign-targeting/ description: Identify which customers to target in retention campaigns and with what message based on churn risk signals. AI Playbooks rank save targets. --- # Which retention campaign should reach which customer? Identify which customers to target in retention campaigns and with what message based on churn risk signals. AI Playbooks rank save targets. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 at-risk customers matched to 6 save campaign types. 184 strategic accounts ($4.6M ARR) routed to executive-sponsored motions, 480 mid-market accounts to driver-matched CSM campaigns, 1,176 SMB accounts to driver-matched automated campaigns. Targeted matching projects a 28% lift in incremental retention and a 22% reduction in save-campaign spend on accounts where the campaign would not have converted. ## FAQ See the page at https://eyko.ai/ideas/retention-campaign-targeting/ for frequently asked questions about this analysis. --- --- title: Why are customers actually returning your products? url: https://eyko.ai/ideas/returns-pattern-analysis/ description: Surface recurring return causes by SKU, channel, and reason code to reduce return volume and cost. AI Playbooks rank fixes by impact. --- # Why are customers actually returning your products? Surface recurring return causes by SKU, channel, and reason code to reduce return volume and cost. AI Playbooks rank fixes by impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184,000 returns across 18 product lines and 6 channels analyzed over the past year. 24 recurring cause clusters identified; top 5 account for 56% of return volume and $4.6M in annualized cost. Largest cluster (sizing inconsistency on apparel-line A in channel C) represents 12% of total returns. Top-3 fixes project a 28% reduction in return volume over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/returns-pattern-analysis/ for frequently asked questions about this analysis. --- --- title: Where is revenue quietly at risk inside your book? url: https://eyko.ai/ideas/revenue-at-risk-detection/ description: Identify accounts where revenue is at risk due to engagement decline, competitive pressure, or support escalations. AI Playbooks size the exposure. --- # Where is revenue quietly at risk inside your book? Identify accounts where revenue is at risk due to engagement decline, competitive pressure, or support escalations. AI Playbooks size the exposure. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 customers scanned. 184 accounts flagged at elevated revenue risk ($5.4M ARR), 38 in the top-decile concentration ($3.2M). Drivers: 64 engagement-led, 48 support-led, 42 competitive-led, 30 mixed. Driver-matched motions on the flagged cohort project $2.4M in retained ARR over 2 quarters and a 38% reduction in surprise loss reports. ## FAQ See the page at https://eyko.ai/ideas/revenue-at-risk-detection/ for frequently asked questions about this analysis. --- --- title: Are your delivery routes still the most efficient mix? url: https://eyko.ai/ideas/route-optimization/ description: Optimize delivery routes for cost and service performance using stop, vehicle, and traffic data. AI Playbooks rebalance routes daily. --- # Are your delivery routes still the most efficient mix? Optimize delivery routes for cost and service performance using stop, vehicle, and traffic data. AI Playbooks rebalance routes daily. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 48 routes and 18,400 stops analyzed across 12 months. Current plans run 14% above optimized cost at the same service level. Top 8 routes account for 64% of the gap. Daily optimization projects $1.8M annualized savings without service degradation. Drivers: 38% capacity imbalance, 32% sequencing, 18% time-window inflexibility. ## FAQ See the page at https://eyko.ai/ideas/route-optimization/ for frequently asked questions about this analysis. --- --- title: Is your safety stock right for the variability it actually faces? url: https://eyko.ai/ideas/safety-stock-optimization/ description: Right-size safety stock per SKU against current demand and lead-time variability. AI Playbooks free working capital without breaking service. --- # Is your safety stock right for the variability it actually faces? Right-size safety stock per SKU against current demand and lead-time variability. AI Playbooks free working capital without breaking service. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs across 4 DCs analyzed. 840 carry excess safety stock ($4.2M tied working capital); 184 carry insufficient buffer producing avoidable stockouts. Right-sizing the top 200 SKUs in the next planning cycle captures $2.6M in freed working capital and improves overall fill rate by 1.4 points. ## FAQ See the page at https://eyko.ai/ideas/safety-stock-optimization/ for frequently asked questions about this analysis. --- --- title: Will your next NPS survey surface a surprise? url: https://eyko.ai/ideas/satisfaction-prediction/ description: Predict CSAT and NPS scores before surveys go out so customer success can intervene on at-risk customers. AI Playbooks forecast sentiment. --- # Will your next NPS survey surface a surprise? Predict CSAT and NPS scores before surveys go out so customer success can intervene on at-risk customers. AI Playbooks forecast sentiment. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output NPS scores forecast for 4,200 active customers ahead of the next survey wave. 184 projected to drop from passive to detractor (38% increase in detractor cohort), 64 of those silent for two waves. 240 trending into promoter territory. Intervention motions on the projected-detractor cohort project a 12-point lift in next-wave NPS vs the unmitigated forecast. ## FAQ See the page at https://eyko.ai/ideas/satisfaction-prediction/ for frequently asked questions about this analysis. --- --- title: Which of your SKUs have seasonality you have not named? url: https://eyko.ai/ideas/seasonal-pattern-recognition/ description: Detect seasonal demand patterns per SKU and region beyond standard quarterly cycles. AI Playbooks identify hidden seasonality and recommend planning shifts. --- # Which of your SKUs have seasonality you have not named? Detect seasonal demand patterns per SKU and region beyond standard quarterly cycles. AI Playbooks identify hidden seasonality and recommend planning shifts. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 months of demand across 4,200 SKUs and 8 regions analyzed. 380 SKUs show materially different seasonality from baseline. 84 SKUs have regional pattern divergence requiring region-specific planning. 28 SKUs have event-driven seasonality not captured in current forecasting. Capturing these patterns projects a 14-point forecast accuracy lift on the affected SKUs. ## FAQ See the page at https://eyko.ai/ideas/seasonal-pattern-recognition/ for frequently asked questions about this analysis. --- --- title: When did this customer relationship start cooling? url: https://eyko.ai/ideas/sentiment-analysis/ description: Analyze customer communications across channels to detect sentiment shifts that signal relationship health changes. AI Playbooks track tone live. --- # When did this customer relationship start cooling? Analyze customer communications across channels to detect sentiment shifts that signal relationship health changes. AI Playbooks track tone live. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored across 90 days of communication data. 142 accounts show materially negative sentiment shift ($3.8M ARR), 84 of which have not yet triggered a behavioral churn-risk flag because behavioral signals lag sentiment by 30 to 45 days. Trigger-matched motions on the early-sentiment cohort project a 38% reduction in surprise renewal losses. ## FAQ See the page at https://eyko.ai/ideas/sentiment-analysis/ for frequently asked questions about this analysis. --- --- title: How much service demand is heading your way next month? url: https://eyko.ai/ideas/service-demand-prediction/ description: Forecast incoming service demand by account, issue type, and channel to optimize support team capacity. AI Playbooks plan staffing in advance. --- # How much service demand is heading your way next month? Forecast incoming service demand by account, issue type, and channel to optimize support team capacity. AI Playbooks plan staffing in advance. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Next 30 days of service demand forecast across 4 channels and 12 issue types. Total volume projected 14% above trailing average. Release-driven 38% technical spike on day 12 and 22% billing spike in week 3. Current staffing plan undercalls technical FTEs by 4 and overcalls billing by 2. Reallocating FTEs to match forecast projects queue-time stability through the spike weeks. ## FAQ See the page at https://eyko.ai/ideas/service-demand-prediction/ for frequently asked questions about this analysis. --- --- title: Which support cases are most likely to land poorly? url: https://eyko.ai/ideas/service-quality-prediction/ description: Predict service quality outcomes based on team capacity, ticket complexity, and customer expectations. AI Playbooks forecast CSAT per case. --- # Which support cases are most likely to land poorly? Predict service quality outcomes based on team capacity, ticket complexity, and customer expectations. AI Playbooks forecast CSAT per case. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active and incoming cases scored. 142 flagged at elevated risk of low CSAT, 48 in high-value accounts where the low score carries renewal-risk implications. Routing produces 64% low-quality outcomes on multi-product cases during high-load windows. Targeted re-routing and routing-engine changes project a 22-point CSAT lift on the affected case mix. ## FAQ See the page at https://eyko.ai/ideas/service-quality-prediction/ for frequently asked questions about this analysis. --- --- title: Which inventory is about to expire on your shelves? url: https://eyko.ai/ideas/shelf-life-prediction/ description: Predict shelf-life exhaustion across perishable inventory by SKU, lot, and location. AI Playbooks flag expiration risk early. --- # Which inventory is about to expire on your shelves? Predict shelf-life exhaustion across perishable inventory by SKU, lot, and location. AI Playbooks flag expiration risk early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84,000 lots across 18 perishable categories analyzed. 1,840 lots at elevated expiration risk in next 90 days ($3.2M inventory value). 480 lots within 14-day redistribution window; 720 viable for discount sell-through; 640 require donation or disposal. Targeted action on the at-risk cohort projects $2.1M in recovered value vs default write-off path. ## FAQ See the page at https://eyko.ai/ideas/shelf-life-prediction/ for frequently asked questions about this analysis. --- --- title: Will your freight spend be over or under plan next quarter? url: https://eyko.ai/ideas/shipping-cost-prediction/ description: Forecast shipping cost by lane, mode, and carrier so freight spend stays predictable and exceptions get flagged early. AI Playbooks project spend. --- # Will your freight spend be over or under plan next quarter? Forecast shipping cost by lane, mode, and carrier so freight spend stays predictable and exceptions get flagged early. AI Playbooks project spend. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 28 carrier-lane combinations and 6 modes forecast for the next quarter. Projected spend 8% above plan. Drivers: 38% accessorial growth, 32% mode-mix shift to premium air, 18% base rate increases, 12% fuel and weight-mix. Targeted negotiations and re-mode actions project $1.4M in annualized savings vs the current trajectory. ## FAQ See the page at https://eyko.ai/ideas/shipping-cost-prediction/ for frequently asked questions about this analysis. --- --- title: How many of your SKUs are quietly costing more than they make? url: https://eyko.ai/ideas/sku-rationalization/ description: Reduce SKU complexity by retiring low-value items that drain working capital and operational attention. AI Playbooks rank retirements by impact. --- # How many of your SKUs are quietly costing more than they make? Reduce SKU complexity by retiring low-value items that drain working capital and operational attention. AI Playbooks rank retirements by impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs scored. 680 long-tail SKUs sit below operational overhead. Retiring the bottom 240 (clean tail, no customer attachment) projects $3.6M in freed working capital and $1.2M in annualized operational savings. 84 SKUs need customer conversations before retirement. New-SKU approval discipline keeps the portfolio shape stable post-program. ## FAQ See the page at https://eyko.ai/ideas/sku-rationalization/ for frequently asked questions about this analysis. --- --- title: Which SKUs will stock out before the next replenishment lands? url: https://eyko.ai/ideas/stockout-probability-scoring/ description: Predict the probability of stockout per SKU and location with days-to-stockout horizons. AI Playbooks rank intervention by revenue and customer impact. --- # Which SKUs will stock out before the next replenishment lands? Predict the probability of stockout per SKU and location with days-to-stockout horizons. AI Playbooks rank intervention by revenue and customer impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs across 4 DCs scored. 240 SKU-location combinations at elevated stockout risk in next 30 days ($2.4M revenue exposure). 84 viable for redistribution, 38 require expedited inbound, 24 have substitute options. Targeted action across all intervention types projects $1.6M in protected revenue. Drivers: 42% demand spike, 32% inbound lateness, 18% allocation mismatch. ## FAQ See the page at https://eyko.ai/ideas/stockout-probability-scoring/ for frequently asked questions about this analysis. --- --- title: Which customers are about to ask for a smaller plan? url: https://eyko.ai/ideas/subscription-downgrade-prediction/ description: Predict which customers are likely to downgrade their subscription so you can intervene before the decision is made. AI Playbooks flag plan risk. --- # Which customers are about to ask for a smaller plan? Predict which customers are likely to downgrade their subscription so you can intervene before the decision is made. AI Playbooks flag plan risk. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 active customers scored. 184 flagged at elevated downgrade risk ($2.6M in plan-tier value), 84 enterprise-to-mid-market projected within 60 days. Dominant driver is feature breadth contraction (62%), not price (22%). Driver-matched motions on the flagged cohort project $1.4M in retained plan-tier value over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/subscription-downgrade-prediction/ for frequently asked questions about this analysis. --- --- title: Where is your supplier diversity program actually moving the number? url: https://eyko.ai/ideas/supplier-diversity-scoring/ description: Score the supplier base on diversity certifications, spend share, and growth fit. AI Playbooks identify spend expansion paths. --- # Where is your supplier diversity program actually moving the number? Score the supplier base on diversity certifications, spend share, and growth fit. AI Playbooks identify spend expansion paths. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active suppliers scored across 24 categories. Diverse-supplier spend at 18% vs 24% target. 6 categories carry $4.2M addressable growth headroom. 38 certifications expiring in 6 months without renewal in motion. 12 near-eligible suppliers reachable with modest support. Targeted action across these paths projects closing 80% of the gap to target within 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/supplier-diversity-scoring/ for frequently asked questions about this analysis. --- --- title: Which of your suppliers can you actually count on? url: https://eyko.ai/ideas/supplier-reliability-ranking/ description: Rank suppliers on delivery, quality, and responsiveness reliability across the active supply base. AI Playbooks surface degrading performers. --- # Which of your suppliers can you actually count on? Rank suppliers on delivery, quality, and responsiveness reliability across the active supply base. AI Playbooks surface degrading performers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active suppliers scored on 4 reliability dimensions. 42 show material degradation vs trailing baseline in the past 90 days; 24 would not have triggered standard scorecard cycles because composite stayed acceptable. Top 12 degrading suppliers carry $14M annualized spend exposure. Targeted sourcing reviews project $4M in mitigated supply risk over 2 quarters. ## FAQ See the page at https://eyko.ai/ideas/supplier-reliability-ranking/ for frequently asked questions about this analysis. --- --- title: How sustainable is the supply behind your sustainability claims? url: https://eyko.ai/ideas/supplier-sustainability-scoring/ description: Score suppliers on sustainability metrics (carbon, water, labor, certifications) for sourcing decisions. AI Playbooks rank ESG-fit suppliers. --- # How sustainable is the supply behind your sustainability claims? Score suppliers on sustainability metrics (carbon, water, labor, certifications) for sourcing decisions. AI Playbooks rank ESG-fit suppliers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active suppliers scored across 4 sustainability dimensions. 84 in the top-quartile combined sustainability-and-operating fit. 38 suppliers carry certification or disclosure inconsistencies that would affect ESG reporting if relied upon. 142 suppliers have materially changed since their last disclosure cycle. Continuous scoring projects 38% reduction in ESG disclosure risk. ## FAQ See the page at https://eyko.ai/ideas/supplier-sustainability-scoring/ for frequently asked questions about this analysis. --- --- title: Where is supply not going to meet demand in 90 days? url: https://eyko.ai/ideas/supply-demand-gap-prediction/ description: Forecast supply-demand gaps across SKUs, lanes, and capacity windows before they produce stockouts or excess. AI Playbooks rank rebalance actions. --- # Where is supply not going to meet demand in 90 days? Forecast supply-demand gaps across SKUs, lanes, and capacity windows before they produce stockouts or excess. AI Playbooks rank rebalance actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Next 90 days analyzed across 4,200 SKUs. 184 SKUs show material supply-demand gaps: 84 supply-shortfall ($3.8M revenue at risk), 64 demand-shortfall ($2.4M excess inventory), 36 mixed-period gaps. Targeted rebalance projects $4.2M in mitigated impact through capacity reallocation, expedites, and proactive customer communication. ## FAQ See the page at https://eyko.ai/ideas/supply-demand-gap-prediction/ for frequently asked questions about this analysis. --- --- title: How exposed is your supply chain to the next tariff change? url: https://eyko.ai/ideas/tariff-exposure-scoring/ description: Score parts, lanes, and products by exposure to tariff changes across origin countries and HTS codes. AI Playbooks size the exposure. --- # How exposed is your supply chain to the next tariff change? Score parts, lanes, and products by exposure to tariff changes across origin countries and HTS codes. AI Playbooks size the exposure. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 parts and 18 product lines scored against current and 3 proposed tariff scenarios. Current annual tariff exposure: $4.8M. Proposed scenario A would lift exposure to $8.2M. 24 parts account for 64% of the exposure delta. 8 parts have viable re-classification opportunities. Targeted mitigation projects $2.4M in avoided exposure under the most likely scenario. ## FAQ See the page at https://eyko.ai/ideas/tariff-exposure-scoring/ for frequently asked questions about this analysis. --- --- title: Are your tickets reaching the right agent on the first try? url: https://eyko.ai/ideas/ticket-classification/ description: Automatically classify support tickets by issue type, urgency, and customer segment to optimize routing and resolution. AI Playbooks tag tickets. --- # Are your tickets reaching the right agent on the first try? Automatically classify support tickets by issue type, urgency, and customer segment to optimize routing and resolution. AI Playbooks tag tickets. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 28,400 tickets classified over the past quarter. AI agreed with agents on 84% at high confidence and surfaced 1,840 historically miscategorized tickets. 320 high-value-segment tickets had been routed to standard SLAs without segment-aware handling. Deploying AI classification as primary projects a 22% lift in first-touch resolution and a 14-point CSAT improvement on segment-aware handled cases. ## FAQ See the page at https://eyko.ai/ideas/ticket-classification/ for frequently asked questions about this analysis. --- --- title: What is the real cost of the cheapest option? url: https://eyko.ai/ideas/total-cost-of-ownership-modeling/ description: Model total cost of ownership (purchase, operating, support, end-of-life) across procurement decisions. AI Playbooks rank options by full economics. --- # What is the real cost of the cheapest option? Model total cost of ownership (purchase, operating, support, end-of-life) across procurement decisions. AI Playbooks rank options by full economics. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 active procurement decisions modeled affecting $42M in lifecycle spend. 12 decisions show the lowest-purchase-price option does not win on TCO. Aggregate TCO gap between purchase-price-winners and TCO-winners is $8.4M. Largest single gap is on a maintenance-heavy category where the cheap option carries 2.4x the operating cost over asset life. ## FAQ See the page at https://eyko.ai/ideas/total-cost-of-ownership-modeling/ for frequently asked questions about this analysis. --- --- title: Are you shipping at the right mode for every lane? url: https://eyko.ai/ideas/transportation-mode-selection/ description: Pick the optimal transport mode per lane and shipment profile balancing cost, service, and emissions. AI Playbooks rank mode options. --- # Are you shipping at the right mode for every lane? Pick the optimal transport mode per lane and shipment profile balancing cost, service, and emissions. AI Playbooks rank mode options. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184,000 shipments across 28 lanes and 4 modes analyzed over the past year. Current mode mix runs 11% above optimized cost baseline at the same service level. 8 lanes show large mode-mix opportunities; premium air usage on 4 lanes exceeds service requirement by 24% of shipments. Targeted mode shifts project $2.4M annual savings and 12% lower transport emissions. ## FAQ See the page at https://eyko.ai/ideas/transportation-mode-selection/ for frequently asked questions about this analysis. --- --- title: How fast will your inventory actually turn over next quarter? url: https://eyko.ai/ideas/turnover-forecasting/ description: Forecast inventory turnover per SKU and category over coming quarters to guide buying, pricing, and capital decisions. AI Playbooks project turns. --- # How fast will your inventory actually turn over next quarter? Forecast inventory turnover per SKU and category over coming quarters to guide buying, pricing, and capital decisions. AI Playbooks project turns. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 SKUs and 18 categories forecast across 1, 2, and 4 quarter horizons. Company turnover projects to drop from 6.2 to 5.4 in 2 quarters, driven by lifecycle-declining SKUs (184) and demand acceleration on growth SKUs (84). Working capital impact: $4.8M tied up if buying continues unchanged. Targeted action releases $3.2M and improves blended turnover by 8%. ## FAQ See the page at https://eyko.ai/ideas/turnover-forecasting/ for frequently asked questions about this analysis. --- --- title: Which vendors should you consolidate to capture the savings? url: https://eyko.ai/ideas/vendor-consolidation-analysis/ description: Identify vendors worth consolidating to capture scale economies and reduce overhead. AI Playbooks rank consolidation moves by savings. --- # Which vendors should you consolidate to capture the savings? Identify vendors worth consolidating to capture scale economies and reduce overhead. AI Playbooks rank consolidation moves by savings. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 vendors across 24 categories analyzed. 84 categories carry meaningful consolidation opportunity. 240 vendors are candidates. Consolidating the top 60 moves projects $3.6M annualized savings from rate improvement plus $480K from operational overhead reduction without compromising supply resilience. ## FAQ See the page at https://eyko.ai/ideas/vendor-consolidation-analysis/ for frequently asked questions about this analysis. --- --- title: Which vendors just changed how they perform? url: https://eyko.ai/ideas/vendor-performance-anomaly-detection/ description: Detect unusual shifts in vendor performance across delivery, quality, and cost dimensions in real time. AI Playbooks flag anomalies with cause. --- # Which vendors just changed how they perform? Detect unusual shifts in vendor performance across delivery, quality, and cost dimensions in real time. AI Playbooks flag anomalies with cause. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 active vendors scored continuously over the past quarter. 142 performance anomalies detected: 64 vendor-side process shifts, 38 external-event-driven, 24 buyer-side, 16 normal-variation. 22 of the vendor-side anomalies are on strategic-spend vendors warranting near-term sourcing review. Continuous detection projects 42% reduction in surprise scorecard misses next quarter. ## FAQ See the page at https://eyko.ai/ideas/vendor-performance-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: What are your customers actually telling you? url: https://eyko.ai/ideas/voice-of-customer-insights/ description: Synthesize and analyze feedback from multiple sources to surface the themes driving satisfaction and churn. AI Playbooks cluster VoC signal. --- # What are your customers actually telling you? Synthesize and analyze feedback from multiple sources to surface the themes driving satisfaction and churn. AI Playbooks cluster VoC signal. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 142,000 verbatim mentions synthesized across 6 channels over the past quarter. 38 themes identified. 7 themes account for 64% of negative sentiment volume. Strongest negative theme (data import friction) correlates with 12-month churn at 76% confidence. Acting on the top 3 themes projects an 8 to 11 point improvement in 12-month retention. ## FAQ See the page at https://eyko.ai/ideas/voice-of-customer-insights/ for frequently asked questions about this analysis. --- --- title: Where will your warehouse capacity run out next quarter? url: https://eyko.ai/ideas/warehouse-capacity-planning/ description: Forecast warehouse capacity utilization across DCs, zones, and shifts before bottlenecks form. AI Playbooks rank capacity moves. --- # Where will your warehouse capacity run out next quarter? Forecast warehouse capacity utilization across DCs, zones, and shifts before bottlenecks form. AI Playbooks rank capacity moves. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 DCs, 12 zones, and 3 shifts forecast over the next 90 days. DC 2 dock capacity bottlenecks in week 6 during seasonal peak; DC 1 long-tail zone overflows 8% in week 9; DC 4 evening-shift labor 14% short. Cross-DC rebalancing projects zero overflow with no additional capacity investment, avoiding the operational cost of seasonal firefighting. ## FAQ See the page at https://eyko.ai/ideas/warehouse-capacity-planning/ for frequently asked questions about this analysis. --- --- title: Which products and customers will file the next warranty claims? url: https://eyko.ai/ideas/warranty-claim-prediction/ description: Predict which products and customers are likely to generate warranty claims using sales, quality, and support data. AI Playbooks forecast claim risk. --- # Which products and customers will file the next warranty claims? Predict which products and customers are likely to generate warranty claims using sales, quality, and support data. AI Playbooks forecast claim risk. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Warranty exposure forecast across 12 product lines and 84 production batches. Two batches in product line C projected to generate claim rates 3.2x the line baseline ($1.8M incremental exposure). Current accrual undercalls by $640K. Proactive replacement on the highest-risk subset projects $1.2M in avoided claim cost over 12 months while protecting customer experience. ## FAQ See the page at https://eyko.ai/ideas/warranty-claim-prediction/ for frequently asked questions about this analysis. --- --- title: Which lapsed customers are worth fighting to win back? url: https://eyko.ai/ideas/win-back-scoring/ description: Score lapsed customers by their likelihood of being won back to focus win-back campaign resources where they convert. AI Playbooks rank candidates. --- # Which lapsed customers are worth fighting to win back? Score lapsed customers by their likelihood of being won back to focus win-back campaign resources where they convert. AI Playbooks rank candidates. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 lapsed customers scored. 184 high-recoverability (projected 18%+ response), 380 medium (6 to 12% response), 1,276 low or unrecoverable (<2%). Targeted win-back on the high-recoverability cohort projects a 4.2x lift in win-back conversion at 22% of the current campaign spend. Retiring the unrecoverable tail frees capacity for the targeted track. ## FAQ See the page at https://eyko.ai/ideas/win-back-scoring/ for frequently asked questions about this analysis. --- --- title: Customer Success Use Case - AI Playbooks for Customer Success Teams url: https://eyko.ai/use-cases/customers/ description: eyko Playbooks for customer success teams, from churn prediction and root cause analysis to upsell timing, customer segmentation, and retention strategy. --- eyko Playbooks turn your customer data into ranked, actionable intelligence in minutes. Connect Salesforce, HubSpot, support platforms, product analytics, billing systems, or your data warehouse and get AI-generated analysis covering churn risk, retention strategy, expansion readiness, segmentation, and customer health. Each Playbook ships with prioritized actions tailored to the specific risk factors of each account. ## Customer Success Playbook capabilities - **Churn and retention** - Churn prediction, churn root cause analysis, renewal pipeline forecasting, retention action ranking. - **Expansion and upsell** - Upsell timing optimization, account expansion scoring, cross-sell opportunity detection. - **Segmentation and health** - Customer segmentation, lifetime value forecasting, net revenue retention forecasting, customer health scoring. - **Engagement and adoption** - Adoption pattern analysis, feature usage scoring, executive engagement tracking. - **Voice of customer** - Sentiment analysis from support tickets and feedback, account temperature scoring. ## Pre-built customer success Ideas - Churn Prediction - Churn Root Cause Analysis - Upsell Timing Optimization - Customer Segmentation - Net Revenue Retention Forecasting - Lifetime Value Forecasting ## How it works 1. Connect your CRM, support platform, and product analytics 2. Select a customer success Idea or type a question about your accounts in plain language 3. Receive a Playbook with at-risk accounts, root cause analysis, and ranked retention actions ## Frequently asked **Can Playbooks predict churn before health scores decline?** Yes. Playbooks analyze leading indicators like login frequency, feature adoption, and support sentiment that predict disengagement before lagging indicators like health scores reflect it. **Can Playbooks recommend retention actions per account?** Yes. Each Playbook includes prioritized actions tailored to the specific risk factors of each account: executive business review, adoption workshop, feature training, or commercial concession. **Can Playbooks identify upsell alongside churn risk?** Yes. Playbooks analyze expansion readiness signals in parallel with risk signals. Some accounts show both retention risk and expansion opportunity simultaneously. --- --- title: Finance Use Case - AI Playbooks for Finance Teams url: https://eyko.ai/use-cases/finance/ description: eyko Playbooks for finance and FP&A teams, from cash flow forecasting and budget variance to revenue leakage detection and rate sensitivity modeling. --- eyko Playbooks turn your financial data into ranked, actionable intelligence in minutes. Connect Oracle ERP (JDE, EBS, PeopleSoft), NetSuite, SAP, Workday, Snowflake, BigQuery, or your other systems and get AI-generated analysis covering forecasting, variance investigation, risk detection, cost analysis, and operational finance. Instead of building reports manually, your FP&A team gets structured analysis with the investigation already done. ## Finance Playbook capabilities - **Forecasting and planning** - Revenue, cash flow, working capital, gross margin, budget variance, departmental spend, debt service, tax liability, and CapEx return prediction. - **Risk and anomaly detection** - Financial risk scoring, margin erosion, revenue leakage, expense anomalies, KPI anomaly detection, fraud, receivables risk, and intercompany reconciliation. - **Cost and profitability** - Cost optimization modeling, profitability driver analysis, inflation and rate sensitivity, currency exposure prediction. - **Operations and process** - Financial close prediction, audit readiness, AP exception prediction, data quality scoring, contract compliance. - **Payments and working capital** - Vendor and payment timing optimization, tail spend detection, procurement ROI prediction. - **Scenario and strategy** - Scenario planning, transfer pricing optimization, regulatory compliance scoring, sustainability ROI, ESG metrics consolidation. ## Pre-built finance Ideas - Budget Variance Analysis - Revenue Leakage Detection - Cash Flow Forecasting - Margin Compression Analysis - Rate Sensitivity Modeling - Working Capital Optimization ## How it works 1. Connect your ERP, GL, and financial planning systems (or upload an extract) 2. Select a finance Idea or type a question in plain language 3. Receive a Playbook with executive summary, root cause analysis, and recommended actions ## Frequently asked **How is a Finance Playbook different from a dashboard?** A dashboard shows your financial KPIs as charts. A Playbook explains why those KPIs moved, traces root causes across systems, and recommends specific actions with quantified impact. **Can my CFO review a Playbook without training?** Yes. Executive summary at the top, narrative in the middle, recommended actions at the bottom. Consistent format across every Playbook. **Can Playbooks replace our month-end reporting?** Playbooks can replace the manual assembly of recurring operational reports. Regulatory and board-mandated reports may still need formal documentation, but the analysis behind them can be generated from live data. --- --- title: Operations Use Case - AI Playbooks for Operations Teams url: https://eyko.ai/use-cases/operations/ description: eyko Playbooks for operations teams, from throughput and capacity analysis to maintenance scheduling, cost optimization, and process improvement. --- eyko Playbooks turn your operational data into ranked, actionable intelligence in minutes. Connect Oracle ERP, SAP, NetSuite, MES, WMS, CMMS, IoT platforms, or your data warehouse and get AI-generated analysis covering throughput, utilization, cost per unit, cycle time, quality rates, and capacity. Dashboards show metrics. Playbooks explain why those metrics changed and recommend what to do next. ## Operations Playbook capabilities - **Throughput and capacity** - Capacity utilization prediction, throughput optimization, line-level variance analysis, shift performance comparison. - **Cost and profitability** - Cost per unit analysis, labor and materials cost drivers, utilities optimization, overhead allocation review. - **Quality and reliability** - Defect rate analysis, root cause investigation, supplier quality scoring, equipment reliability prediction. - **Maintenance and uptime** - Predictive maintenance scheduling, MTBF analysis, equipment lifecycle modeling. - **Workforce and productivity** - Workforce productivity analysis, scheduling optimization, training ROI prediction. ## Pre-built operations Ideas - Demand Sensing - Inventory Optimization - Supplier Risk Scoring - Demand Forecasting - Disruption Vulnerability Scoring ## How it works 1. Connect your ERP, MES, WMS, CMMS, or IoT data sources 2. Select an operations Idea or type a question about your operations in plain language 3. Receive a Playbook with operational variance analysis, root causes, and ranked actions ## Frequently asked **How is an Operations Playbook different from an operational dashboard?** Dashboards show metrics. Playbooks explain why those metrics changed and recommend what to do. When throughput drops, a Playbook traces it to the specific line, shift, or input causing the variance. **Can Playbooks help with capacity planning?** Yes. Playbooks analyze utilization trends, demand forecasts, and maintenance schedules to predict capacity constraints before they affect output. **Can Playbooks identify cost reduction opportunities?** Yes. Playbooks analyze cost drivers across labor, materials, utilities, and overhead to identify addressable savings. Each recommendation is quantified with expected impact. --- --- title: Where is the next dollar of acquisition spend most efficient? url: https://eyko.ai/ideas/acquisition-cost-optimization/ description: Optimize acquisition spend across channels and segments to lower blended CAC without volume loss. AI Playbooks reallocate by marginal CAC. --- # Where is the next dollar of acquisition spend most efficient? Optimize acquisition spend across channels and segments to lower blended CAC without volume loss. AI Playbooks reallocate by marginal CAC. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 channel-segment combinations analyzed over 18 months. Current blended CAC: $4,200. Optimized allocation projects $3,400 on same total spend through $480K reallocation from saturating channels to underfunded ones. 4 combinations at saturation; 3 underfunded against marginal CAC potential. ## FAQ See the page at https://eyko.ai/ideas/acquisition-cost-optimization/ for frequently asked questions about this analysis. --- --- title: Is your ad spend going to where it actually converts? url: https://eyko.ai/ideas/ad-spend-optimization/ description: Optimize paid-media spend across platforms, audiences, and creatives. AI Playbooks rebalance the mix by measured outcome rather than platform default. --- # Is your ad spend going to where it actually converts? Optimize paid-media spend across platforms, audiences, and creatives. AI Playbooks rebalance the mix by measured outcome rather than platform default. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 platforms, 18 audiences, 24 creatives scored over the past quarter. Platform reports vs outcome-based view diverge materially. LinkedIn enterprise outperforms at 3x platform-reported pipeline conversion. Reallocating 25% of paid-search budget to LinkedIn enterprise projects 14% lift in pipeline-per-spend without volume loss. ## FAQ See the page at https://eyko.ai/ideas/ad-spend-optimization/ for frequently asked questions about this analysis. --- --- title: Are you talking to customers like their budget actually allows? url: https://eyko.ai/ideas/affordability-driven-messaging/ description: Match marketing messaging to customer affordability tier in macro-pressured segments. AI Playbooks recommend tier-aware messaging. --- # Are you talking to customers like their budget actually allows? Match marketing messaging to customer affordability tier in macro-pressured segments. AI Playbooks recommend tier-aware messaging. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14,200 active customers scored on current affordability tier. 1,840 shifted down (currently receiving premium messaging with 22% lower response). 480 shifted up (underused expansion opportunity). Tier-matched messaging projects a 38% lift in response rate on the affected cohort. ## FAQ See the page at https://eyko.ai/ideas/affordability-driven-messaging/ for frequently asked questions about this analysis. --- --- title: Which touches in your customer journey actually drove the conversion? url: https://eyko.ai/ideas/attribution-modeling/ description: Model multi-touch attribution across the customer journey to credit the touches that actually influenced conversion. AI Playbooks rank touch impact. --- # Which touches in your customer journey actually drove the conversion? Model multi-touch attribution across the customer journey to credit the touches that actually influenced conversion. AI Playbooks rank touch impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 2,840 closed-won customer journeys re-scored. Last-touch credits branded paid-search at 42% of revenue; measured-influence credits 14%. Content marketing climbs from 8% (last-touch) to 24% (measured-influence). Reallocating against measured influence projects 18% lift in marketing-driven pipeline efficiency. ## FAQ See the page at https://eyko.ai/ideas/attribution-modeling/ for frequently asked questions about this analysis. --- --- title: Which audiences are quietly tuning out? url: https://eyko.ai/ideas/audience-fatigue-detection/ description: Detect audience fatigue across paid, email, and content channels before response rates collapse. AI Playbooks flag saturation early. --- # Which audiences are quietly tuning out? Detect audience fatigue across paid, email, and content channels before response rates collapse. AI Playbooks flag saturation early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 audience segments scored across 3 channels. 8 show material fatigue; 3 at the rotation threshold; 2 tolerant (over-rotation would lose efficiency). Targeted rotation projects a 22-point response-rate lift on the fatigued cohort and frequency-cap relaxation on tolerant segments. ## FAQ See the page at https://eyko.ai/ideas/audience-fatigue-detection/ for frequently asked questions about this analysis. --- --- title: What micro-segments are hiding inside your standard audience splits? url: https://eyko.ai/ideas/audience-micro-segmentation/ description: Build behavior-based micro-segments that respond to different messaging. AI Playbooks discover the micro-segments your firmographic split misses. --- # What micro-segments are hiding inside your standard audience splits? Build behavior-based micro-segments that respond to different messaging. AI Playbooks discover the micro-segments your firmographic split misses. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 behavior-based micro-segments discovered inside 6 firmographic segments. 6 high-leverage micro-segments (>1,000 customers, response variance >30% from firmographic baseline). Targeted messaging projects a 32% lift in response rate over firmographic baselines. Cross-firmographic patterns include a high-velocity power-user segment spanning mid-market and enterprise. ## FAQ See the page at https://eyko.ai/ideas/audience-micro-segmentation/ for frequently asked questions about this analysis. --- --- title: Are your campaigns cannibalizing each other without you knowing? url: https://eyko.ai/ideas/campaign-cannibalization-detection/ description: Detect campaigns cannibalizing each other across audiences, channels, and timing. AI Playbooks surface overlap that erodes ROI. --- # Are your campaigns cannibalizing each other without you knowing? Detect campaigns cannibalizing each other across audiences, channels, and timing. AI Playbooks surface overlap that erodes ROI. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 active and recent campaigns scored. 6 pairs with material audience overlap; 3 pairs with conflicting messaging producing measurable ROI erosion. Total annualized erosion: $640K. Largest pair: demand-gen content campaign + ABM email campaign targeting same enterprise segment with different value propositions. ## FAQ See the page at https://eyko.ai/ideas/campaign-cannibalization-detection/ for frequently asked questions about this analysis. --- --- title: Will this campaign actually hit its ROI target? url: https://eyko.ai/ideas/campaign-roi-prediction/ description: Predict campaign ROI before full budget is spent using early-cycle signals and similar-campaign patterns. AI Playbooks call campaigns sooner. --- # Will this campaign actually hit its ROI target? Predict campaign ROI before full budget is spent using early-cycle signals and similar-campaign patterns. AI Playbooks call campaigns sooner. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 active campaigns scored at 30% completion. 4 underperforming (pause/rescope, saving $640K), 5 overperforming (scale, $1.8M incremental pipeline), 9 middle-range. Net impact: $2.4M improved campaign-cycle outcome through faster decisions. ## FAQ See the page at https://eyko.ai/ideas/campaign-roi-prediction/ for frequently asked questions about this analysis. --- --- title: Are your retention messages actually retaining the right customers? url: https://eyko.ai/ideas/churn-prevention-messaging/ description: Match retention messaging to churn-risk drivers per customer. AI Playbooks recommend the message angle most likely to retain each at-risk customer. --- # Are your retention messages actually retaining the right customers? Match retention messaging to churn-risk drivers per customer. AI Playbooks recommend the message angle most likely to retain each at-risk customer. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 at-risk customers scored and matched to dominant churn driver. 84% currently receiving generic discount messaging. Driver-matched lifted retention response 38% on product-experience drivers and 28% on competitive-consideration drivers. Annualized retained ARR projection: $3.2M. ## FAQ See the page at https://eyko.ai/ideas/churn-prevention-messaging/ for frequently asked questions about this analysis. --- --- title: What content is missing from your library that your audience actually needs? url: https://eyko.ai/ideas/content-gap-analysis/ description: Identify content gaps across personas, deal stages, and topics. AI Playbooks surface where content production should focus next. --- # What content is missing from your library that your audience actually needs? Identify content gaps across personas, deal stages, and topics. AI Playbooks surface where content production should focus next. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 248 content assets scored against 18 persona-stage-topic combinations. 6 combinations show material gaps with strong audience-demand signal. Largest gap: operations leader at stage 3 vs competitor X (22% of conversations, 0 dedicated assets). Closing top 6 gaps projects 24% lift in content-driven pipeline. ## FAQ See the page at https://eyko.ai/ideas/content-gap-analysis/ for frequently asked questions about this analysis. --- --- title: Which creative elements are actually driving the response? url: https://eyko.ai/ideas/creative-element-analysis/ description: Identify which creative elements (headline, image, CTA, layout) drive response across campaigns. AI Playbooks decompose creative impact. --- # Which creative elements are actually driving the response? Identify which creative elements (headline, image, CTA, layout) drive response across campaigns. AI Playbooks decompose creative impact. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184 creative units decomposed across 12 element dimensions. 4 element patterns correlate with material response lift. Action-headline lift weaker on enterprise audiences. Applying the patterns to future creative projects 24% lift in baseline response rate. ## FAQ See the page at https://eyko.ai/ideas/creative-element-analysis/ for frequently asked questions about this analysis. --- --- title: What is your customer likely to do next? url: https://eyko.ai/ideas/customer-journey-prediction/ description: Predict which journey path each prospect or customer will take next. AI Playbooks surface the most likely next step per persona and stage. --- # What is your customer likely to do next? Predict which journey path each prospect or customer will take next. AI Playbooks surface the most likely next step per persona and stage. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14,200 active prospects and customers scored. 1,840 forecast to progress within 14 days, 840 forecast to stall, 240 forecast to skip ahead to high-value conversion. Targeted intervention projects 22% lift in journey conversion against baseline. ## FAQ See the page at https://eyko.ai/ideas/customer-journey-prediction/ for frequently asked questions about this analysis. --- --- title: Which recipients will actually open and click? url: https://eyko.ai/ideas/email-engagement-prediction/ description: Predict email open and click probability per recipient and per message. AI Playbooks rank send targets by likely engagement. --- # Which recipients will actually open and click? Predict email open and click probability per recipient and per message. AI Playbooks rank send targets by likely engagement. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184,000 recipients scored for an upcoming campaign. Full-segment send projects 14% open / 2% click. Optimized send (top 62,000, 34% of list) projects 28% open / 5% click. Suppressing low-probability tail protects deliverability and lifts per-send engagement. ## FAQ See the page at https://eyko.ai/ideas/email-engagement-prediction/ for frequently asked questions about this analysis. --- --- title: When did your engagement signal shift? url: https://eyko.ai/ideas/engagement-anomaly-detection/ description: Detect unusual shifts in marketing engagement across channels, audiences, and campaigns. AI Playbooks flag anomalies in real time. --- # When did your engagement signal shift? Detect unusual shifts in marketing engagement across channels, audiences, and campaigns. AI Playbooks flag anomalies in real time. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 channel-audience combinations scored over 30 days. 12 anomalies detected: 4 technical-deliverability, 3 audience-fatigue, 3 competitive-event-driven, 2 seasonal patterns. Classification routing projects 60% faster response than aggregate weekly review. ## FAQ See the page at https://eyko.ai/ideas/engagement-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Will this event actually deliver the pipeline you booked it for? url: https://eyko.ai/ideas/event-roi-prediction/ description: Forecast event ROI before the event runs using attendee, format, and historical event patterns. AI Playbooks size pipeline impact early. --- # Will this event actually deliver the pipeline you booked it for? Forecast event ROI before the event runs using attendee, format, and historical event patterns. AI Playbooks size pipeline impact early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 upcoming events forecast over next 2 quarters. 4 strong-ROI (scale up), 3 weak-ROI (scale back or repurpose), 5 standard (hold). Adjusting commitments projects $1.8M incremental pipeline-per-event-dollar across the 7 changed events. ## FAQ See the page at https://eyko.ai/ideas/event-roi-prediction/ for frequently asked questions about this analysis. --- --- title: Will the funnel actually convert at the rate the plan assumed? url: https://eyko.ai/ideas/funnel-conversion-prediction/ description: Predict funnel conversion rates by stage and segment using early-stage signals. AI Playbooks flag conversion drops before quarter end. --- # Will the funnel actually convert at the rate the plan assumed? Predict funnel conversion rates by stage and segment using early-stage signals. AI Playbooks flag conversion drops before quarter end. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Funnel conversion predicted across 5 stages and 4 segments for current quarter. 2 material drops flagged: mid-market MQL-to-opportunity down 22%, enterprise opportunity-to-close down 14%. Aggregate funnel still looks normal. Forecast quarter impact: $2.4M lost pipeline if uncorrected. ## FAQ See the page at https://eyko.ai/ideas/funnel-conversion-prediction/ for frequently asked questions about this analysis. --- --- title: Will this influencer actually move the pipeline? url: https://eyko.ai/ideas/influencer-impact-prediction/ description: Forecast influencer campaign impact before commitment using audience-fit and engagement-quality signals. AI Playbooks size pipeline before spend. --- # Will this influencer actually move the pipeline? Forecast influencer campaign impact before commitment using audience-fit and engagement-quality signals. AI Playbooks size pipeline before spend. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 candidate influencer deals scored across next 2 quarters. 5 strong-impact (commit), 7 weak-impact (pass), 6 standard. Reallocating budget from weak to strong candidates projects $1.2M incremental pipeline. ## FAQ See the page at https://eyko.ai/ideas/influencer-impact-prediction/ for frequently asked questions about this analysis. --- --- title: Where does the journey credit actually belong? url: https://eyko.ai/ideas/journey-attribution-mapping/ description: Map attribution credit across the customer journey using path patterns and outcome correlation. AI Playbooks distribute credit by contribution. --- # Where does the journey credit actually belong? Map attribution credit across the customer journey using path patterns and outcome correlation. AI Playbooks distribute credit by contribution. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 1,840 converted opportunities mapped over 4 quarters. Multi-touch attribution shifts credit materially: paid search 38% to 22%, content 8% to 24%, events 12% to 18%, outbound 22% to 14%. 34% total credit redistribution. ## FAQ See the page at https://eyko.ai/ideas/journey-attribution-mapping/ for frequently asked questions about this analysis. --- --- title: Will this landing page actually convert the traffic? url: https://eyko.ai/ideas/landing-page-conversion-prediction/ description: Predict landing page conversion rates from page-element patterns and visitor-fit signals. AI Playbooks flag underperformers before traffic spend. --- # Will this landing page actually convert the traffic? Predict landing page conversion rates from page-element patterns and visitor-fit signals. AI Playbooks flag underperformers before traffic spend. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 22 landing pages forecast across upcoming campaigns. 6 strong (scale spend), 8 weak (apply element-level fixes before more spend), 8 standard. Element-level fixes project 38% aggregate campaign conversion lift. ## FAQ See the page at https://eyko.ai/ideas/landing-page-conversion-prediction/ for frequently asked questions about this analysis. --- --- title: Which leads will sales actually close? url: https://eyko.ai/ideas/lead-quality-scoring/ description: Score lead quality at MQL handoff using fit and intent signals. AI Playbooks prioritize sales follow-up by likely conversion. --- # Which leads will sales actually close? Score lead quality at MQL handoff using fit and intent signals. AI Playbooks prioritize sales follow-up by likely conversion. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14,200 leads scored over 90 days. 1,840 high-fit-high-intent (24% close rate), 3,640 high-fit-low-intent (nurture), 2,140 no-fit-high-intent (light-touch), 6,580 low-priority. Routing changes project 42% sales-pipeline conversion lift. ## FAQ See the page at https://eyko.ai/ideas/lead-quality-scoring/ for frequently asked questions about this analysis. --- --- title: Who looks like your best customers? url: https://eyko.ai/ideas/lookalike-audience-discovery/ description: Discover lookalike audiences that mirror your highest-value customers. AI Playbooks build lookalikes from full customer signals, not platform defaults. --- # Who looks like your best customers? Discover lookalike audiences that mirror your highest-value customers. AI Playbooks build lookalikes from full customer signals, not platform defaults. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Deep seed built from 240 top-quartile CLV customers. 8,400 lookalike prospect accounts surfaced. 2,200 not in current marketing-reach. Adding 2,200 to acquisition projects $3.8M incremental pipeline. ## FAQ See the page at https://eyko.ai/ideas/lookalike-audience-discovery/ for frequently asked questions about this analysis. --- --- title: Is the marketing budget pacing to the pipeline target? url: https://eyko.ai/ideas/marketing-budget-pacing-prediction/ description: Predict marketing budget pacing in flight against pipeline target. AI Playbooks flag over-spend and under-pace before quarter end. --- # Is the marketing budget pacing to the pipeline target? Predict marketing budget pacing in flight against pipeline target. AI Playbooks flag over-spend and under-pace before quarter end. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 marketing channels paced at week 6 of 13-week quarter. 2 over-pacing ($240K over), 3 on-pace, 3 under-spend with pipeline shortfall. Aggregate: 4% over-spend, 8% pipeline-target shortfall. Rebalance projects closing the gap. ## FAQ See the page at https://eyko.ai/ideas/marketing-budget-pacing-prediction/ for frequently asked questions about this analysis. --- --- title: What is each marketing channel actually contributing? url: https://eyko.ai/ideas/marketing-mix-modeling/ description: Model the marketing mix and measure channel contribution to pipeline. AI Playbooks decompose channel impact with diminishing-return curves. --- # What is each marketing channel actually contributing? Model the marketing mix and measure channel contribution to pipeline. AI Playbooks decompose channel impact with diminishing-return curves. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 channels modeled over 8 quarters. 3 under-spent (high marginal return), 2 saturated (low marginal return), 3 at optimal spend. Reallocating $480K from saturated to under-spent channels projects $1.6M incremental pipeline. ## FAQ See the page at https://eyko.ai/ideas/marketing-mix-modeling/ for frequently asked questions about this analysis. --- --- title: Will your revenue actually land where the plan says it will? url: https://eyko.ai/ideas/revenue-forecasting/ description: Forecast total revenue across new business, expansion, and renewal streams using evidence-based signals. AI Playbooks unify the revenue view. --- # Will your revenue actually land where the plan says it will? Forecast total revenue across new business, expansion, and renewal streams using evidence-based signals. AI Playbooks unify the revenue view. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Next-quarter revenue unified across 4 streams. Aggregated stream forecasts: $42M. Unified evidence-based: $38.4M. Gap: $3.6M compounded optimism, primarily in expansion ($1.8M) and new-business enterprise ($1.4M). Unified view projects 92% confidence of landing within $2M of $38.4M. ## FAQ See the page at https://eyko.ai/ideas/revenue-forecasting/ for frequently asked questions about this analysis. --- --- title: Where is your revenue engine quietly misaligned? url: https://eyko.ai/ideas/revenue-operations-alignment/ description: Detect alignment gaps between sales, marketing, and customer success that produce revenue friction. AI Playbooks surface specific drivers. --- # Where is your revenue engine quietly misaligned? Detect alignment gaps between sales, marketing, and customer success that produce revenue friction. AI Playbooks surface specific drivers. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 inter-team handoffs scored. 3 material gaps: MQL/SQL definition mismatch ($2.4M pipeline drag), sales-to-CS expansion context loss ($1.8M unrealized expansion), CS-to-sales renewal-timing handoff ($1.2M slip). Targeted process fixes project $5.4M in annualized revenue recovery. ## FAQ See the page at https://eyko.ai/ideas/revenue-operations-alignment/ for frequently asked questions about this analysis. --- --- title: Which sales enablement content actually moves the close rate? url: https://eyko.ai/ideas/sales-enablement-scoring/ description: Score sales enablement content and training by its actual impact on close rate. AI Playbooks rank enablement assets by revenue lift. --- # Which sales enablement content actually moves the close rate? Score sales enablement content and training by its actual impact on close rate. AI Playbooks rank enablement assets by revenue lift. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 248 enablement assets and 12 training programs scored against 18 months of deal outcomes. 38 assets show positive ROI; 84 show no measurable impact. Top asset correlates with 18-point close-rate lift. 4 of 12 training programs show measurable cohort lift. Retire-and-reinvest projects a 22% lift in enablement-driven close-rate impact. ## FAQ See the page at https://eyko.ai/ideas/sales-enablement-scoring/ for frequently asked questions about this analysis. --- --- title: How does seasonality actually shape your sales cycle? url: https://eyko.ai/ideas/seasonal-sales-prediction/ description: Detect seasonal patterns in sales cycle timing, deal flow, and segment behavior. AI Playbooks adjust forecasts for the cycle. --- # How does seasonality actually shape your sales cycle? Detect seasonal patterns in sales cycle timing, deal flow, and segment behavior. AI Playbooks adjust forecasts for the cycle. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 months of deal data across 8 segments analyzed. 4 segments follow calendar pattern, 3 follow fiscal-year offset, 1 follows event-driven. Current calendar-year assumption produces 14% forecast variance attributable to seasonality misalignment. Updating coefficients projects forecast accuracy lift across affected segments. ## FAQ See the page at https://eyko.ai/ideas/seasonal-sales-prediction/ for frequently asked questions about this analysis. --- --- title: Where is the unsold opportunity inside your existing accounts? url: https://eyko.ai/ideas/white-space-analysis/ description: Identify expansion white space inside existing accounts by product, use case, and stakeholder. AI Playbooks rank account-level opportunity. --- # Where is the unsold opportunity inside your existing accounts? Identify expansion white space inside existing accounts by product, use case, and stakeholder. AI Playbooks rank account-level opportunity. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active enterprise accounts scored. Total white space: $84M addressable opportunity. 84 accounts: use-case extension. 64: product attach. 38: adjacent-stakeholder reach. Top 24 accounts: $24M concentrated opportunity for dedicated motion. ## FAQ See the page at https://eyko.ai/ideas/white-space-analysis/ for frequently asked questions about this analysis. --- --- title: Where is your win rate quietly shifting? url: https://eyko.ai/ideas/win-rate-trend-detection/ description: Detect win-rate shifts across segments, reps, and competitors before they surface in quarter-end results. AI Playbooks flag trends early. --- # Where is your win rate quietly shifting? Detect win-rate shifts across segments, reps, and competitors before they surface in quarter-end results. AI Playbooks flag trends early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Win-rate trajectories across 8 segments, 84 reps, and 12 competitors scored using past 12 months. 6 material trend shifts flagged: 2 segment-level, 3 rep-cohort, 1 competitive landscape. Continuous detection projects catching shifts 6-8 weeks before quarterly reporting would surface them. ## FAQ See the page at https://eyko.ai/ideas/win-rate-trend-detection/ for frequently asked questions about this analysis. --- --- title: Which invoices will actually become exceptions? url: https://eyko.ai/ideas/accounts-payable-exception-prediction/ description: Predict accounts payable exceptions before invoice processing using vendor and PO signals. AI Playbooks route exceptions early. --- # Which invoices will actually become exceptions? Predict accounts payable exceptions before invoice processing using vendor and PO signals. AI Playbooks route exceptions early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12,400 invoices scored for current month AP processing. 840 high-risk (pre-route), 1,600 medium-risk (additional validation), 9,960 low-risk (standard). Pre-routing projects 4.2 days saved per exception and 28% close-period AP burden reduction. ## FAQ See the page at https://eyko.ai/ideas/accounts-payable-exception-prediction/ for frequently asked questions about this analysis. --- --- title: Are the accruals going to land where you booked them? url: https://eyko.ai/ideas/accrual-accuracy-forecasting/ description: Forecast accrual accuracy by category using historical actuals and current-period signals. AI Playbooks tighten close estimates. --- # Are the accruals going to land where you booked them? Forecast accrual accuracy by category using historical actuals and current-period signals. AI Playbooks tighten close estimates. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 accrual categories scored for current close. 4 material miss (>10%), 6 moderate miss (5-10%), 8 on-estimate. Refining the 4 material-miss estimates projects $1.8M true-up reduction and tighter forecast accuracy. ## FAQ See the page at https://eyko.ai/ideas/accrual-accuracy-forecasting/ for frequently asked questions about this analysis. --- --- title: Will the audit fieldwork actually go cleanly? url: https://eyko.ai/ideas/audit-readiness-prediction/ description: Predict audit readiness gaps before fieldwork using control, evidence, and reconciliation signals. AI Playbooks flag exposure early. --- # Will the audit fieldwork actually go cleanly? Predict audit readiness gaps before fieldwork using control, evidence, and reconciliation signals. AI Playbooks flag exposure early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 in-scope controls and 180 reconciliation accounts predicted 90 days before fieldwork. 18 high-risk (remediate), 24 medium-risk (evidence collection), 198 low-risk. Pre-fieldwork remediation projects 60% finding reduction vs prior year. ## FAQ See the page at https://eyko.ai/ideas/audit-readiness-prediction/ for frequently asked questions about this analysis. --- --- title: When will the backlog actually become revenue? url: https://eyko.ai/ideas/backlog-revenue-prediction/ description: Predict when backlog converts to revenue using delivery, milestone, and cycle signals. AI Playbooks size period-by-period conversion. --- # When will the backlog actually become revenue? Predict when backlog converts to revenue using delivery, milestone, and cycle signals. AI Playbooks size period-by-period conversion. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $48M in-flight backlog forecast over 4 quarters. Conversion: $14M Q1, $13M Q2, $11M Q3, $8M Q4 with $2M slip risk. 18 contracts at-risk-of-slip. Refining against booking-date assumption shifts $3.2M from current to next quarter. ## FAQ See the page at https://eyko.ai/ideas/backlog-revenue-prediction/ for frequently asked questions about this analysis. --- --- title: Will this capital actually return what the case projected? url: https://eyko.ai/ideas/capex-return-prediction/ description: Predict CapEx return per investment before approval using historical project and operational signals. AI Playbooks rank capital allocation. --- # Will this capital actually return what the case projected? Predict CapEx return per investment before approval using historical project and operational signals. AI Playbooks rank capital allocation. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 active proposals totaling $24M scored. 5 over-projected (challenge), 3 well-projected (fast-track), 6 aligned. Reallocating against actual-likely-return projects $4.2M incremental 5-year return at same total CapEx envelope. ## FAQ See the page at https://eyko.ai/ideas/capex-return-prediction/ for frequently asked questions about this analysis. --- --- title: What is the carbon picture you actually have to disclose? url: https://eyko.ai/ideas/carbon-emissions-estimation/ description: Estimate carbon emissions across Scope 1, 2, and 3 using operational and spend signals. AI Playbooks anchor disclosure reporting. --- # What is the carbon picture you actually have to disclose? Estimate carbon emissions across Scope 1, 2, and 3 using operational and spend signals. AI Playbooks anchor disclosure reporting. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Trailing 12-month emissions estimate: Scope 1 14,200 tCO2e, Scope 2 38,400 tCO2e (location-based), Scope 3 184,200 tCO2e. Current-year trajectory: 6% reduction vs prior year, driven primarily by Scope 2 renewable-energy purchasing. ## FAQ See the page at https://eyko.ai/ideas/carbon-emissions-estimation/ for frequently asked questions about this analysis. --- --- title: Contract Compliance Monitoring | eyko Ideas url: https://eyko.ai/ideas/contract-compliance-monitoring/ description: Find where billing has fallen below contracted terms and recover the gap before it compounds. --- # Contract Compliance Monitoring Contract compliance monitoring reads each customer's billed rates against their contracted terms every cycle and flags where billing has fallen below the agreement. eyko attributes the gap to a cause, an escalation that was never applied or a waiver honored past its end date, and recommends the correction before the leakage compounds across renewals. This is an Order-to-Cash Idea page, in the Revenue leakage and margin protection section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example 14 accounts are billing below their contracted terms, a 0.6M annual gap. The largest cause is escalations that were agreed but never applied, followed by discount waivers still being honored past their end date. The recommended action is to apply the contracted escalations from the next billing cycle, end the expired waivers at renewal, and put a monthly compliance check in place. Most of the 0.6M is recoverable this year. ## FAQ **What is contract compliance monitoring?** Contract compliance monitoring reads each customer's billed rates against their contracted terms every cycle and flags where billing has fallen below the agreement. eyko attributes the gap to a cause, such as an escalation that was never applied or a waiver honored past its end date, and recommends the correction before the leakage compounds across renewals. **What data does this Playbook need?** It reads your contract terms alongside your billing and invoicing records and the AR detail from your ERP, so it can compare what was signed against what was billed line by line. It works with systems such as SAP, Oracle, NetSuite, and Salesforce, and there is no separate data project to start. **How is this different from a contract management system?** A contract management system stores the terms; it does not check whether billing matches them. The Playbook reconciles billed rates against contracted rates every cycle, quantifies the gap, attributes it to a cause, and ranks the accounts by recoverable amount, so the leakage surfaces continuously rather than at audit or renewal. **Can it recommend the correction, not just flag the gap?** Yes. Alongside each gap it recommends the specific move, applying a contracted escalation from the next cycle, ending an expired waiver at renewal, or routing an exception through approval, and orders them by how fast the cash comes back. --- --- title: Where are the cost reductions that will not break the business? url: https://eyko.ai/ideas/cost-optimization-modeling/ description: Model cost optimization opportunities across the business using spend, performance, and benchmark signals. AI Playbooks rank cost reductions. --- # Where are the cost reductions that will not break the business? Model cost optimization opportunities across the business using spend, performance, and benchmark signals. AI Playbooks rank cost reductions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 cost categories totaling $84M annualized spend modeled. 6 high-yield-low-risk ($7.2M savings), 8 moderate-risk ($4.8M with mitigation), 4 do-not-cut, 6 at benchmark. Total achievable: $12M annualized savings without operational damage. ## FAQ See the page at https://eyko.ai/ideas/cost-optimization-modeling/ for frequently asked questions about this analysis. --- --- title: What is the FX exposure you actually carry? url: https://eyko.ai/ideas/currency-exposure-prediction/ description: Predict currency exposure and FX P&L impact across operations using transaction and forecast signals. AI Playbooks size exposure early. --- # What is the FX exposure you actually carry? Predict currency exposure and FX P&L impact across operations using transaction and forecast signals. AI Playbooks size exposure early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 7 currencies forecast over 4 quarters. EUR up 22% (hedge), GBP steady, JPY down 14%. Aggregate forecast FX P&L impact: $1.6M cost at current rates. Proactive EUR hedging projects $980K addressable before close. ## FAQ See the page at https://eyko.ai/ideas/currency-exposure-prediction/ for frequently asked questions about this analysis. --- --- title: Can the data actually carry the decision? url: https://eyko.ai/ideas/data-quality-scoring/ description: Score financial data quality across systems using completeness, accuracy, and consistency signals. AI Playbooks flag issues before they impact close. --- # Can the data actually carry the decision? Score financial data quality across systems using completeness, accuracy, and consistency signals. AI Playbooks flag issues before they impact close. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 financial data domains scored over 90 days. 4 material-risk, 6 moderate-risk, 4 high-quality. Aggregate score: 84/100 vs target of 92. The 4 material-risk domains drive 68% of the score gap. ## FAQ See the page at https://eyko.ai/ideas/data-quality-scoring/ for frequently asked questions about this analysis. --- --- title: Will the cash actually cover the debt service? url: https://eyko.ai/ideas/debt-service-forecasting/ description: Forecast debt service coverage and timing across the capital structure using cash, covenant, and rate signals. AI Playbooks anchor refinancing planning. --- # Will the cash actually cover the debt service? Forecast debt service coverage and timing across the capital structure using cash, covenant, and rate signals. AI Playbooks anchor refinancing planning. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6 credit facilities forecast over 4 quarters. 2 tightening toward covenant minimum, 4 comfortable. Forecast annual debt service: $42M including $4M rate-driven increase. Refinancing one variable-rate facility projects $2.4M exposure addressable before next test. ## FAQ See the page at https://eyko.ai/ideas/debt-service-forecasting/ for frequently asked questions about this analysis. --- --- title: Will the department actually land where it planned? url: https://eyko.ai/ideas/departmental-spend-prediction/ description: Predict departmental spend trajectories against budget using commitment and burn-rate signals. AI Playbooks flag over-spend before quarter end. --- # Will the department actually land where it planned? Predict departmental spend trajectories against budget using commitment and burn-rate signals. AI Playbooks flag over-spend before quarter end. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 departments forecast at week 6 of 13-week quarter. 3 over-spend, 5 under-spend, 10 on-budget. Aggregate: 2.4% over-budget if uncorrected ($1.2M). Intervention on over-spending departments projects $840K addressable before quarter end. ## FAQ See the page at https://eyko.ai/ideas/departmental-spend-prediction/ for frequently asked questions about this analysis. --- --- title: Can the ESG numbers actually be audited? url: https://eyko.ai/ideas/esg-metrics-consolidation/ description: Consolidate ESG metrics across data sources for disclosure-grade reporting. AI Playbooks anchor traceable evidence. --- # Can the ESG numbers actually be audited? Consolidate ESG metrics across data sources for disclosure-grade reporting. AI Playbooks anchor traceable evidence. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84 ESG metrics consolidated across 6 frameworks (GRI, SASB, TCFD, ESRS, CDP, ISSB). 76 disclosure-grade, 6 traceability gaps, 2 methodology-inconsistency. Year-over-year comparability now anchored across all 84 metrics. ## FAQ See the page at https://eyko.ai/ideas/esg-metrics-consolidation/ for frequently asked questions about this analysis. --- --- title: Which expenses do not look like the rest? url: https://eyko.ai/ideas/expense-anomaly-detection/ description: Detect anomalous expense patterns across categories, vendors, and employees. AI Playbooks flag policy and fraud signals. --- # Which expenses do not look like the rest? Detect anomalous expense patterns across categories, vendors, and employees. AI Playbooks flag policy and fraud signals. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84,000 expenses scored over past quarter. 240 anomalies detected: 84 split transactions, 62 atypical vendor concentration, 48 off-policy category mixes, 32 high-confidence fraud signals, 14 false positives. Anomaly routing projects 4x value per review hour vs random sampling. ## FAQ See the page at https://eyko.ai/ideas/expense-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Will the close actually land on day-5? url: https://eyko.ai/ideas/financial-close-prediction/ description: Predict financial close completion risk using task progress, reconciliation, and dependency signals. AI Playbooks flag close-day risk early. --- # Will the close actually land on day-5? Predict financial close completion risk using task progress, reconciliation, and dependency signals. AI Playbooks flag close-day risk early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Close completion risk forecast at day-3 of day-5 close. 8 tasks at risk, 12 reconciliations at risk, 4 review-and-approval bottlenecks. Aggregate forecast: 1.4 day slip if uncorrected. Intervention projects landing within 0.4 day of target. ## FAQ See the page at https://eyko.ai/ideas/financial-close-prediction/ for frequently asked questions about this analysis. --- --- title: When did the financial KPI actually shift? url: https://eyko.ai/ideas/financial-kpi-anomaly-detection/ description: Detect statistically significant shifts in financial KPIs across periods and entities. AI Playbooks classify the likely cause early. --- # When did the financial KPI actually shift? Detect statistically significant shifts in financial KPIs across periods and entities. AI Playbooks classify the likely cause early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6 KPIs scored at 4 entity-segment breakdowns over 60 days. 14 anomalies detected: 5 mix shifts, 4 cost-pressure shifts, 3 volume shifts, 2 one-time events. Routing projects 4 weeks of earlier visibility than monthly review. ## FAQ See the page at https://eyko.ai/ideas/financial-kpi-anomaly-detection/ for frequently asked questions about this analysis. --- --- title: Where is the financial risk actually concentrated? url: https://eyko.ai/ideas/financial-risk-scoring/ description: Score financial risk across credit, liquidity, market, and operational dimensions. AI Playbooks rank exposures. --- # Where is the financial risk actually concentrated? Score financial risk across credit, liquidity, market, and operational dimensions. AI Playbooks rank exposures. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output Risk scored across 4 dimensions over 90 days. Aggregate: credit 62 (elevated), liquidity 78 (acceptable), market 68 (elevated), operational 82 (low). Concentration: 18 customers drive 64% of credit exposure; EUR drives 58% of market exposure. Targeted mitigation projects $4.2M addressable in 60 days. ## FAQ See the page at https://eyko.ai/ideas/financial-risk-scoring/ for frequently asked questions about this analysis. --- --- title: What does the fraud signal actually look like? url: https://eyko.ai/ideas/fraud-detection/ description: Detect transaction fraud signals across business processes using pattern and behavioral signals. AI Playbooks route high-confidence flags. --- # What does the fraud signal actually look like? Detect transaction fraud signals across business processes using pattern and behavioral signals. AI Playbooks route high-confidence flags. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240,000 transactions scored over past quarter. 84 high-confidence fraud-pattern flags: 24 vendor-related, 18 expense fraud, 22 AP collusion, 12 payroll fraud, 8 other. Investigation routing projects 5x value per investigation hour vs prior baseline. ## FAQ See the page at https://eyko.ai/ideas/fraud-detection/ for frequently asked questions about this analysis. --- --- title: Where is gross margin actually heading? url: https://eyko.ai/ideas/gross-margin-forecasting/ description: Forecast gross margin across products and segments using cost, mix, and pricing signals. AI Playbooks flag compression before quarter end. --- # Where is gross margin actually heading? Forecast gross margin across products and segments using cost, mix, and pricing signals. AI Playbooks flag compression before quarter end. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 18 products and 4 segments forecast at week 6 of 13-week quarter. 4 products compressed >200bps, 5 stable, 9 slight lift. Aggregate: 80bps compression vs prior quarter driven primarily by input cost shifts. Mitigation projects 50bps recoverable before close. ## FAQ See the page at https://eyko.ai/ideas/gross-margin-forecasting/ for frequently asked questions about this analysis. --- --- title: How much inflation can the business actually absorb? url: https://eyko.ai/ideas/inflation-margin-sensitivity/ description: Model inflation impact on margin by category and product using cost, pricing, and pass-through signals. AI Playbooks recommend response. --- # How much inflation can the business actually absorb? Model inflation impact on margin by category and product using cost, pricing, and pass-through signals. AI Playbooks recommend response. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 22 product-categories and 4 segments modeled. Forecast cost growth: 6% blended with 12% concentration in 4 key materials. 14 product-segment combinations can absorb 4-8% price increase. Recommended pricing response projects 60% of inflation impact addressable. ## FAQ See the page at https://eyko.ai/ideas/inflation-margin-sensitivity/ for frequently asked questions about this analysis. --- --- title: Where are the intercompany positions not lining up? url: https://eyko.ai/ideas/intercompany-reconciliation-anomalies/ description: Detect intercompany reconciliation anomalies before close using transaction matching and pattern signals. AI Playbooks resolve early. --- # Where are the intercompany positions not lining up? Detect intercompany reconciliation anomalies before close using transaction matching and pattern signals. AI Playbooks resolve early. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 84,000 intercompany transactions scored over 60 days. 240 anomalies: 108 timing drift, 72 currency drift, 48 categorization drift, 12 high-confidence break signals. Pre-close resolution projects 60% close-day reconciliation burden reduction. ## FAQ See the page at https://eyko.ai/ideas/intercompany-reconciliation-anomalies/ for frequently asked questions about this analysis. --- --- title: Is the media plan buying the right pipeline? url: https://eyko.ai/ideas/media-buying-optimization/ description: Optimize media buys across channels using cost-per-pipeline-dollar signals. AI Playbooks rebalance plans before commitment. --- # Is the media plan buying the right pipeline? Optimize media buys across channels using cost-per-pipeline-dollar signals. AI Playbooks rebalance plans before commitment. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 placements optimized across next quarter. 7 strong (scale up), 6 weak (cut or restructure), 11 standard. Rebalancing projects $1.4M incremental pipeline at the same total media spend. ## FAQ See the page at https://eyko.ai/ideas/media-buying-optimization/ for frequently asked questions about this analysis. --- --- title: When should each payment actually go out? url: https://eyko.ai/ideas/payment-timing-optimization/ description: Optimize payment timing across vendors using cash, discount, and supplier-impact signals. AI Playbooks recommend per-payment timing. --- # When should each payment actually go out? Optimize payment timing across vendors using cash, discount, and supplier-impact signals. AI Playbooks recommend per-payment timing. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4,200 invoices optimized for upcoming payment run. 320 accelerated ($164K discount capturable), 480 held to net-due (cash protection), 3,400 standard. Combined recommendation projects $164K captured discount and $1.2M cash preserved at month-end. ## FAQ See the page at https://eyko.ai/ideas/payment-timing-optimization/ for frequently asked questions about this analysis. --- --- title: What pipeline will marketing actually deliver? url: https://eyko.ai/ideas/pipeline-contribution-forecasting/ description: Forecast pipeline contribution per marketing source using full-funnel signals. AI Playbooks size source-level pipeline before the quarter closes. --- # What pipeline will marketing actually deliver? Forecast pipeline contribution per marketing source using full-funnel signals. AI Playbooks size source-level pipeline before the quarter closes. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 marketing sources forecast at week 6 of 13-week quarter. 3 over-pacing, 2 under-pacing, 3 on-pace. Aggregate looks on-target but source mix is shifting. Rebalancing projects $1.6M incremental on-target pipeline. ## FAQ See the page at https://eyko.ai/ideas/pipeline-contribution-forecasting/ for frequently asked questions about this analysis. --- --- title: Will the procurement initiative actually deliver the savings? url: https://eyko.ai/ideas/procurement-roi-prediction/ description: Predict procurement initiative ROI before commitment using historical savings and category signals. AI Playbooks rank initiatives. --- # Will the procurement initiative actually deliver the savings? Predict procurement initiative ROI before commitment using historical savings and category signals. AI Playbooks rank initiatives. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 active initiatives totaling $84M addressable spend scored. 5 over-projected (challenge), 3 well-projected (fast-track), 6 aligned. Reallocating against actual-likely-savings projects $4.8M incremental annualized savings. ## FAQ See the page at https://eyko.ai/ideas/procurement-roi-prediction/ for frequently asked questions about this analysis. --- --- title: Which receivables are actually at risk of slipping? url: https://eyko.ai/ideas/receivables-risk-prediction/ description: Predict customer payment risk per invoice using payment, engagement, and external signals. AI Playbooks route collection priority. --- # Which receivables are actually at risk of slipping? Predict customer payment risk per invoice using payment, engagement, and external signals. AI Playbooks route collection priority. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output $42M outstanding receivables across 1,840 invoices scored. 240 high-risk (fast-track), 480 medium-risk (tightened follow-up), 1,120 low-risk (standard). Targeted collection effort projects $4.8M addressable within 60 days. ## FAQ See the page at https://eyko.ai/ideas/receivables-risk-prediction/ for frequently asked questions about this analysis. --- --- title: Is the regulatory posture actually defensible? url: https://eyko.ai/ideas/regulatory-compliance-scoring/ description: Score regulatory compliance posture and gaps across requirements using control, evidence, and incident signals. AI Playbooks flag exposure. --- # Is the regulatory posture actually defensible? Score regulatory compliance posture and gaps across requirements using control, evidence, and incident signals. AI Playbooks flag exposure. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 regulatory frameworks and 480 controls scored over 90 days. 28 high-risk (remediate), 84 medium-risk, 368 low-risk. Aggregate posture: 78/100 vs target 90. Remediation projects posture lift of 14 points and 70% finding reduction. ## FAQ See the page at https://eyko.ai/ideas/regulatory-compliance-scoring/ for frequently asked questions about this analysis. --- --- title: When does the revenue actually qualify for recognition? url: https://eyko.ai/ideas/revenue-recognition-forecasting/ description: Forecast revenue recognition timing per contract using delivery, milestone, and obligation signals. AI Playbooks anchor period revenue. --- # When does the revenue actually qualify for recognition? Forecast revenue recognition timing per contract using delivery, milestone, and obligation signals. AI Playbooks anchor period revenue. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 240 contracts and 840 obligations forecast for current period. 48 at risk of slipping, 92 on-target, 700 on-schedule. Current-period forecast: $124M with $4.2M shift between periods vs booking-date assumption. ## FAQ See the page at https://eyko.ai/ideas/revenue-recognition-forecasting/ for frequently asked questions about this analysis. --- --- title: Which scenario actually moves the business the most? url: https://eyko.ai/ideas/scenario-planning/ description: Model scenario outcomes across financial and operational variables using sensitivity and correlation signals. AI Playbooks rank actions. --- # Which scenario actually moves the business the most? Model scenario outcomes across financial and operational variables using sensitivity and correlation signals. AI Playbooks rank actions. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 financial and 6 operational variables modeled over 4-quarter horizon. 18 scenario clusters surfaced. 4 highest-impact actions: pricing pass-through, supplier consolidation, working capital tightening, hiring deferral. Combined impact: $14M EBITDA swing. ## FAQ See the page at https://eyko.ai/ideas/scenario-planning/ for frequently asked questions about this analysis. --- --- title: When should the seasonal campaigns actually run? url: https://eyko.ai/ideas/seasonal-campaign-planning/ description: Plan seasonal campaigns using historical seasonal patterns and current-year signals. AI Playbooks size seasonal lift before the season runs. --- # When should the seasonal campaigns actually run? Plan seasonal campaigns using historical seasonal patterns and current-year signals. AI Playbooks size seasonal lift before the season runs. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 4 segments planned over 12 months. Enterprise peak 3 weeks earlier than calendar baseline; mid-market on-baseline; SMB 2 weeks later. Aligning timing to forecast peaks projects 32% lift vs calendar-based plan. ## FAQ See the page at https://eyko.ai/ideas/seasonal-campaign-planning/ for frequently asked questions about this analysis. --- --- title: When is each recipient actually open to engage? url: https://eyko.ai/ideas/send-time-optimization/ description: Optimize email and notification send times per recipient using engagement-history signals. AI Playbooks lift open and click rates. --- # When is each recipient actually open to engage? Optimize email and notification send times per recipient using engagement-history signals. AI Playbooks lift open and click rates. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 184,000 recipients optimized for upcoming campaign. Per-recipient timing projects 22% open-rate lift and 18% click-rate lift vs single 10am Tuesday baseline. Sends spread across 6 distinct engagement windows. ## FAQ See the page at https://eyko.ai/ideas/send-time-optimization/ for frequently asked questions about this analysis. --- --- title: Where is your share of voice actually shifting? url: https://eyko.ai/ideas/share-of-voice-benchmarking/ description: Benchmark brand share of voice against competitors across owned, earned, and paid signals. AI Playbooks track share-of-voice trajectory. --- # Where is your share of voice actually shifting? Benchmark brand share of voice against competitors across owned, earned, and paid signals. AI Playbooks track share-of-voice trajectory. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 6 competitors benchmarked over 90 days across 3 channels and 3 segments. 2 shifts flagged: paid-search share down 6 points (enterprise), earned-media share up 4 points (all segments). Quarter-end forecast: net 2-point loss if uncorrected. ## FAQ See the page at https://eyko.ai/ideas/share-of-voice-benchmarking/ for frequently asked questions about this analysis. --- --- title: Does the sustainability initiative actually pay back? url: https://eyko.ai/ideas/sustainability-roi-modeling/ description: Model sustainability investment ROI alongside financial return using cost, regulatory, and stakeholder signals. AI Playbooks rank initiatives. --- # Does the sustainability initiative actually pay back? Model sustainability investment ROI alongside financial return using cost, regulatory, and stakeholder signals. AI Playbooks rank initiatives. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 12 sustainability initiatives totaling $32M modeled. 4 strong combined-ROI (fund at full scope), 3 strong-sustainability-weak-financial (scope adjustment), 5 moderate. Prioritized $24M projects $6.8M financial return over 5 years and 18% emissions reduction. ## FAQ See the page at https://eyko.ai/ideas/sustainability-roi-modeling/ for frequently asked questions about this analysis. --- --- title: Where is the tail spend actually leaking value? url: https://eyko.ai/ideas/tail-spend-detection/ description: Detect and consolidate tail spend across vendors and categories using spend pattern and vendor signals. AI Playbooks rank consolidation. --- # Where is the tail spend actually leaking value? Detect and consolidate tail spend across vendors and categories using spend pattern and vendor signals. AI Playbooks rank consolidation. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 2,400 vendors and 84,000 transactions scored over past year. Total tail spend: $32M against 1,800 vendors below strategic threshold. 24 consolidation opportunities surfaced. Targeted consolidation projects $4.8M annualized savings. ## FAQ See the page at https://eyko.ai/ideas/tail-spend-detection/ for frequently asked questions about this analysis. --- --- title: What is the tax liability actually going to land at? url: https://eyko.ai/ideas/tax-liability-forecasting/ description: Forecast tax liability across jurisdictions using income, deduction, and rate signals. AI Playbooks anchor provision and cash planning. --- # What is the tax liability actually going to land at? Forecast tax liability across jurisdictions using income, deduction, and rate signals. AI Playbooks anchor provision and cash planning. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 8 jurisdictions forecast for fiscal year. Forecast total liability: $42M with $3.6M shift vs provision estimate. 2 upward shifts, 1 downward shift, 5 on-baseline. Provision-and-cash-planning adjustments project $1.8M cash exposure addressable. ## FAQ See the page at https://eyko.ai/ideas/tax-liability-forecasting/ for frequently asked questions about this analysis. --- --- title: Is the transfer pricing actually defensible and optimal? url: https://eyko.ai/ideas/transfer-pricing-optimization/ description: Optimize transfer pricing across entities for tax and operational outcome using benchmark and policy signals. AI Playbooks anchor policy. --- # Is the transfer pricing actually defensible and optimal? Optimize transfer pricing across entities for tax and operational outcome using benchmark and policy signals. AI Playbooks anchor policy. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 14 intercompany flows modeled over 4 quarters. 4 outside arm's-length range, 3 optimization opportunities within range ($2.4M annualized possible), 7 on-policy and on-benchmark. Combined moves project $4.2M tax-and-cash impact plus stronger audit defensibility. ## FAQ See the page at https://eyko.ai/ideas/transfer-pricing-optimization/ for frequently asked questions about this analysis. --- --- title: Are the vendor payment terms actually optimal across the portfolio? url: https://eyko.ai/ideas/vendor-payment-optimization/ description: Optimize vendor payment terms and processing using terms, supplier risk, and discount signals. AI Playbooks anchor portfolio. --- # Are the vendor payment terms actually optimal across the portfolio? Optimize vendor payment terms and processing using terms, supplier risk, and discount signals. AI Playbooks anchor portfolio. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 480 active vendors and $84M annual spend optimized. 84 term-extension candidates ($1.6M working capital), 62 dynamic-discounting candidates ($840K discount), 48 category-misaligned terms. Combined optimization projects $2.4M annualized cash benefit plus $840K captured discount. ## FAQ See the page at https://eyko.ai/ideas/vendor-payment-optimization/ for frequently asked questions about this analysis. --- --- title: Which content has the best chance of going viral? url: https://eyko.ai/ideas/viral-potential-scoring/ description: Score content viral potential before publish using share-pattern and audience-resonance signals. AI Playbooks prioritize publishing schedule. --- # Which content has the best chance of going viral? Score content viral potential before publish using share-pattern and audience-resonance signals. AI Playbooks prioritize publishing schedule. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 38 content pieces scored in next-quarter publishing pipeline. 6 high-potential (amplify), 14 standard (publish), 18 low-potential (restructure). Amplification on high-potential pieces projects 3x the share-and-reach baseline. ## FAQ See the page at https://eyko.ai/ideas/viral-potential-scoring/ for frequently asked questions about this analysis. --- --- title: Can you tell which variant will win before the A/B test finishes? url: https://eyko.ai/ideas/a-b-test-outcome-prediction/ description: Predict A/B test outcomes early using interim signal and historical pattern matching. AI Playbooks call tests sooner and avoid noise traps. --- # Can you tell which variant will win before the A/B test finishes? Predict A/B test outcomes early using interim signal and historical pattern matching. AI Playbooks call tests sooner and avoid noise traps. This is an eyko Ideas landing page. eyko Ideas are pre-built AI Playbook templates that address specific business problems. Each Idea connects to your data sources and generates a structured What, Why, and What Next analysis. ## Sample Playbook Output 24 active A/B tests scored. 8 high-confidence lift (callable at 75%), 6 null trajectory (end now), 4 noise-driven signal (hold to completion), 6 standard middle-range. Net capacity reclaimed: 25% of test pipeline reallocated to new hypotheses. ## FAQ See the page at https://eyko.ai/ideas/a-b-test-outcome-prediction/ for frequently asked questions about this analysis. --- --- title: Better Decisions Are Closer Than You Think url: https://eyko.ai/better-decisions/ description: You don't need to start over to make better decisions with AI. eyko adds the decision layer on top of the BI, data, and business systems you already run, giving you the why and the what next alongside the reports you already trust. --- # Better Decisions Are Closer Than You Think This page is an explainer, not a sales pitch. The message is simple: companies that already have BI in place are closer to better decisions than they realize. eyko bolts on top of what is already running and adds the decision layer (the why and the what next) alongside the reports and dashboards customers already trust. ## You probably think this is a big project. It usually isn't. When teams hear "AI for decision making", most assume it means a rebuild. New data warehouse, new semantic layer, new governance program, months of work before anyone makes a better decision. If your reports and dashboards are already connected to your business data, your foundations are sound. The next step is much smaller than you've been told. ## You've done the hard work The existing stack already does the heavy lifting: - **Business systems** (where the work happens): JD Edwards, NetSuite, Oracle EBS, SAP, Workday, HubSpot, Salesforce. - **Data layer** (where the data lives): Snowflake, Databricks, BigQuery. - **BI layer** (where you see what happened): ReportsNow, Hubble, Qlik, Power BI, Tableau, Business Objects, Looker. eyko is the decision layer on top of all of it. The why and the what next, in plain language, grounded in the same data the existing reports already use. ## What better decisions actually look like (the prize) - **Know What** (the BI layer, customer already owns this): reports and dashboards on top of business systems. Tells you what happened. - **Know Why** (eyko adds this, the investigation layer): ask questions in plain language. Get to root cause without writing SQL or chasing colleagues. The why behind the numbers. - **Know What Next** (eyko adds this, the recommendation layer): playbooks that turn recurring problems into structured decisions. The recommended next move, alongside the why. ## If this sounds too good to be true, here's why it's not - We connect to your data lake (Snowflake, Databricks, BigQuery). eyko reads governed data through the existing security model. No data movement, no duplicate pipelines. - We connect to your BI tool (ReportsNow, Hubble, Qlik, Power BI, Tableau, Business Objects, Looker). Dashboards stay. eyko reads from the same data they do. - We pick up your reports. The outputs the team already runs, eyko understands and builds on. - We connect to your business systems (JD Edwards, NetSuite, Oracle EBS, SAP, Workday, HubSpot, Salesforce). eyko grounds answers in operational truth, not summarized snapshots. - We start with what you have today. Files, dashboards, or a fully connected stack, eyko meets you where you are and grows from there. eyko is built by a team that has spent decades plugging on top of these systems. ## FAQ **Does eyko replace my BI tool?** No. eyko is the decision layer that sits above existing BI. Reports and dashboards stay in place. eyko adds the why and the what next. **Does eyko work with ReportsNow, Hubble, Qlik, Power BI, Tableau, or Business Objects?** Yes. eyko reads from the same data the reports use and adds an investigation and recommendation layer alongside the dashboards. **Do I need a data warehouse like Snowflake to use eyko?** No. eyko connects to Snowflake, Databricks, and BigQuery when present, but also reads from business systems (JD Edwards, NetSuite, Oracle EBS, SAP, Workday, HubSpot, Salesforce) and from files. **How does eyko handle business systems like JD Edwards, NetSuite, SAP, and Workday?** eyko grounds answers in operational truth rather than summarized snapshots. Dedicated eyko Beats experiences exist for the systems eyko customers run on most. **Can eyko sit on top of an existing Power BI or Tableau deployment without duplicating effort?** Yes. eyko does not rebuild reports, replace dashboards, or duplicate pipelines. It reads from the same underlying data the BI tool uses. ## Related pages - [Are you ready for decision intelligence?](https://eyko.ai/are-you-ready-for-decision-intelligence/): readiness, objections, maturity path. - [eyko Beats vs ReportsNow](https://eyko.ai/eyko-beats-vs-reportsnow/): partnership and side-by-side. - [eyko Beats vs Hubble](https://eyko.ai/eyko-beats-vs-hubble/): partnership and side-by-side. --- title: BI Stops at What. You Don't. url: https://eyko.ai/bi-stops-at-what/ description: Reports and dashboards tell you what happened. eyko tells you why it happened and what to do next. Decision intelligence for finance, operations, and RevOps teams. --- # BI Stops at What. You Don't. This is a paid-ads landing page for the eyko "BI Stops at What" campaign. The audience is finance, operations, and RevOps decision-makers who already feel the limitation the headline names: their reporting and dashboard tools surface what happened but cannot explain why it happened or what to do next. ## The gap - **What:** what BI gives you. Reports, dashboards, historical metrics. The numbers behind what already happened. - **Why:** what you actually need. The reason behind the number. Root cause analysis surfaced from your own data, not a separate ticket to the analytics team. - **What Next:** what you act on. A recommended next move, ranked by impact and grounded in operational truth. ## How it works 1. Connect your data. eyko reads from your existing data lake and BI stack. No rip-and-replace, no migration. 2. eyko surfaces Why and What Next. Playbooks investigate the signal, surface the root cause, and recommend the next move. 3. Your team acts faster. Decisions go from days to minutes. Reports stay where they are; eyko adds the layer that closes the loop. ## Primary call to action Book a demo via the on-page HubSpot form (First name, Work email, Company name). ## Related pages - [Better decisions are closer than you think](https://eyko.ai/better-decisions/): the long-form explainer for prospects who want to explore eyko before booking a demo. - [What is Decision Intelligence?](https://eyko.ai/what-is-decision-intelligence/): the pillar article on the category. --- title: Why Did It Happen? What Should You Do Next? url: https://eyko.ai/why-and-what-next/ description: Your reports tell you what happened. eyko tells you why and what to do next. Decision intelligence for teams who need more than dashboards. --- # Why Did It Happen? What Should You Do Next? This is a paid-ads landing page for the eyko "Why and What Next" campaign. The audience is finance, operations, and RevOps decision-makers whose existing BI tools were built to show them numbers but not help them understand or act on them. ## Questions your tools can't answer - **Why did margin drop?** eyko traces the variance back to the line items, regions, and contracts driving it. Not just a summary chart. - **Where is the risk coming from?** Playbooks rank exposure by impact and surface the source: late payers, supplier concentration, demand shifts, FX. Wherever it sits in your stack. - **What should we do about it?** eyko recommends the next move grounded in the data, not a generic best practice. Ranked, evidence-backed, ready to act. ## No rip-and-replace eyko connects to your existing data platform. No migration. No new BI tool. Just the layer that answers the questions your stack can't. ## Primary call to action Book a demo via the on-page HubSpot form (First name, Work email, Company name). ## Related pages - [Better decisions are closer than you think](https://eyko.ai/better-decisions/): the long-form explainer for prospects who want to explore eyko before booking a demo. - [What is Decision Intelligence?](https://eyko.ai/what-is-decision-intelligence/): the pillar article on the category. --- title: By the Time It Hits Your Dashboard, It's Already Hit Your Margin url: https://eyko.ai/by-the-time/ description: Dashboards show you what already happened. eyko tells you why it's happening and what to do before the impact compounds. --- # By the Time It Hits Your Dashboard, It's Already Hit Your Margin This is a paid-ads landing page for the eyko "By the Time" campaign. The audience is finance, operations, and RevOps decision-makers who have noticed that the moment a problem hits a dashboard, the business impact has already landed. The hero subhead noun is driven by the `utm_content` parameter on the URL. Variants: - `utm_content=margin` (default, finance audience): "It's already hit your margin." - `utm_content=forecast` (RevOps and FP&A audience): "It's already hit your forecast." - `utm_content=supply-chain` (operations and supply chain audience): "It's already hit your supply chain." - `utm_content=customers` (COO and customer success audience): "It's already upset your customers." - `utm_content=competitor` (C-suite and strategy audience): "Your competitor already moved." ## Timeline The page renders the comparison as two stacked horizontal step-timelines. **What your dashboard shows you (and when),** four sequential steps: 1. A drop appears in the next monthly report. 2. Report is published and shared. 3. By then, the cause has been compounding for weeks. 4. The chart confirms a problem you already lived through. **What eyko shows you (and when),** four sequential steps: 1. eyko surfaces the signal before the metric moves. 2. The root cause is named. 3. The next move is recommended. 4. Your team is on it while it still matters, not after the month-end report. ## Stack-safe eyko works with your existing data platform. No rip-and-replace. ## Primary call to action "See it with your data" via the on-page HubSpot form (First name, Work email, Company name). ## Related pages - [Better decisions are closer than you think](https://eyko.ai/better-decisions/): the long-form explainer for prospects who want to explore eyko before booking a demo. - [What is Decision Intelligence?](https://eyko.ai/what-is-decision-intelligence/): the pillar article on the category. --- title: Catch the Symptom Before It Hits Your Dashboard (eyko for JD Edwards) url: https://eyko.ai/jde-early-warning/ description: eyko Beats is the early-warning health monitor for finance teams running JD Edwards. Know what changed in your numbers, why, and what to do next, before month-end. --- # Catch the symptom before it hits your dashboard This is a paid-ads landing page for finance leaders running JD Edwards EnterpriseOne (E1). eyko Beats is positioned as an early-warning health monitor: it watches your JD Edwards financial and operational data continuously and flags the moment a metric moves, with the reason and a recommended action, before the change reaches your month-end pack. The symptom is already in your JD Edwards data. By the time it reaches the month-end close, it has been developing for weeks. eyko Beats catches it the moment it appears and tells you what to do next. Built for JD Edwards EnterpriseOne, with no rip-and-replace. ## Month-end reporting vs the monitor Month-end reporting is a snapshot, after the fact. You find out when the period closes. eyko Beats is always on. You know the moment a number moves. ## The question every JD Edwards finance team knows The numbers changed but nobody knows why. JD Edwards records everything, but finding what changed, why, and what to do means exporting to spreadsheets and hunting through reports, days after it mattered. eyko Beats answers it the moment it happens. ## How it works: Signals and Plays - eyko Signals (the early warning): eyko Beats watches your JD Edwards data continuously. The moment a metric moves, you get a Signal: what changed, and why. - eyko Plays (the action): every Signal arrives with a recommended Play. Insight becomes action without the wait. ## Why it matters for finance - Earlier warning: know before month-end close. - Answers, not analysis: the why arrives with the what. - Faster decisions: every Signal comes with a recommended Play. - Built for JD Edwards: sits on top of E1, no rip-and-replace. ## The JD Edwards specialist note eyko is built for JD Edwards EnterpriseOne. We connect to your existing E1 environment, read your financial and operational data where it already lives, and add the layer JD Edwards reporting was never designed to provide. No migration. No new ERP. No data project. ## Primary call to action Book my demo, via the on-page form (First name, Work email, Company name). The closing CTA strip offers a 30-minute session: we build a Playbook on your kind of JD Edwards data and show you the early warning, live. ## Related pages - [eyko for JD Edwards (eyko Beats for JDE)](https://eyko.ai/eyko-beats-for-jde/): the JD Edwards integration page. - [Better decisions are closer than you think](https://eyko.ai/better-decisions/): the long-form explainer for prospects who want to explore eyko before booking a demo. --- title: The health monitor for your business url: https://eyko.ai/whats-not-on-your-radar/ description: eyko Beats watches every function of your business continuously and surfaces the symptom and the recommended action before it hits your numbers. --- # The health monitor for your business This is a paid-ads landing page positioning eyko Beats as an always-on health monitor for every business function: finance, sales, operations, supply chain, customers, and people. Dashboards report the past. eyko Beats watches every function in the present, surfacing the symptom and the recommended action before the damage compounds. The signature element is a radar visual: a sweep continuously scans the six functions, and the moment a metric moves, eyko sends a Signal (what changed, and why) and a recommended Play (what to do next). The example shown catches a margin symptom slipping in EMEA before month-end would surface it. ## Month-end reporting vs the monitor Month-end reporting is a snapshot, after the fact. You find out when the period closes. eyko Beats is always on. You know the moment a number moves. ## How it works: Signals and Plays - eyko Signals (the early warning): eyko Beats watches every function continuously. The moment a metric moves, you get a Signal: what changed, and why. - eyko Plays (the recommended action): every Signal arrives with a recommended Play. Insight becomes action without the wait. ## Why it matters - Earlier warning: know the moment a number moves, not at close. - Answers, not analysis: the why arrives with the what. - Faster decisions: every Signal comes with a recommended Play. - Works with your stack: sits on top of what you already run, no rip-and-replace. ## Primary call to action Book my demo, via the on-page form (First name, Work email, Company name). The CTA strip offers a 30-minute session: we build a Playbook on your kind of data and show you the early warning, live. ## Related pages - [Better decisions are closer than you think](https://eyko.ai/better-decisions/): the long-form explainer for prospects who want to explore eyko before booking a demo. - [What is Decision Intelligence?](https://eyko.ai/what-is-decision-intelligence/): the pillar article on the category. --- title: "Deploying AI Isn't the Win. Better Decisions Are." url: https://eyko.ai/blog/deploying-ai-isnt-the-win-better-decisions-are/ description: "Jon Louvar, COO at eyko, on why Gartner's 2026 finance AI report card reveals deployment is accelerating while realized value is not, and what the missing decision layer means in practice." --- # Deploying AI Isn't the Win. Better Decisions Are. Gartner's 2026 finance AI report card, presented at the Gartner Finance Symposium in National Harbor, finds that two-thirds of finance organizations report productivity gains from AI. Yet analytics use cases, including financial forecasting, insight generation, and scenario modeling, rank among the lowest-performing AI investments. 63% say implementation moved slower than expected. The headline conclusion from Gartner's Marco Steecker: finance does not need to prove it can use AI anymore. It needs to prove AI can change how finance supports better business decisions. ## Why analytics AI keeps underperforming in finance Finance AI deployments are typically pointed at data: clean, structured, well-governed data. The model performs. The output lands in a dashboard or report. And then nothing changes. Not because the numbers are wrong. Because numbers are not decisions. A forecast trending 8% below plan does not tell anyone what to do about it. The analytics layer is operating without decision context, and decision context is what most finance AI deployments are missing. The data layer is easy to fund and easy to measure. Pipelines built, models trained, dashboards shipped. The decision layer is harder to scope. It requires finance, operations, and leadership to agree on what a given signal means and what the organization commits to doing when that signal fires. That conversation involves process redesign and accountability. So it gets deferred. ## The three things the decision layer has to carry Moving from AI deployment to AI value requires a layer that connects the signal to the action. That layer needs three things: Know What: a clear, agreed view of what is happening right now. Not ten versions of the number. One. Know Why: the context that explains the signal. Not just that revenue is down, but which segment, which product, which channel, and what is driving it. Know What Next: a defined path from insight to action. What decision does this trigger? Who makes it? What does good look like from here? Without all three, AI produces outputs that inform without directing. Finance leaders get faster reports. They do not get better decisions. ## What the decision layer looks like in practice Take a standard monthly variance review. AI surfaces that gross margin is down 2.3 points against plan. In most finance functions, that number goes into a slide, gets presented, and generates a conversation about why. Some actions get discussed. Most get revisited next month. With a decision layer, the same signal fires connected to a pre-agreed decision workflow. The organization has already defined what a margin variance of this size means, which conditions make it a pricing issue versus a mix issue versus a cost issue, and who owns each response. The AI surfaces the number in context, with drivers broken out and the decision path already mapped. Instead of 40 minutes establishing what happened, finance spends that time on what to do. The decision gets made in the room. ## What Gartner is recommending Gartner recommends CFOs shift from measuring AI deployment volume to measuring realized value. The better question for any AI investment is not what the tool can do, but which decision the tool connects to and how it changes what the organization does when the signal fires. Tools that cannot answer that question are faster reporting, not decision intelligence. ## About this article Written by Jon Louvar, COO at eyko. Based on findings from Gartner's May 2026 research presented at the Gartner Finance Symposium in National Harbor. eyko is a Decision Intelligence platform that helps finance, supply chain, and commercial teams move from data to decisions. --- title: "I Named a Product \"DecisionPoint.\" It Didn't Help Anyone Decide Anything." url: https://eyko.ai/blog/i-named-a-product-decisionpoint-it-didnt-help-anyone-decide-anything/ description: "A product I named DecisionPoint promised decisions and delivered dashboards. Register for the live August 27 session on what actually closes that gap." --- # I Named a Product "DecisionPoint." It Didn't Help Anyone Decide Anything. By Mark Hudson, VP Product Marketing at eyko. In the two analytics software companies he founded before eyko, the job was the same: get the right information to the people who needed it. Blue Edge Software, later acquired by SAP BusinessObjects, did personalized information distribution over the web when that was a new idea. Antivia, acquired by insightsoftware, built personalized BI apps for business users. The Antivia product was called DecisionPoint, and looking back it may be the least accurate product name he has put his name to. It gave business users an easy, personalized view of their own line of business. What it did not do was help anyone make a better decision. It just showed them, faster, where things were already going wrong. The problem was not the dashboard, the app, or the personalized view. Showing someone a number and helping them decide what to do about it are two different jobs, and DecisionPoint, like every BI tool since, was only ever built for the first one. ## What it actually means That second job has a name now: Decision Intelligence (https://eyko.ai/what-is-decision-intelligence/). Almost nobody explains it well. Search for it and you will find vendors bolting a chatbot onto a dashboard and calling it a rebrand. It is not that, and it is not a replacement for your BI stack either. The real idea is narrower and more useful than the marketing suggests: it is the layer that sits above your dashboards and closes the distance between a number changing on a screen and someone knowing what to do about it. DecisionPoint never got there. Most tools still do not. ## Three questions, not more charts Every real decision comes down to the same three questions: What changed? Why did it change? What should we do next? Dashboards are good at the first one, and most BI tools stop there. The why and the what next still land on someone's desk, usually a finance or operations leader, who has to dig through the ERP or corner an analyst to get a straight answer. ## The live session on August 27 Paul Sutton, eyko co-founder, and Mark Hudson are running a 30-minute live session, "What is Decision Intelligence?", on Thursday, August 27, 4:00 to 4:30 PM BST (11:00 AM EDT, 8:00 AM PDT). Registration: https://watch.getcontrast.io/register/eyko-make-better-decisions-what-is-decision-intelligence It covers what Decision Intelligence actually is in plain English, why more dashboards alone were never going to solve this no matter how good they got, the three questions every decision depends on, how to tell genuine Decision Intelligence from a dashboard with AI bolted on, and a short live example on a real finance scenario. Attendees leave able to explain the term to their own team and spot the real thing from the hype version. Thirty minutes, straight talking, with time for questions at the end. ## Why it is worth thirty minutes You already know your dashboards look good. Whether anyone can act faster because of them is a different question, and it is the one that matters. DecisionPoint was named on the belief that a good enough view of the data would get people to a decision on its own. It got most of the way, not all of it. The session covers what closes that last stretch. --- title: "How to choose a Decision Intelligence platform: the 7 golden rules" url: https://eyko.ai/blog/how-to-choose-a-decision-intelligence-platform/ description: "After 25 years buying and building analytics tools, here are the seven golden rules for evaluating a Decision Intelligence platform in 2026, and the one question most buyers get wrong." --- # How to choose a Decision Intelligence platform: the 7 golden rules By Mark Hudson, VP Product Marketing at eyko. Most Decision Intelligence platforms will not fail your evaluation because they cannot show you data. They fail because they stop at what happened and leave the why and the what next to you. In January 2026 Gartner published its inaugural Magic Quadrant for Decision Intelligence Platforms (17 vendors, four quadrants), making the category official, but "Decision Intelligence" now covers approaches so different that two platforms in the same quadrant can solve unrelated problems. Before you shortlist a vendor, classify your bottleneck, then score every platform against seven rules. ## First, classify your bottleneck There are three approaches inside the one category: - Decision automation models and executes decisions at machine scale (credit approvals, fraud scoring, dynamic pricing). The system decides, humans handle exceptions. Best for high-volume, rules-driven decisions. - Decision support and modeling augments human decisions with entity resolution, scenario modeling, and governance. Purpose-built for anti-money laundering, KYC, and regulated scenario planning. - Decision-ready analysis keeps the human in the loop and removes the investigation that slows them down. It does the three days of investigation behind a decision and hands your team a briefing to review, challenge, and act on. This is the closest fit when your bottleneck is the Decision Gap, the time from signal to decision, which is the one most mid-market finance and operations teams actually have. ## The 7 golden rules 1. It works across your entire business, not one application. The cause of a problem is rarely inside one system, so it must span CRM, ERP, finance, and supply chain. 2. It understands the systems it connects to. For a JD Edwards shop, that means resolving the joins across hundreds of tables, User Defined Code lookups, decimal shifting, and Julian dates automatically, and handing back business concepts, not a decoding project. 3. It investigates automatically, not just on request. It should continuously watch the business and surface issues nobody thought to chart, not wait for prompts. 4. It explains why, not just what. Real root cause with evidence attached, down to the accounts, SKUs, and regions responsible, not another chart. 5. It recommends what to do next. Prioritized, evidence-based actions tied to your data, not generic AI advice. 6. It is simple enough for every decision maker. No SQL, prompt engineering, or data-team ticket required to use it on day one. 7. It fits around your existing investments. It is the layer above BI, building on your ERP, warehouse, and dashboards, not a rip-and-replace. Rules 4 and 5, the why and the what next, are where most platforms fail: a platform strong on visibility but unable to deliver those two is a Business Intelligence tool with a new label. ## Two more things to check before you sign How long before you see value? Enterprise automation can need months of modeling; decision-ready analysis should produce a briefing in minutes. Does it arrive knowing your business, or ask you to teach it? The strongest platforms ship prebuilt process coverage and ready-to-run starting points. See the Decision Intelligence buyer's guide 2026 (https://eyko.ai/assets/ebooks/decision-intelligence-buyers-guide-2026.pdf), the What is Decision Intelligence white paper (https://eyko.ai/assets/ebooks/what-is-decision-intelligence-whitepaper.pdf), and The Decision Gap explainer (https://eyko.ai/assets/ebooks/eyko-the-decision-gap.pdf). ## Frequently Asked Questions **How do I choose a Decision Intelligence platform?** Classify your bottleneck first (automation, support and modeling, or decision-ready analysis), then score each vendor against seven golden rules: it works across the whole business, understands the systems it connects to, investigates automatically, explains why, recommends what next, is simple for every decision maker, and fits your existing stack. Rules 4 and 5, the why and the what next, are where most platforms fail. **What should I look for when evaluating a Decision Intelligence platform before investing?** Look at the actual output rather than the marketing. A chart answers what happened. Root cause with evidence answers why. Prioritized actions tied to your data answer what next. Confirm it connects to your existing systems, check how long before you see value, and make sure it complements your BI rather than replacing it. **What is the difference between Decision Intelligence and Business Intelligence?** Business Intelligence shows you what happened through dashboards and reports. Decision Intelligence explains why it happened and recommends what to do next. BI needs a human to interpret every chart, while Decision Intelligence delivers the interpretation as part of the output. Most organizations run both. **Which Decision Intelligence approach is best for finance and operations teams?** For most mid-market finance and operations teams the bottleneck is the Decision Gap, the time between a signal appearing and a decision being made on it, often three days of manual investigation, not automation or entity resolution. Decision-ready analysis is the closest fit because it removes that investigation while keeping the human in control. **Do I need to replace my BI tools to adopt Decision Intelligence?** No. BI tools such as Power BI, Tableau, and Qlik answer what happened. Decision Intelligence answers why and what next. Keep your dashboards for the What and add a decision layer above them for the Why and the What Next. --- title: "In risk and compliance, knowing what happened is already too late" url: https://eyko.ai/blog/risk-and-compliance-signals/ description: "Nine risk and compliance signals sit in your data before your reports show them. See what they are, why reports miss them, and how decision intelligence catches them in time." --- # In risk and compliance, knowing what happened is already too late By Jon Louvar, COO and co-founder at eyko, after thirty years in and around financial reporting. Risk has one uncomfortable rule: by the time it shows up in a report, it has already happened. The payment cleared, the control failed, the reconciliation broke, the finding is written. That is the ceiling of business intelligence, which is very good at telling you what happened and stops there. Decision Intelligence closes the gap: it reads the same data, works out why it is happening, and tells you what to do next while you can still act. Know what, know why, know what next. Here are nine risk and compliance signals that sit in your data before they reach a report, why reporting catches each one too late, and what changes when decision intelligence puts the why and the what next in front of you in time. The examples run one company's control environment: a six-day monthly close, several thousand journal entries a period, and an annual external audit. ## The nine signals 1. The payment that should never have cleared. A cluster in this week's payment run, about 480k, with the hallmarks of fraud or error: a new vendor, last-minute bank detail changes, round-number amounts, an approver acting out of pattern. The fraud report is a reconciliation you run after the payments have gone out. eyko: Fraud Detection reads the payment stream before the run clears, tells you why each item looks wrong, and tells you which to pull while pulling is still possible. 2. The expenses nobody has time to check. Finance samples expenses, so a trickle gets through: duplicate claims, out-of-policy spend, amounts split under an approval limit, about 120k a year clustered in a few cost centers. The expense report shows totals, not the outliers inside them. eyko: Expense Anomaly Detection reads every claim, flags the anomalies with the reason, and points at the cost centers driving the pattern. 3. The intercompany break that blows up the close. A 1.2M imbalance that nets to nothing at group level until you consolidate, at which point it stops the close dead. The reconciliation surfaces the break at consolidation, the worst moment to find it. eyko: Intercompany Reconciliation Anomalies catches the imbalance mid-period, with the entities and entries behind it, so it is a routine fix rather than a close-day fire drill. 4. The number that is moving for the wrong reason. A KPI moves, gross margin drops two points or DSO jumps, and the dashboard shows the move but cannot say whether it is the business changing or a posting error, a miscoded batch, a control that slipped. eyko: Financial KPI Anomaly Detection separates the real business change from the anomaly and points at the likely cause. 5. The accruals that come back to bite at true-up. Accruals are estimates and estimates drift. When they drift too far, the true-up swings the P&L a period or two later. eyko: Accrual Accuracy Forecasting flags the accruals most likely to swing before you book them, with the drivers, so the estimate is tighter going in. 6. The close that is about to slip. A six-day close quietly trending to eight, held up by two late reconciliations and an intercompany entry that has not landed. A close status report tells you where you are once you are in the close, not a week out. eyko: Financial Close Prediction forecasts the slip before the close starts and names the bottleneck. 7. Walking into the audit exposed. Six weeks out, readiness sits at about 72 percent: missing documentation, controls without evidence, a reconciliation that will not stand up to a sample. You usually find the gaps when the auditors do. eyko: Audit Readiness Prediction scores readiness ahead of the audit and tells you which gaps to close first. 8. The regulatory gap you did not know you had. Compliance gets checked periodically, and between checks things drift: a threshold changes, a filing lapses, an entity slips out of line. A point-in-time review tells you where you stood on the day, not the drift after. eyko: Regulatory Compliance Scoring scores compliance continuously and flags the gap and the specific rule at risk as it opens. 9. The risk building across the whole picture. Individually each signal is a line item; together they are an enterprise risk posture, and it gets assembled once a quarter for the board pack, long after the components started moving. eyko: Financial Risk Scoring keeps that posture live and decomposed by driver, so the board sees a current picture and you see which driver to act on first. ## The thread running through all nine In every case the signal was already in your data and the report reached you a lap too late to prevent the loss, the finding, or the scramble. In most functions that lap is annoying. In risk and compliance it is expensive, and sometimes the kind of expensive you have to disclose. This is what Decision Intelligence is for. Business intelligence tells you what happened. Decision Intelligence adds the two questions that protect you: why is this happening, and what do I do about it, in time to act. Know what, know why, know what next. Applied to risk it moves you from detective to preventive: holding the fraudulent payment before the run, closing the control gap six weeks out, steering enterprise risk live rather than reporting it a quarter late. See the whole picture joined up on the Risk & Compliance page (https://eyko.ai/processes/risk-and-compliance/). ## Frequently Asked Questions **What are the early warning signs in risk and compliance?** The common ones: fraudulent or anomalous payments, expense anomalies and policy breaches, intercompany reconciliation breaks, financial KPIs moving because of errors rather than trends, accruals drifting toward painful true-ups, a close about to slip, audit readiness gaps, regulatory drift between reviews, and enterprise financial risk building unseen. Each sits in your ledger and transaction data before it reaches a risk report. **Why do risk and compliance reports catch these too late?** A report is a record of what already happened. It reconciles after payments clear, consolidates after the period, and reviews compliance at a point in time, so it shows you the result of a risk event rather than the signal ahead of it, with no view of why it happened or what to do next. **What is decision intelligence, and how does it help with risk and compliance?** Decision Intelligence is the layer above business intelligence. Where BI tells you what happened, decision intelligence also tells you why it is happening and what to do next, in time to act. In risk and compliance that shifts you from detective to preventive: catching the anomaly before the payment run clears, closing an audit gap before the auditors arrive, and steering enterprise risk while it is still live rather than reporting it a quarter late. **What systems does eyko need to see these risks?** It reads across the ERP, general ledger, and transaction systems you already run, including JD Edwards, Oracle EBS, SAP, and NetSuite, alongside your existing data platform and BI tools. Nothing to warehouse first. **Can eyko quantify the exposure?** Yes. It sizes each risk against its driver: the value of the suspect payments, the expense leakage by cost center, the intercompany imbalance, the days a close is likely to slip, the audit readiness gap. A number to act on, not a hunch. --- title: "You wanted this long before it was called AI" url: https://eyko.ai/blog/you-wanted-this-before-it-was-ai/ description: "The AI friend-or-foe debate is a distraction. The capabilities underneath it are what decision-makers always wanted, and they finally close the decision gap." --- # You wanted this long before it was called AI By Mark Hudson, co-founder and VP of Product Marketing at eyko. The argument about whether AI is friend or foe is drowning out a simpler truth: the enabling capabilities underneath the noise are the ones Business Intelligence and Decision Intelligence (https://eyko.ai/what-is-decision-intelligence/) have needed for years. Forget for a moment that any of it is called AI and answer on the merits. Who wants to parse large volumes of data and reach insights they could not see before? Who wants to ask questions of their data in plain language without building the query? Who wants a radar running continuously over the business, surfacing anomalies before anyone thought to look? Who wants a system that does not just show the number but explains why it moved and suggests what to do? Every hand goes up. You wanted all of this before it had that name. The label is an implementation detail; the job it does is what you were asking for. ## What you actually wanted was to close the decision gap Every one of those answers points at the same thing: the decision gap (https://eyko.ai/decision-intelligence-vs-business-intelligence/), the time it takes between seeing a number move and making the right decision to act. Business Intelligence spent two decades getting very good at the first half. Faster queries, better dashboards, more self-service. Seeing became close to instant. Deciding did not. Making the best decision as fast as possible is what captures the saving or the opportunity gain, and closing that gap is the whole game. There are two gears to it. ## Gear one: react faster to the signals you already track A metric you watch every week moves the wrong way. Normally that kicks off days of manual investigation: pull the data, chase the cause, align the team, decide. Decision Intelligence compresses that cycle from days to the time it takes to read a briefing. Same signal, far faster reaction. That alone is worth a lot, but it is not the real prize. ## Gear two: see it before it lands on the dashboard The bigger win is catching the problem before it ever surfaces as a red number. On its own, almost no single metric tells you much. A small dip in margin is noise. A slight lengthening in the time it takes to collect cash is noise. A quiet shift in product mix is noise. The early warning lives in the combination: those three moving together, in a particular pattern, are a signal that cash is going to tighten a quarter out, well before it shows up as a shortfall on anyone's dashboard. A problem hits your margin before it shows on a dashboard, your forecast before it shows in a report, your cash before you get the chance to plan around it. The point is to see the pattern forming across your systems and act while you still have options, which is exactly the kind of early warning that matters most in cash and treasury management (https://eyko.ai/processes/cash-treasury-management/). ## Why one clever hire never fixed this Businesses have tried to close the decision gap for years. The usual answer, for teams that could afford it, was to hire a specialist to hunt for signals in the noise: expensive, in short supply, and, however good, one person working through a backlog. What businesses actually need is signal to problem to decision compressed into the same day, available to every decision-maker rather than a lucky few. A radar that picks up all the signals from your business systems, not one analyst tracking some of them. The capability that finally makes that possible happens to be AI. Keep your dashboards. Keep your Business Intelligence. Then add the layer above them (https://eyko.ai/eyko-beats/) that turns a moving number into a decision: what happened, why it happened, and what to do next. You have wanted that for a long time. Do not let an argument about the label talk you out of it. ## Frequently Asked Questions **What is the decision gap?** The decision gap is the time between seeing a number move and making the right decision to act on it. Business Intelligence made the seeing almost instant, but the deciding still takes days of manual investigation. Closing that gap, so you act while you still have options, is what captures the saving or the opportunity. **What is the difference between Business Intelligence and Decision Intelligence?** Business Intelligence shows you what happened, through dashboards and reports. Decision Intelligence (https://eyko.ai/decision-intelligence-vs-business-intelligence/) goes further: it explains why it happened and recommends what to do next. They are complementary layers, not competitors. You keep your dashboards and add a decision layer above them. **Can you spot a business problem before it shows on a dashboard?** Yes. On its own, most single metrics look like noise. The early warning lives in the combination: a small dip in margin, slower cash collection, and a shift in product mix moving together can signal that cash will tighten a quarter out, well before it appears as a shortfall on any dashboard. **Is Decision Intelligence just AI?** AI is the capability that makes modern Decision Intelligence possible, but it is an implementation detail, not the point. The value is the job it does: parsing large volumes of data, explaining why a number moved, and recommending what to do next. People wanted these outcomes long before they were called AI. **Do I need to replace my dashboards to use Decision Intelligence?** No. Decision Intelligence is the layer above reporting and Business Intelligence, not a replacement for them. Keep your dashboards and existing systems. eyko Beats (https://eyko.ai/eyko-beats/) adds the layer that turns a moving number into a decision, telling you what happened, why it happened, and what to do next. --- title: "Where is your revenue leaking, and why doesn't your forecast show it in time?" url: https://eyko.ai/blog/revenue-performance-leaks/ description: "Nine ways revenue leaks before your forecast catches it, from margin erosion to churn to unworked expansion, and how eyko surfaces each one while the quarter is live." --- # Where is your revenue leaking, and why doesn't your forecast show it in time? By Paul Sutton, co-founder and Commercial Operations lead at eyko, who has spent his career carrying a number, sitting in the forecast call, and defending the board slide. The revenue report is a story told after the fact: it shows the number that landed, not the revenue that quietly leaked out of the quarter on the way there. Revenue rarely walks out the front door, it seeps, and every leak was sitting in the data before it reached the forecast. Here are nine ways revenue leaks before your numbers catch it, why reports and forecasts miss each one, and what changes when the signal reaches you while the quarter is still live. The examples use one illustrative company: about 120M in revenue, 40M of it recurring, gross margin around 60 percent, average discount creeping toward 15. ## The nine leaks 1. The revenue you won but never fully collected. Scope delivered but never billed, a price escalator nobody triggered, a credit issued and never recovered, roughly 3.2M a year that you sold and never saw. The revenue report shows recognized revenue, so the gap between sold and realized never appears as a line. eyko: Revenue Leakage Detection reads quote, contract, billing, and collection as one chain and lists which deals to fix. 2. Margin slipping while revenue climbs. Top line up, gross margin quietly down from 62 to 59 over a few quarters. A revenue report celebrates the top line; margin erosion lives underneath it in mix, discount, and cost. eyko: Margin Erosion Analysis pulls the change apart into mix, price, discount, and cost and ranks what is actually driving the slide. 3. When discounting is doing the closing. Average discount drifts from 12 to 18 percent, with deals signed below policy to hit the date. On the report it shows only as a slightly lower net price, not that discounting has become the primary close mechanism. eyko: Discount Impact Modeling weighs discount against the win-rate lift it actually delivers. 4. The underpriced deal you approved last week. Approvals happen one deal at a time under time pressure; the pattern only shows at the QBR, a run of deals below the floor, maybe 1.5M of margin at stake, by then signed. eyko: Quote Approval Intelligence flags underpriced and over-discounted deals while they are still in the pipeline, with the reason attached. 5. Prices set once, and left to drift. One line underpriced against willingness to pay, another priced high enough to lose winnable deals. A revenue report tells you what you charged, not what you could have, because elasticity is not in the transaction data. eyko: Optimal Pricing and Price Elasticity Modeling model where you can raise price without losing volume and where a cut wins more than it costs. 6. The renewal that was never going to happen. Of the 40M recurring base, about 4.5M is flashing early churn signs now: usage trailing off, sentiment souring, tickets climbing, the champion gone quiet. The renewals report only tells you after the date passed. eyko: Renewal Risk and Expansion Prediction scores at-risk renewals months out, with the driver behind each one. 7. Net revenue retention quietly sliding. NRR drifts from 104 to 98, expansion slowing faster than churn is rising, and 100 is the line between compounding and shrinking. NRR is trailing by construction, printed once the cohort has matured. eyko: Net Revenue Retention Forecasting projects NRR forward and splits the movement into churn, contraction, and expansion slowdown. 8. The expansion sitting there unworked. Roughly 2.8M of expansion in accounts showing every sign of being ready to buy more, and nobody is working them. The revenue report shows what an account has bought, not what it is primed to buy next. eyko: Cross-Sell and Upsell Opportunity Analysis finds the accounts carrying the buying signals and names the next best product for each. 9. The big account that barely makes money. The logo everyone points to, huge on revenue, near break-even once you load in the discount and cost to serve. Revenue reports rank by revenue; profit by account needs cost-to-serve and true discount loaded in. eyko: Customer Profitability Analysis works out true net profit per account so effort and terms follow the customers who actually make you money. ## The thread running through all nine In every case the signal was already in your data and the report was a lap behind it. That is what a report is: an excellent account of the number that already landed. It stops at What. Revenue is the ultimate What, and the least forgiving place to only find out after the fact. The two questions that protect it come next, why is the number moving and what do I do about it before the quarter closes. That is the gap eyko is built for. It reads your CRM, ERP, and billing on a beat, works out the Why, and returns the What Next in commercial terms: reprice this deal, save this renewal, work this expansion, fix this leak. See it joined up, pipeline, pricing, renewals, and profitability read together, on the Revenue Performance Management page (https://eyko.ai/processes/revenue-performance-management/). ## FAQ **What are the early warning signs that revenue is leaking or underperforming?** The common ones: revenue leakage between what you sold and what you realized, gross margin slipping while the top line grows, discounting creeping past policy, deals underpriced at approval, prices drifting out of step with the market, renewals heading for churn, net revenue retention sliding, expansion left unworked, and big-revenue accounts that are barely profitable. Each is visible in your commercial and finance data before it reaches the revenue report. **Why don't revenue reports and forecasts catch these in time?** A report and a forecast are records and projections of the number, produced after the deals, discounts, and renewals have already happened. They show you the result, not the signal ahead of it, and they carry no view of why the number moved or what to do next. **How is eyko different from a revenue dashboard or a forecasting tool?** A dashboard shows you the number and a forecast projects it. eyko reads the same data and answers the two questions neither can: why revenue is moving and what to do about it, returned as ranked commercial actions while there is still time to act on them. **What systems does eyko need to see revenue leaks?** It reads across the CRM, the ERP, and billing that you already run, including Salesforce, JD Edwards, Oracle EBS, SAP, and NetSuite, alongside your existing data platform and BI tools. Nothing to warehouse first. **Can eyko quantify the revenue at risk?** Yes. It sizes each leak against its driver: the revenue leaking between sold and realized, the margin points lost to discount and mix, the recurring revenue flashing churn risk, the expansion sitting unworked. A number to act on, not a hunch. --- title: "Business intelligence won. So why are decisions still hard?" url: https://eyko.ai/blog/business-intelligence-decision-gap/ description: "Business intelligence made data visible, not decisions easy. Why the decision gap survives dashboards, and how Decision Intelligence closes it." --- # Business intelligence won. So why are decisions still hard? By Mark Hudson, VP of Product Marketing at eyko. Business intelligence won. Dashboards are everywhere, data warehouses are standard, and self-service reporting reached people who would never have opened a query tool a decade ago. So why is the start of every month still painful? Because BI solved one layer of the problem and not the next. It made data visible, structured, and shareable, but the last two steps, deciding and acting, are still done by a person staring at a chart, almost entirely by hand. That is the decision gap. ## The evidence is in your calendar Watch a finance team in the first week of a reporting cycle. The numbers are already on a dashboard, yet the team loses days exporting to a spreadsheet, pulling three other reports alongside it, and reconstructing by hand why the variance happened and what to do about it. Watch a Monday leadership meeting: the dashboard is on the screen, but the questions are not "what is the number," they are "why did it move," "is it going to continue," and "what should we do." The dashboard answers none of them, so someone takes the question away and builds the answer manually, the same way they did last month. None of this means BI failed. It means BI solved one layer and not the next. ## Visibility is not a decision The path from raw data to a business outcome runs data to information to insight to decision to action. BI carried us across the first stretch: it made data visible, structured, and shareable, and that is largely done. But deciding and acting are still manual. That is the gap, and it is not a reporting gap, it is a decision gap. It is not the dashboard's fault either. A dashboard's job is to show what happened; asking it why something happened and what to do next is asking the wrong tool a question it was never designed to answer. ## Why "AI in BI" only gets you so far Every BI vendor now has an AI assistant, and they are useful, but most of them help you build the query faster and reach the chart sooner. That is a quicker answer to "what happened," a faster description of the past. The bottleneck was never describing the past. It was reasoning about it and choosing what to do. Speeding up the part that already worked does not close the gap, it just gets you to the edge of it sooner. ## The layer that is still missing That missing layer is starting to have a name: Decision Intelligence (https://eyko.ai/what-is-decision-intelligence/). It does not compete with your dashboards, it sits on top of them. Where BI answers what happened, this layer answers why it happened, what is likely to happen next, and what you should do about it, continuously rather than only when someone thinks to ask. That is the difference between seeing your business and understanding it. BI gave us the first; the second is still mostly manual, still mostly reactive, and still swallowing the first week of every month. ## FAQ **Why isn't business intelligence enough to make decisions?** Business intelligence is built to show what happened. It makes data visible, structured, and shareable, but it does not explain why a number moved, what is likely to happen next, or what to do about it. Those steps are still done by hand, which is why deciding stays slow even when the dashboard is instant. **What is the difference between business intelligence and Decision Intelligence?** Business intelligence answers what happened. Decision Intelligence sits above it and answers why it happened, what is likely next, and what to do, continuously rather than only when someone runs a report. One describes the business, the other helps you act on it. **Does adding AI to a BI tool close the decision gap?** Not on its own. Most AI assistants in BI tools speed up building the query and reaching the chart, which is a faster description of the past. The bottleneck was never describing the past, it was reasoning about it and deciding what to do, and that is the part that stays manual. --- title: "Where is your source-to-pay leaking, and why don't your reports show it?" url: https://eyko.ai/blog/source-to-pay-spend-leaks/ description: "Nine spend leaks hide in your source-to-pay data before your reports show them. See what they are, why reports miss them, and how eyko catches them early." --- # Where is your source-to-pay leaking, and why don't your reports show it? By Jon Louvar, COO and co-founder at eyko, who spent years in financial reporting before this. A spend report is a rear-view mirror: it tells you what you paid, accurately, a few weeks after you could have acted. The leaks were never invisible. They sit in the ERP, the purchase orders, and the invoice file well before they surface in a report, but the report rolls everything up after the fact and cannot say why the total moved or what to do next. Here are nine places source-to-pay tends to leak, why reports keep missing them, and what changes when the signal reaches you while you can still act. The examples use one illustrative company: roughly 180M in annual spend, 340 suppliers, about 12,000 invoices a year. ## The nine leaks 1. The leak hiding in "miscellaneous". A catch-all GL line hides off-contract spend (about 14M in the example), bought at list from suppliers you already hold negotiated rates with. Rolled up by account it reads as ordinary category spend. eyko: Procurement Spend Analysis classifies spend down to the contract it should have used and lists the rate you paid against the rate you already had. 2. Where your team's time actually goes. Rank spend by value and the tail disappears. Rank by transaction count and two hundred-odd suppliers generate most of your POs and invoices for a sliver of the spend. The cost was in the volume, not the spend column. eyko: Tail Spend Detection ranks the tail by the work it creates and shows what a catalog or consolidation would lift off the team. 3. The invoice you paid twice. Same invoice keyed twice, a credit that never landed, a currency or rounding slip. On the report a duplicate looks exactly like a legitimate payment until someone reconciles it, after the run has gone out. eyko: Accounts Payable Exception Prediction flags the invoices that do not smell right before the run clears, with the reason attached. 4. The orders that bend the rules. Orders split under the sign-off threshold, a PO raised after the invoice, an off-list supplier. Not fraud, but control slipping. The report shows them as processed orders because that is what they are. eyko: Purchase Order Anomaly Detection learns what a clean order looks like and flags the ones that stray, ranked by how far. 5. The cheap supplier who wasn't. A supplier wins on unit price, then freight, reject rate, and reorders eat the saving. A spend report only ever saw the price; the rest lived in logistics, quality, and inventory. eyko: Total Cost of Ownership Modeling shows the real landed cost per supplier so the cheapest quote is judged on what it actually costs. 6. The price rise you bought straight into. Input prices drift rather than jump. A material creeps up 9 percent across two quarters and no single order looks wrong. Your report compares this month to last, about a quarter too late. eyko: Material Price Prediction forecasts the input prices that matter and shows where buying ahead protects the margin. 7. Cash going out the wrong way. Half your suppliers are paid early for no reason, tying up cash; the other half are sitting on early-payment discounts that lapse unclaimed. A payables report shows what is due, not the right day to pay each invoice. eyko: Payment Timing Optimization and Vendor Payment Optimization work that out invoice by invoice. 8. Seven suppliers doing one job. A single category spread across seven suppliers where three would cover it. Every extra name is a weaker rate plus onboarding, management, and another line in the run. eyko: Vendor Consolidation Analysis finds the overlap and models the rate you would gain against the risk of leaning on fewer names. 9. The supplier quietly becoming a problem. A single-source supplier carrying more spend than is comfortable, with early signs in slipping deliveries, changing payment behavior, and financial-distress signals. Your spend report tells you how much you buy from them, not that they are turning into a risk. eyko: Supplier Risk Prediction pulls delivery, financial, and payment signals into one score and surfaces critical suppliers early. ## The thread running through all nine In every case the signal was already in your data and the report was a lap behind it. That is what business intelligence is: a good account of what already happened. It stops at What. The two questions that protect the number come next, why is this happening and what do I do before the next run. That is the gap eyko is built for. It reads your source-to-pay data on a beat, works out the Why, and returns the What Next in plain terms: hold this payment, redirect this purchase, qualify this supplier. See the whole picture joined up on the Source-to-Pay page (https://eyko.ai/processes/source-to-pay/). ## FAQ **What are the early warning signs of spend leakage in source-to-pay?** The usual suspects: off-contract spend, a growing supplier tail, duplicate or erroneous invoices, purchase orders that break policy, buying on price instead of total cost, input prices bought at the wrong time, payment timing that wastes cash or misses discounts, too many suppliers for one category, and a critical supplier turning into a risk. Each one shows up in your source-to-pay data before it reaches a spend report. **Why don't spend reports catch these in time?** A report is a record of what happened. It rolls spend up after the invoices are paid and the contracts are signed, so you see the result of a leak rather than the signal ahead of it, with no read on why the number moved or what to do next. **How is eyko different from a spend analytics dashboard?** A dashboard shows you spend. eyko reads the same data and answers the two questions a dashboard cannot, why the number moved and what to do about it, returned as a ranked set of actions while there is still time to act. **What systems does eyko need to see source-to-pay leaks?** It reads straight from the ERP and procurement systems you already run, including JD Edwards, Oracle EBS, SAP, and NetSuite, alongside your existing data platform and BI tools. Nothing to warehouse first. **Can eyko quantify how much is leaking?** Yes. It sizes each leak against its driver: what the off-contract spend is costing you by supplier, how much of the duplicate payments you can recover, which discounts are about to lapse. A number to act on, not a hunch. --- title: "10 early warning signs in order-to-cash your reports show too late" url: https://eyko.ai/blog/order-to-cash-early-warning-signs/ description: "Ten order-to-cash warning signs that surface too late in a report, the evidence behind each, and where the signal is hiding in your own systems." --- # 10 early warning signs in order-to-cash your reports show too late By Paul Sutton, co-founder and Commercial Operations lead at eyko. Order-to-cash is where revenue you have already earned quietly turns into less cash than it should, and EY puts the typical leak at 1% to 5% of EBITDA a year. The data is not missing. An order-to-cash position is assembled from a dozen places (the CRM and order book, pricing and contract terms, billing and invoicing, the AR aging, and the credit data behind each account), and the signals are scattered across systems that do not reconcile until after the leak has happened. These are timing problems, not data problems. Here are ten signs that arrive too late in a report, the evidence behind each, and where each one is hiding in your systems. ## The ten signs 1. Your list price goes up but your realized price does not. The gap between list price and the price you actually keep after every discount, rebate, and term is where margin disappears, and it rarely shows up as a line item. McKinsey's analysis of S&P 1500 economics found a 1% improvement in realized price lifts operating profit by around 8%. eyko: Optimal Pricing finds the revenue-maximizing price per product within the elastic band. 2. Discounts get approved one at a time and nobody adds them up. Approved deal by deal, discounts are never seen together, so the total margin given away never lands on anyone's screen. MGI Research finds 42% of companies experience some form of revenue leakage. eyko: Pricing Exception Analysis surfaces the overrides outside policy and quantifies the margin they give away. 3. What the contract says and what you bill have quietly drifted apart. Agreed escalations go unapplied, usage minimums go unmet, and billing slips below the terms. World Commerce and Contracting estimates the average business loses close to 9% of annual revenue to poor contract management, rising to 15% or more in complex industries. eyko: Contract Compliance Monitoring reads billing against contract terms and flags where billing has fallen below the agreement. 4. Value is leaking in the gap between the quote and the cash. A deal can be misconfigured at quote, fulfilled with scope that never gets billed, and invoiced for less than the order. A BCG survey found 45% of executives consider revenue leakage a systematic problem. eyko: Quote-to-Cash Leakage Detection traces where value leaks between the quote and the cash. 5. Margin is slipping and you cannot say whether it is price, cost, or mix. A falling gross margin is a symptom, not a diagnosis. A 1% slip in realized price takes roughly 8% off operating profit, so a small unexplained drift is worth catching early. eyko: Margin Erosion Analysis decomposes the change into discounting, cost lag, and mix. 6. A reliable customer is quietly turning into a credit risk. A customer that paid on time for years can deteriorate well before the first missed payment. Allianz Trade expects global business insolvencies to rise again in 2026, a fifth consecutive year and a record high. eyko: Payment Default Prediction flags accounts matching the pre-default profile before the first missed payment, with the exposure attached. 7. Your credit limits were set at onboarding and never revisited. Left static, a limit is too generous for an account that is slipping and too tight for one that is growing. Atradius reports bad debts now affecting around 7% of B2B invoices in the UK, as high as 10% in some sectors. eyko: Credit Limit Optimization rebalances limits so growth accounts get room and deteriorated accounts get pulled back. 8. Your team is chasing the loudest invoice, not the most recoverable one. Collections effort follows whoever calls or whichever invoice is largest, which is not the same as the cash you are most likely to recover. Around 47% of B2B invoices across Western Europe are now overdue. eyko: Collections Prioritization ranks receivables by expected cash impact and payment probability. 9. Your revenue forecast is a number you defend, not one you trust. A forecast assembled by hand from rep judgment and stage guesses tends to be optimistic. Gartner found only 7% of sales organizations achieve forecast accuracy of 90% or higher, and 69% say forecasting is getting harder. eyko: Revenue Forecast Accuracy finds the systematic bias and tightens the next forecast. 10. Backlog is converting slower than the plan assumed, and you find out at close. Recognized revenue depends on how fast backlog converts, and the gap is real weeks before close but only becomes visible once the quarter is written. 87% of enterprises missed their revenue targets in 2025, per Clari Labs. eyko: Revenue Recognition Forecasting forecasts recognized revenue against plan and surfaces the backlog conversion driving the gap. ## The pattern behind all ten None of these are data problems. The data exists. They are timing problems: the number lands in the report, and the explanation and the next move do not. That is the difference between BI and decision intelligence. Traditional BI shows you the What. eyko reads the same systems on a beat, finds the drivers, and returns a ranked Why and What Next your revenue team can act on, before the cash slips and the customer goes quiet. ## FAQ **What is order-to-cash decision intelligence?** It is the layer above your CRM, billing, and AR reporting that explains where revenue is leaking, who is about to pay late, and how the quarter is tracking. BI shows you last quarter's revenue. eyko reads the signals across pricing, billing, credit, and collections, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **What is revenue leakage in the order-to-cash process?** Revenue leakage is income you have earned but never collect, lost between the order and the cash. Common sources include underpricing, out-of-policy discounts, contracted escalations that were never applied, unmet minimums, underbilling on usage, and disputes that quietly write down the invoice. EY estimates companies lose 1% to 5% of EBITDA a year to it, and most of it is systematic rather than occasional. **How is this different from our CRM and billing reports?** CRM and billing reports show you the numbers: pipeline, invoices, aging. They do not tell you which contracts are underbilled, which customers are about to default, or which overdue accounts are worth chasing first. eyko sits alongside those systems and answers the decision behind the number, with the drivers and the accounts attached. **Can eyko predict which customers will pay late?** Yes. eyko re-scores credit continuously from payment behavior and external signals, flags the accounts matching the pre-default profile before the first missed payment, and attaches the exposure to each. That turns a backward-looking aging report into an early-warning read on who is about to slip. **How does eyko prioritize collections?** It ranks overdue accounts by expected recovery, combining payment probability with cash impact, so the team works the invoices most likely to pay first rather than the oldest or the loudest. Effort lands on the receivables that actually move DSO and bring cash forward. **Do we need a data warehouse first?** No. eyko connects to your source systems directly, including your CRM, ERP, and billing, and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where revenue is leaking or which customers are about to slip. ## Related pages - [Order-to-Cash](https://eyko.ai/processes/order-to-cash/): how eyko reads an order-to-cash position across pricing, contracts, billing, credit, collections, and revenue recognition. - [10 early warning signs in cash and treasury your dashboard shows too late](https://eyko.ai/blog/cash-treasury-early-warning-signs/): the treasury companion to this post. - [eyko Beats](https://eyko.ai/eyko-beats/): the product that reads your systems on a beat and returns the Why and What Next. --- title: "10 early warning signs in cash and treasury your dashboard shows too late" url: https://eyko.ai/blog/cash-treasury-early-warning-signs/ description: "Ten cash and treasury warning signs that surface too late on a dashboard, the evidence behind each, and where the signal is hiding in your own systems." --- # 10 early warning signs in cash and treasury your dashboard shows too late By Jon Louvar, COO at eyko. A treasury dashboard is a rear-view mirror: it shows the position after it has already moved. The warning was there the whole time, but a treasury position is assembled from a dozen places (the GL in your ERP, daily bank feeds, AR aging, the AP run, open FX positions, debt schedules and covenant terms, and a 13-week forecast in a spreadsheet), and the signals are scattered across systems that do not talk to each other. These are not data problems, they are timing problems. Here are ten signs that arrive too late on a dashboard, the evidence behind each, and where each one is hiding in your systems. ## The ten signs 1. Your cash forecast keeps missing in the same direction. A forecast that comes in short month after month is a signal the inputs are wrong, not the model. In a 2026 EuroFinance poll, 51% of treasury teams named data quality and consistency as the single biggest constraint on forecasting accuracy. eyko: Cash Variance Analysis reads the ranked drivers behind the gap. 2. The shortfall only shows up the week it lands. Cash and liquidity forecasting is the leading treasury priority, cited by 73% of practitioners in the AFP 2025 Treasury Benchmarking Survey, up from 68% in 2022. eyko: Short Term Liquidity Forecasting projects the position forward by week and entity before the borrowing window closes. 3. DSO is drifting above your own payment terms. The number to watch is DSO measured against your terms. When receivables rise for three or more months while sales hold steady, the trend is the warning, not the absolute figure. eyko: DSO Optimization brings collections forward. 4. One customer is quietly paying slower. A single large account sliding from on time to late rarely moves the consolidated number until it is already a problem. Predictive models can flag at-risk accounts 30 to 60 days before they miss a payment. eyko: Customer Risk Prediction re-scores credit risk as conditions change. 5. You are stretching payables to plug a gap. Late payment carries penalties, with UK statutory interest on overdue business debt currently running around 11.75%, and can forfeit early-payment discounts worth more than the cash held. eyko: Dynamic Payment Strategy times what you pay to protect cash without straining suppliers. 6. Cash is trapped in the conversion cycle. The Hackett Group's 2025 US Working Capital Survey found $1.7 trillion trapped in excess working capital across the 1,000 largest public companies, with $600 billion of that in receivables alone. eyko: Working Capital Optimization reads DSO, DPO, and inventory aging together. 7. Your covenant headroom only clears on an assumed rate cut. Lenders are re-running interest-coverage and fixed-charge covenants on flat-to-higher rates and flagging any credit that only clears on an assumed cut. eyko: Debt Service Forecasting projects obligations against forecast cash and headroom. 8. The cost of your debt is creeping up with rates. The OECD's Global Debt Report 2026 points to rising interest costs and growing refinancing risk as the maturity of corporate issuance shortens, even with borrowing at record levels. eyko: Rate Sensitivity Modeling shows how rate shifts move your cost of capital and debt service. 9. FX exposure is drifting unhedged. In a Q1 2026 survey, 96% of companies reported FX losses despite increasing their hedging activity. eyko: Currency Exposure Prediction maps exposure across the book before it moves the number. 10. You see what threatens the position last, not first. AFP's 2026 survey found treasury is the department most likely to discover attempted fraud, cited by 83% of respondents, even as 76% of US organizations were hit by payments fraud in 2025. eyko: Treasury Risk Assessment surfaces the liquidity, funding, counterparty, and market risks that most threaten the position. ## The pattern behind all ten None of these are data problems. The data exists. They are timing problems: the number arrives on the dashboard, and the explanation and the next move do not. That is the difference between BI and decision intelligence. Traditional BI shows you the What. eyko reads the same systems on a beat, finds the drivers, and returns a ranked Why and What Next your treasury team can act on, before the window closes. ## FAQ **What is an early warning sign in cash and treasury?** It is a measurable shift in a treasury metric, such as forecast variance, DSO, covenant headroom, or FX exposure, that points to a future cash or liquidity problem before it shows up as a shortfall. The challenge is rarely detection. It is timing, because the signal is scattered across systems and surfaces late. **How is this different from a BI dashboard?** A dashboard reports the position after it has moved. Decision intelligence reads the same data continuously, explains why the number is changing, and recommends what to do next while there is still time to act. **Does eyko replace our treasury management system?** No. eyko reads cash, AR, AP, debt, and FX data from your existing ERP and bank feeds, alongside the BI and data tools you already use. It adds the Why and What Next on top of the systems you already run. **Do we need a data warehouse first?** No. eyko connects to your source systems directly, so you do not need to consolidate or rebuild your data foundation before you can see a forecast. **How quickly can we see a cash forecast?** A 13-week cash forecast in minutes, not a Monday lost to spreadsheets. --- title: "What's Next for the Office of the CFO in 2026? Why Finance Is Moving Beyond the Dashboard" url: https://eyko.ai/blog/office-of-the-cfo-2026/ description: "The Office of the CFO has solved visibility. 2026 is about what comes after the dashboard, and why JD Edwards finance teams don't need to rebuild to act." --- # What's Next for the Office of the CFO in 2026? Why Finance Is Moving Beyond the Dashboard By Jon Louvar, COO at eyko. Gartner's 2026 CFO Agenda surveyed more than 200 CFOs: 56% put enterprise-wide cost optimization in their top five priorities, 51% put improving forecast accuracy there too, yet only 36% feel confident they can drive value from AI. The gap is not an AI problem. It is a leftover from how finance reporting was built over the last two decades. CFOs can see almost everything, but seeing a number and knowing what to do about it are two different jobs, and the industry only ever built tools for the first. ## Visibility is solved. Action is not. The close is faster than ever, dashboards cover every department, and more than 75% of CFOs are now responsible for data and analytics across the enterprise. The visibility problem of the last decade has been won. A dashboard tells you revenue dipped in a region. It does not tell you why, which three accounts drove it, or what to do before the next quarter closes. The CFO assembles that story by hand, in meetings, days after the number appeared. The real shape of finance in 2026 is not a lack of data, but a lack of the layer that turns data into a decision. ## The "rebuild your foundation" pitch is aimed at the wrong problem A popular message, usually from systems integrators, says you must rebuild your data foundation before AI can help: re-platform, re-warehouse, re-pipe everything. For JD Edwards finance teams this lands as nonsense. JDE data lives in the ERP, is reconciled, and is trustworthy. Teams have layered accurate reporting on top of it for years through tools like Hubble, ReportsNow, or Power BI. The delay is not in the foundation. It is in everything that happens after the report renders, the distance between a clean GL view and an actual decision, and no amount of re-platforming closes it. ## The three things a dashboard was never built to answer eyko frames the finance leader's real needs as three questions: - Know What: the number, trend, and variance. BI already does this well. - Know Why: the moment a dashboard surfaces a problem, the next question is why, and that is where the tooling stops. Finding the why means a human pulling threads across systems and exporting to spreadsheets. - Know What Next: someone still has to decide what to do, who owns it, and whether it worked. Today this lives in people's heads and follow-up emails. Gartner estimates 3 to 8% of EBITDA is lost every year to hidden inefficiencies, leakage, and missed opportunities. That money is lost in the gap between Know What and Know What Next, in the days between a number appearing and anyone acting on it. ## What the next layer actually looks like The shift expected to define the Office of the CFO in 2026 is a decision layer that sits above the ERP and the dashboards rather than replacing either. For a JDE finance team, that means leaving JD Edwards and the trusted reports exactly where they are, and adding a layer that watches the data the way an experienced controller would: noticing when something moves, explaining why, surfacing the few accounts that matter, and proposing the next move. BI stops at What, and it is finished. The next decade of finance is about closing the distance between sight and action, fast enough that 3 to 8% of EBITDA stops walking out the door. ## FAQ **What are the top priorities for the Office of the CFO in 2026?** According to Gartner's 2026 CFO Agenda, the most common priorities are enterprise-wide cost optimization (cited by 56% of more than 200 CFOs surveyed) and improving financial forecast accuracy and quality (51%). At the same time, only 36% of CFOs feel confident in their ability to drive value from AI, which points to a gap between the pressure on finance and the tools available to meet it. **What is the Office of the CFO?** The Office of the CFO is the broader finance function led by the Chief Financial Officer, including FP&A, controllership, treasury, and increasingly data and analytics. More than 75% of CFOs are now responsible for data and analytics across the enterprise, which is why finance leaders are central to decisions about reporting and AI, not just budgeting and the close. **Is decision intelligence different from business intelligence?** Yes. Business intelligence answers what happened: the numbers, trends, and variances shown on a dashboard. Decision intelligence adds the two layers BI was never built for, why something happened and what to do next, and connects them to ownership and follow-through. The goal is to shorten the time between seeing a number and acting on it. **Do JD Edwards finance teams need to rebuild their data foundation before adopting AI?** In most cases, no. JD Edwards data is already structured, reconciled, and trusted, and finance teams have usually layered accurate reporting on top of it for years. The delay in getting from data to decision sits after the report renders, not in the foundation. A decision layer can sit above JDE without re-platforming the ERP or replacing existing reports. **How does decision intelligence help CFOs move from reporting to action?** It watches the data continuously, explains why a metric moved, surfaces the specific accounts or transactions that matter, and proposes the next step, rather than leaving finance to assemble that story by hand. This directly addresses the EBITDA Gartner estimates is lost each year (3 to 8%) to inefficiencies and missed opportunities that hide in the gap between visibility and action. **Where does decision intelligence fit alongside our existing BI and ERP stack?** It sits above them. eyko leaves your ERP and your existing dashboards in place and adds the Know Why and Know What Next layer on top, so you keep the systems your team trusts and close the gap between what they show and what you do about it. ## Related pages - [If Your Finance Data Isn't AI-Ready, How Did You Pass the Audit?](https://eyko.ai/blog/how-did-you-pass-the-audit/): the finance-leader version of the readiness argument. - [The Bottleneck Has Never Been the Data](https://eyko.ai/blog/the-bottleneck-has-never-been-the-data/): the analyst-seat companion to this piece. - [Thirty Years of Dashboards Were Not Wasted](https://eyko.ai/blog/thirty-years-of-dashboards/): why thirty years of BI work is the foundation AI needs, not a problem to rebuild. --- title: "The Bottleneck Has Never Been the Data. It's Been Everything After the Dashboard." url: https://eyko.ai/blog/the-bottleneck-has-never-been-the-data/ description: "The AI readiness pitch tells analysts to rebuild their data before AI can help. Mark Hudson on why the real bottleneck is the manual investigation after the dashboard." --- # The Bottleneck Has Never Been the Data. It's Been Everything After the Dashboard. A genre of LinkedIn post aimed at business and financial analysts argues that their analytical foundation needs rebuilding, that their data is not in the right shape, and that they need a multi-quarter readiness program before AI can help. Mark Hudson, VP Product Marketing at eyko and a 25-year builder of analyst software, argues the opposite: the last decade of analyst work was not the problem. The tooling was. The bottleneck has never been the data. It has been everything that happens after the dashboard. ## What analysts have actually been doing The typical analyst week: the variance report drops, something is off in a region, margin is down and nobody knows why. The BI tool confirms the number the analyst already knew. Then the real work starts: pulling customer detail from the warehouse, cross-referencing pricing in the CRM, checking the deal desk for approved discounts, querying product cost from the ERP, building the supporting view, writing the commentary, looping in the regional lead. By Friday the meeting has moved on. The data is mostly fine. The systems mostly connect. The numbers mostly tie. What consumes the week is the manual investigation cycle between the dashboard and the decision, not the data foundation. ## Why the "fix your foundation" framing fails Analysts already work around imperfect data every day: miscategorized customers, missing dimensions, late-arriving accruals, joins that need manual reconciliation, master data that disagrees between systems. They never needed a multi-quarter program to produce trusted analysis on top of it. Telling that audience the foundation is suddenly not AI-ready, after years of trusted output, reads as a pitch from someone who has not spent a day in the analyst seat. ## What AI actually changes The mechanical part of investigation, gathering, joining, filtering, cross-referencing, drafting the supporting view and first-cut commentary, is the part that eats the week, and it is not the part that produces value. AI applied to the same data the analyst already uses does that work in seconds, removing the latency between the question and the assembled evidence. What remains is the thinking: the hypothesis, the interpretation, the recommendation. That is still the analyst's work. The honest version of AI for analysts is not that the analyst gets replaced. It is that the analyst finally spends the week on the work that needed a human in the first place. ## WHAT, WHY, WHAT NEXT in an analyst's week The dashboard handles the WHAT. The WHY currently eats the middle three days. The WHAT NEXT gets squeezed into Friday. AI shifts the allocation: the WHY takes minutes instead of days on the same data, and the WHAT NEXT finally gets the time it deserves. The work moves up the value chain without the analyst doing anything radically different. ## FAQ **Do I need a data readiness project before I can use AI for analysis?** No. If you are currently producing analysis the business trusts using the data you have, you have the data AI needs. The investigation pattern AI accelerates is the same one you already run by hand. The bottleneck is the manual cycle, not the data underneath. **Will AI replace business and financial analysts?** No. AI removes the mechanical assembly work that consumes most of an analyst's week. What remains, the hypothesis, the interpretation, the recommendation, has always required human judgment. Analysts using AI produce more analysis, faster, and spend more time on the high-value end of the work. **How does AI for analysts differ from the BI tools I already use?** BI tools surface what happened: pre-built reports, dashboards, scheduled metrics. They do not investigate why something happened or recommend what to do next. AI, applied against the same governed data, handles the investigation and recommendation phases that have historically been manual. It is an addition to the BI stack, not a replacement. **What is the fastest way to evaluate AI against my actual analyst workflow?** Pick the last variance investigation you ran by hand and try it against an AI-powered investigation tool. Did it surface the same drivers you found? Did it find one you missed? Did it produce the commentary faster than you could write it? Those answers tell you more than any readiness assessment. ## About this article Written by Mark Hudson, VP Product Marketing at eyko. eyko is a Decision Intelligence platform that helps finance, supply chain, and commercial teams move from data to decisions. --- title: eyko by business process url: https://eyko.ai/processes/ description: Browse eyko by business process. Each page reads the signals across your systems and returns a ranked Why and What Next, starting with Cash & Treasury Management. --- # eyko by business process This hub lists eyko by business process. Each process page maps the Ideas eyko runs for a function, shows a worked Why and What Next example, and links to the underlying Playbooks. eyko reads the signals across your systems and returns a ranked Why and What Next for the work your teams run every day. ## Processes - [Cash & Treasury Management](https://eyko.ai/processes/cash-treasury-management/): manage liquidity, working capital and financial-market risk. Twenty-four Ideas across seven sub-categories: cash forecasting and liquidity, receivables, payables, working capital, treasury and funding, FX and market risk, and treasury risk. - [Order-to-Cash](https://eyko.ai/processes/order-to-cash/): protect revenue on the way to cash. Ideas across five sub-categories: revenue growth and pricing, revenue leakage and margin protection, credit and customer risk, collections and cash flow, and revenue forecasting and performance. - [Source-to-Pay](https://eyko.ai/processes/source-to-pay/): control spend from sourcing to payment. Ideas across four sub-categories: cost and spend, supplier management, procurement controls, and accounts payable and cash. More processes join this list as they ship. --- title: See Your Cash Position Before the Week Turns | eyko url: https://eyko.ai/processes/cash-treasury-management/ description: Manage liquidity, working capital and financial-market risk. eyko reads the signals across your systems and returns a ranked Why and What Next for treasury. --- # Cash & Treasury Management This is a business process page in the eyko by business process series. It covers how treasury teams manage liquidity, working capital, and financial-market risk. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a treasury team can act on. Know what: your real cash position across accounts, entities and currencies. Know why: the drivers behind the gap, ranked, with the history they rhyme with. Know what next: the specific actions, timed, with the cash impact of each. ## The signals are already in your data, just scattered A treasury position is assembled from a dozen places: the general ledger in your ERP, daily bank feeds, the AR aging and the AP run, open FX positions, debt schedules and covenant terms, and the 13-week forecast that still lives in a spreadsheet. By the time those are reconciled, the cash call is already late. Traditional BI can show you yesterday's balance. It cannot tell you why next week's position is short, or what to do before the borrowing window closes. ## The Ideas, grouped into seven sub-categories Cash Forecasting & Liquidity: Cash Flow Prediction, Short Term Liquidity Forecasting, Cash Position Consolidation, Cash Variance Analysis, Cash Improvement Opportunities. Receivables Optimization: Customer Risk Prediction, Payment Timing Optimization, DSO Optimization, Collections Prioritization. Payables Optimization: Payment Timing Optimization, Dynamic Payment Strategy, Early Payment Discount Analysis. Working Capital Management: Working Capital Optimization, Cash Conversion Cycle Forecasting, Inventory Liquidity Optimization. Treasury & Funding: Debt Service Forecasting, Rate Sensitivity Modeling, Borrowing Requirement Forecasting, Capital Structure Optimization, Interest Expense Forecasting. FX & Market Risk: Currency Exposure Prediction, FX Hedging Optimization, Multi-Currency Cash Forecasting. Treasury Risk: Liquidity Stress Testing, Treasury Risk Assessment. Payment Timing Optimization appears in both Receivables and Payables. It is one Idea, counted once, for 24 unique Ideas. ## Worked example: Cash Flow Prediction Why: projected net cash falls 4.2M below the operating floor in week 3 of the 13-week horizon. Two drivers dominate. Receivables from three enterprise accounts are trending 18 days past terms, holding back 6.1M the forecast assumed would land in week 2. A scheduled debt service payment of 2.4M settles the same week. What next: accelerate collections on the three flagged accounts (a 7-day early-pay incentive recovers roughly 3.8M), defer the discretionary AP run for two non-critical vendors by 5 days to hold a further 1.5M without breaching terms, and pre-clear a 2M revolver draw before the bank cutoff so the option is ready if only collections move. ## Related pages - [eyko Ideas](https://eyko.ai/ideas/): the full library of pre-built Playbook starting points. - [eyko Beats](https://eyko.ai/eyko-beats/): the platform that reads your systems on a beat and returns Playbooks. --- title: Short Term Liquidity Forecasting | eyko Ideas url: https://eyko.ai/ideas/short-term-liquidity-forecasting/ description: Forecast cash across the next 13 weeks and see the weeks where the position runs short, before they arrive. --- # Short Term Liquidity Forecasting Forecast cash and headroom across the next 13 weeks, and surface the weeks where the position runs short. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Cash Position Consolidation | eyko Ideas url: https://eyko.ai/ideas/cash-position-consolidation/ description: Consolidate global cash into one view and surface trapped, idle, or underused balances. --- # Cash Position Consolidation Pull global balances into one view and find cash that is trapped, idle, or working too hard to reach. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Cash Variance Analysis | eyko Ideas url: https://eyko.ai/ideas/cash-variance-analysis/ description: Understand why cash missed the forecast, broken down by driver, so the next forecast is right. --- # Cash Variance Analysis Explain why actual cash diverged from forecast, by driver, not just by line. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Cash Improvement Opportunities | eyko Ideas url: https://eyko.ai/ideas/cash-improvement-opportunities/ description: Rank the highest-value cash actions for the next 90 days, by impact and effort. --- # Cash Improvement Opportunities Rank the actions that release the most cash over the next 90 days, by impact and effort. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: DSO Optimization | eyko Ideas url: https://eyko.ai/ideas/dso-optimization/ description: See what is driving DSO up and where the fastest reduction sits. --- # DSO Optimization Find the levers that pull Days Sales Outstanding down and bring collections forward. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Collections Prioritization | eyko Ideas url: https://eyko.ai/ideas/collections-prioritization/ description: Prioritize collections by expected cash recovered, not just by overdue balance. --- # Collections Prioritization Rank outstanding receivables by expected cash impact and payment probability, so effort lands where it pays. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Dynamic Payment Strategy | eyko Ideas url: https://eyko.ai/ideas/dynamic-payment-strategy/ description: Time supplier payments to balance liquidity, discounts, and the relationships that matter. --- # Dynamic Payment Strategy Time supplier payments to balance liquidity, discounts, and supplier relationships. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Early Payment Discount Analysis | eyko Ideas url: https://eyko.ai/ideas/early-payment-discount-analysis/ description: Find the early-pay discounts whose implied return beats your cost of cash. --- # Early Payment Discount Analysis Spot the suppliers where taking the early-pay discount beats the cost of holding the cash. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Cash Conversion Cycle Forecasting | eyko Ideas url: https://eyko.ai/ideas/cash-conversion-cycle-forecasting/ description: Forecast the cash conversion cycle and see which component is stretching it. --- # Cash Conversion Cycle Forecasting Project the cash conversion cycle forward and pinpoint what is lengthening it. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Inventory Liquidity Optimization | eyko Ideas url: https://eyko.ai/ideas/inventory-liquidity-optimization/ description: Find the inventory tying up cash, and the holdings worth clearing first. --- # Inventory Liquidity Optimization Identify the inventory that is tying up cash without earning its keep. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Borrowing Requirement Forecasting | eyko Ideas url: https://eyko.ai/ideas/borrowing-requirement-forecasting/ description: Forecast peak funding need by week, so you draw later, smaller, and at the right maturity. --- # Borrowing Requirement Forecasting Forecast when and how much you will need to draw, before the borrowing window closes. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Capital Structure Optimization | eyko Ideas url: https://eyko.ai/ideas/capital-structure-optimization/ description: Assess the debt mix and weigh funding alternatives against cost, flexibility, and covenants. --- # Capital Structure Optimization Assess current debt levels and weigh funding alternatives against cost and flexibility. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Interest Expense Forecasting | eyko Ideas url: https://eyko.ai/ideas/interest-expense-forecasting/ description: Forecast interest expense across rate scenarios and budget with a clear range. --- # Interest Expense Forecasting Project interest expense across rate scenarios, so the cost of debt holds no surprises. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: FX Hedging Optimization | eyko Ideas url: https://eyko.ai/ideas/fx-hedging-optimization/ description: Size and time FX hedges against forecast exposure, before it moves the number. --- # FX Hedging Optimization Size and time hedges against forecast currency exposure, before it moves the number. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Multi-Currency Cash Forecasting | eyko Ideas url: https://eyko.ai/ideas/multi-currency-cash-forecasting/ description: Forecast cash by currency and quantify the translation risk in the group position. --- # Multi-Currency Cash Forecasting Forecast cash by currency and quantify the translation risk sitting in the position. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Liquidity Stress Testing | eyko Ideas url: https://eyko.ai/ideas/liquidity-stress-testing/ description: Stress test liquidity against downside scenarios and see which constraint breaks first. --- # Liquidity Stress Testing Model adverse scenarios and see which constraint breaks liquidity first. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Treasury Risk Assessment | eyko Ideas url: https://eyko.ai/ideas/treasury-risk-assessment/ description: See the liquidity, funding, counterparty, and market risks to the treasury position, ranked. --- # Treasury Risk Assessment Surface the liquidity, funding, counterparty, and market risks that most threaten the position. This is a Cash & Treasury Management Idea page. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Cash & Treasury Management process](https://eyko.ai/processes/cash-treasury-management/). --- title: Stop Revenue Leaking on the Way to Cash | eyko url: https://eyko.ai/processes/order-to-cash/ description: Protect revenue on the way to cash. eyko reads pricing, billing, credit, and collections and tells you where revenue is leaking and who will pay late. --- # Order-to-Cash This is a business process page in the eyko by business process series. It covers how revenue teams protect revenue on the way to cash, across pricing, revenue leakage, credit risk, collections, and revenue forecasting. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a revenue team can act on. Know what: where revenue is leaking, who is slipping, and how the quarter is tracking. Know why: the drivers behind the leak and the slippage, ranked, with the accounts attached. Know what next: the specific actions, by account and product, with the revenue and cash impact of each. ## The signals are already in your data, just scattered An order-to-cash position is assembled from a dozen places: the CRM and order book, the pricing and contract terms, billing and invoicing, the AR aging, and the credit data behind each account. By the time those are reconciled, the leak has already happened and the slow payer has already slipped. Traditional BI can show you last quarter's revenue. It cannot tell you which contracts are underbilled, which customers are about to default, or which overdue accounts are worth chasing first. ## The Ideas, grouped into five sub-categories Revenue growth & pricing: Optimal Pricing, Discount Impact Modeling, Competitive Price Positioning, Multi-Product Bundle Optimization, Price Elasticity Modeling, Customer Price Sensitivity Modeling. Revenue leakage & margin protection: Revenue Leakage Detection, Quote-to-Cash Leakage Detection, Contract Compliance Monitoring, Margin Erosion Analysis, Pricing Exception Analysis. Credit & customer risk: Credit Risk Re-Scoring, Receivables Risk Prediction, Payment Default Prediction, Customer Financial Health Monitoring, Credit Limit Optimization. Collections & cash flow: Collections Prioritization, DSO Optimization, Cash Collection Forecasting, High-Risk Receivables Watchlist. Revenue forecasting & performance: Revenue Recognition Forecasting, Backlog Revenue Prediction, Sales Pipeline Conversion Analysis, Revenue Forecast Accuracy, Revenue Driver Analysis. ## Worked example: Revenue Leakage Detection Why: eyko finds 2.4M in annualized revenue leakage across four sources: 0.9M of underbilling on usage contracts, 0.7M of price escalations that were contracted but never applied, 0.5M of unmet contract minimums, and 0.3M of discount overrides outside policy. What next: fix the 0.9M of underbilling at the billing rules first, the fastest recovery. Apply the 0.7M of contracted escalations from next cycle. Enforce the 0.5M of minimums at renewal. Route the 0.3M of overrides through approval. Most of the 2.4M is recoverable within two quarters. ## FAQ **What is order-to-cash decision intelligence?** It is the layer above your CRM, billing, and AR reporting that explains where revenue is leaking, who is about to pay late, and how the quarter is tracking. BI shows you last quarter's revenue. eyko reads the signals across pricing, billing, credit, and collections, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **How is this different from our CRM and billing reports?** CRM and billing reports show you the numbers: pipeline, invoices, aging. They do not tell you which contracts are underbilled, which customers are about to default, or which overdue accounts are worth chasing first. eyko sits alongside those systems and answers the decision behind the number, with the drivers and the accounts attached. **What systems does eyko connect to for order-to-cash?** eyko reads from your CRM and order book, your pricing and contract terms, billing and invoicing, and the AR aging and credit data in your ERP, alongside the cloud data platform or BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including Salesforce, SAP, Oracle E-Business Suite, NetSuite, JD Edwards, Microsoft Dynamics, and Snowflake. **How does eyko find revenue leakage?** eyko reads billing against contract terms, pricing policy, and order data, and flags where revenue never makes it to cash: underbilling on usage contracts, contracted escalations that were never applied, unmet minimums, and discount overrides outside policy. It attributes each leak to a source and ranks the recovery by how fast the cash comes back. **Can eyko predict which customers will pay late?** Yes. eyko re-scores credit continuously from payment behavior and external signals, flags the accounts matching the pre-default profile before the first missed payment, and attaches the exposure to each. That turns a backward-looking aging report into an early-warning read on who is about to slip. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where revenue is leaking or which customers are about to slip. ## Related pages - [Cash & Treasury Management](https://eyko.ai/processes/cash-treasury-management/): where collections and credit risk feed the cash position and the funding plan. - [eyko Ideas](https://eyko.ai/ideas/): the full library of pre-built Playbook starting points. - [eyko Beats](https://eyko.ai/eyko-beats/): the platform that reads your systems on a beat and returns Playbooks. --- title: Margin Erosion Analysis | eyko Ideas url: https://eyko.ai/ideas/margin-erosion-analysis/ description: Find where gross margin is slipping and decompose the change into discounting, cost lag, and mix. --- # Margin Erosion Analysis Margin erosion analysis tracks gross margin by product, customer, and region, finds where it is deteriorating, and decomposes the change into its drivers. eyko separates discounting, input cost pass-through lag, and mix shift, so the fix targets the cause rather than the symptom, before several more cycles of erosion are booked. This is an Order-to-Cash Idea page, in the Revenue leakage and margin protection section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Gross margin has fallen 2.1 points over three quarters, concentrated in two product lines and one region. Decomposed, discounting accounts for 1.2 points, input cost pass-through lag for 0.6, and mix shift for 0.3. The recommended action is to tighten discount approval on the two affected product lines, pass through the lagging input cost increase, and treat mix as a separate pricing review. Acting on discounting and cost lag recovers most of the 2.1 points. ## FAQ **What is margin erosion analysis?** Margin erosion analysis tracks gross margin by product, customer, and region, finds where it is deteriorating, and decomposes the change into its drivers. eyko separates discounting, input cost pass-through lag, and mix shift, so the fix targets the cause rather than the symptom, before several more cycles of erosion are booked. **What data does this Playbook need?** It reads your revenue and cost of goods detail by product, customer, and region from your ERP general ledger, alongside pricing and discount records and any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start. **How does it separate the causes of margin loss?** The Playbook decomposes the change in gross margin into discounting, input cost pass-through lag, and mix shift, and attributes each to the specific products and regions where it occurs. That tells you which driver is doing the damage and which is structural, so effort lands on the cause you can actually move. **Can it monitor margin continuously, not just at quarter end?** Yes. The Playbook tracks margin on every beat rather than at the quarterly review, so a slip surfaces as it starts rather than after several cycles have been booked. It refreshes as revenue, cost, and discount data change, keeping the decomposition current. --- title: Pricing Exception Analysis | eyko Ideas url: https://eyko.ai/ideas/pricing-exception-analysis/ description: Surface the discounts and overrides that fall outside policy and quantify the margin they give away. --- # Pricing Exception Analysis Pricing exception analysis reviews every order against pricing policy and flags the discounts and overrides that fall outside it. eyko quantifies the margin given away and shows where the exceptions concentrate, by rep, account, and product, so enforcement lands where it actually matters rather than on the healthy majority of orders. This is an Order-to-Cash Idea page, in the Revenue leakage and margin protection section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example 1,200 orders this quarter carried a discount or override. 180 fell outside policy, giving away 0.4M in margin, concentrated in a small number of reps and accounts. The recommended action is to route the off-policy discount types through approval, coach the reps where exceptions concentrate, and set a threshold alert so the next out-of-policy order is caught before it books. ## FAQ **What is pricing exception analysis?** Pricing exception analysis reviews every order against pricing policy and flags the discounts and overrides that fall outside it. eyko quantifies the margin given away and shows where the exceptions concentrate, by rep, account, and product, so enforcement lands where it actually matters rather than on the healthy majority of orders. **What data does this Playbook need?** It reads your order and pricing detail, your discount and approval records, and your pricing policy from your ERP and CRM, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, and Salesforce, and there is no separate data project to start. **How does it know what is outside policy?** The Playbook reads your pricing policy, list prices, approved discount bands, and promo terms, and compares every order against it. Orders that breach an unapproved discount, an off-list price, an expired promo, or a manual override are flagged and grouped by reason, so the leakage is attributed rather than just totaled. **Can it catch exceptions before the order is booked?** Yes. Beyond the after-the-fact analysis, the Playbook can set a threshold alert that flags an out-of-policy order at the point of sale, so the breach is caught before it books rather than surfacing in next quarter review. --- title: Customer Financial Health Monitoring | eyko Ideas url: https://eyko.ai/ideas/customer-financial-health-monitoring/ description: Read payment behavior and external signals together for early warning of customer distress. --- # Customer Financial Health Monitoring Customer financial health monitoring combines each customer's payment behavior with external signals, credit changes, sector stress, and public events, to produce an early-warning read on distress. eyko attributes the risk to specific accounts and exposure and flags the ones accelerating toward default, while there is still time to act. This is an Order-to-Cash Idea page, in the Credit and customer risk section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Nine customers are showing distress signals, payment slowdown, a credit downgrade, or sector stress, representing 2.2M in exposure. Three of the nine are accelerating, with worsening signals over the last two cycles. The recommended action is to move the three accelerating accounts to shorter terms or prepayment now and tighten their limits, put the other six on active watch, and brief sales so commercial conversations account for the risk. ## FAQ **What is customer financial health monitoring?** Customer financial health monitoring combines each customer's payment behavior with external signals, credit changes, sector stress, and public events, to produce an early-warning read on distress. eyko attributes the risk to specific accounts and exposure and flags the ones accelerating toward default, while there is still time to act. **What external signals does it use?** Alongside your own payment-behavior data, it reads public signals such as credit-rating changes, sector stress, and public events like layoffs or restructuring, and connects them to the specific account in your book. That links risk sitting outside finance to the exposure inside it. **What data does this Playbook need?** It reads your AR and payment history from your ERP alongside external credit and market signals, and any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, and Salesforce, and there is no separate data project to start. **How early can it warn of customer distress?** Because it reads behavior and external signals continuously rather than waiting for a missed payment, it flags deterioration as the signals start to move, typically cycles before the account first pays late, so the warning arrives while shorter terms or tighter limits can still change the outcome. --- title: Credit Limit Optimization | eyko Ideas url: https://eyko.ai/ideas/credit-limit-optimization/ description: Rebalance credit limits so growth accounts get room and deteriorated accounts get pulled back. --- # Credit Limit Optimization Credit limit optimization reads each account's current risk and growth potential together and recommends a limit that balances the two. eyko frees headroom on low-risk growth accounts and pulls exposure back on accounts that have deteriorated, so the same book carries more revenue room and less risk. This is an Order-to-Cash Idea page, in the Credit and customer risk section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Across the book, limits are out of step with risk. 0.8M of headroom sits unused on low-risk, growing accounts that could take more, while 1.1M of limit sits on accounts whose risk has deteriorated since the limit was set. The recommended action is to raise limits on the low-risk growth accounts to unlock the 0.8M of throttled revenue and pull back the 1.1M of limit on deteriorated accounts to cut exposure. ## FAQ **What is credit limit optimization?** Credit limit optimization reads each account's current risk and growth potential together and recommends a limit that balances the two. eyko frees headroom on low-risk growth accounts and pulls exposure back on accounts that have deteriorated, so the same book carries more revenue room and less risk. **What data does this Playbook need?** It reads your AR and payment history, credit scores, and order and growth trends per account from your ERP and CRM, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, and Salesforce, and there is no separate data project to start. **How does it balance growth against risk?** It reads each account's re-scored risk and its growth trajectory together rather than in separate silos, then recommends a limit that reflects both. Low risk plus growth argues for more room; deteriorating risk argues for less, so the recommendation reflects the whole account, not just one side. **Can it recommend specific limits per account?** Yes. The Playbook produces an account-by-account recommendation, the direction and size of the change, with the risk and growth read behind it, so credit can review and apply concrete limits rather than a blanket policy. --- title: Cash Collection Forecasting | eyko Ideas url: https://eyko.ai/ideas/cash-collection-forecasting/ description: Predict incoming receipts by week from real payment behavior, with the accounts behind the number. --- # Cash Collection Forecasting Cash collection forecasting predicts incoming receipts by week from each customer's actual payment behavior rather than the due date. eyko adjusts for the accounts trending late and shows the accounts behind the forecast, so treasury plans on what will land, not what is owed. This is an Order-to-Cash Idea page, in the Collections and cash flow section. It includes a worked example with a ranked Why and a recommended What Next, shown with a chart visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Expected receipts are 12.4M over the next four weeks, 1.5M below the aging-based number, because six accounts are trending later than their terms. The shortfall concentrates in weeks two and three. The recommended action is to plan treasury to the 12.4M, push collections on the six late-trending accounts to recover the dip, and re-forecast weekly as behavior updates. ## FAQ **What is cash collection forecasting?** Cash collection forecasting predicts incoming receipts by week from each customer's actual payment behavior rather than the due date. eyko adjusts for the accounts trending late and shows the accounts behind the forecast, so treasury plans on what will land, not what is owed. **How is this different from an aging report?** An aging report shows what is owed and when it is due; it assumes everyone pays on time. The forecast reads each account's real payment behavior, adjusts for the ones trending late, and predicts what will actually arrive by week, with the gap to the aging number and the accounts driving it attached. **What data does this Playbook need?** It reads your AR, invoice, and payment history from your ERP, alongside any data platform you already run, to learn each customer's payment rhythm. It works with systems such as SAP, Oracle, NetSuite, and Workday, and there is no separate data project to start. **How often does the forecast update?** It re-forecasts on every beat as payments land and behavior shifts, so the weekly receipts view stays current rather than going stale between manual updates. Treasury sees the latest expected receipts whenever they look. --- title: High-Risk Receivables Watchlist | eyko Ideas url: https://eyko.ai/ideas/high-risk-receivables-watchlist/ description: An automated, ranked early-warning list of the overdue accounts that need attention now, and why. --- # High-Risk Receivables Watchlist The high-risk receivables watchlist is an automated, ranked early-warning list of the accounts that need attention now. eyko watches every account for risk triggers, payment slowdown, broken promises, disputes, and credit changes, and maintains the list with the trigger and the exposure attached, refreshed daily. This is an Order-to-Cash Idea page, in the Collections and cash flow section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example 23 accounts are on the watchlist, 4.1M in exposure, with five newly added this week. The most common triggers are payment slowdown and broken payment promises, followed by open disputes. The recommended action is to work the five newly added accounts first, escalate the broken-promise accounts to a firmer track, and resolve the disputes blocking payment. The watchlist refreshes daily. ## FAQ **What is the high-risk receivables watchlist?** The high-risk receivables watchlist is an automated, ranked early-warning list of the accounts that need attention now. eyko watches every account for risk triggers, payment slowdown, broken promises, disputes, and credit changes, and maintains the list with the trigger and the exposure attached, refreshed daily. **What triggers an account onto the list?** An account is flagged when it shows a risk signal, a payment slowdown, a broken payment promise, a new dispute, or a credit change, and the list is ranked by risk and exposure rather than balance. That keeps the freshest and largest risks at the top rather than whoever is simply most overdue. **What data does this Playbook need?** It reads your AR, payment history, promise-to-pay and dispute records from your ERP and collections system, alongside external credit signals and any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start. **How current is the list?** The watchlist refreshes daily, so an account that broke a promise or picked up a dispute today appears today rather than next week. The list always reflects current risk, not a snapshot from the last manual review. --- title: Sales Pipeline Conversion Analysis | eyko Ideas url: https://eyko.ai/ideas/sales-pipeline-conversion-analysis/ description: Read stage-by-stage conversion to show pipeline quality and where the forecast is at risk. --- # Sales Pipeline Conversion Analysis Sales pipeline conversion analysis reads conversion stage by stage and segment by segment, surfaces where it has dropped against the historical pattern, and translates the drop into a forecast risk. eyko shows pipeline quality rather than just size, so a soft quarter surfaces early enough to act on. This is an Order-to-Cash Idea page, in the Revenue forecasting and performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example The pipeline stands at 38M, but stage-two-to-three conversion in one segment has fallen from 41 percent to 32 percent, against a stable historical pattern. That drop alone puts roughly 3M of forecast at risk. The recommended action is to focus on that stage-two-to-three drop, inspect the deals for the common blocker, and adjust the forecast for the 3M at risk now rather than discovering it at close. ## FAQ **What is sales pipeline conversion analysis?** Sales pipeline conversion analysis reads conversion stage by stage and segment by segment, surfaces where it has dropped against the historical pattern, and translates the drop into a forecast risk. eyko shows pipeline quality rather than just size, so a soft quarter surfaces early enough to act on. **What data does this Playbook need?** It reads your opportunity and stage history from your CRM, alongside closed-deal outcomes and any data platform you already run, to compare current conversion against the historical pattern. It works with systems such as Salesforce and Microsoft Dynamics, and there is no separate data project to start. **How does it turn conversion into a forecast risk?** The Playbook compares current stage-to-stage conversion against each segment's stable historical rate, quantifies the gap, and applies it to the pipeline sitting in that stage. That converts a conversion drop into a concrete amount of forecast at risk rather than a vague concern. **Does it work across segments and teams?** Yes. It reads conversion by segment, team, and stage rather than as a single blended rate, so a weakness concentrated in one segment or team is isolated rather than averaged away, and effort lands where the conversion has actually dropped. --- title: Revenue Forecast Accuracy | eyko Ideas url: https://eyko.ai/ideas/revenue-forecast-accuracy/ description: Find where the forecast misses, and why, and surface the systematic bias so the next one is tighter. --- # Revenue Forecast Accuracy Revenue forecast accuracy measures forecast against actual over time, isolates where and why the forecast misses, and surfaces the systematic bias. eyko separates the segment that consistently over-forecasts from the parts that track, so the next forecast corrects for the error rather than repeating it. This is an Order-to-Cash Idea page, in the Revenue forecasting and performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Over the last four quarters, the forecast missed actual by an average of 4.2 percent, with a consistent over-forecast concentrated in one segment. Correcting that segment's bias lifts overall accuracy toward 2 percent. The recommended action is to apply a correction to the over-forecasting segment based on its measured bias, trust the segments that track, and re-measure each quarter so the correction stays current. ## FAQ **What is revenue forecast accuracy?** Revenue forecast accuracy measures forecast against actual over time, isolates where and why the forecast misses, and surfaces the systematic bias. eyko separates the segment that consistently over-forecasts from the parts that track, so the next forecast corrects for the error rather than repeating it. **What data does this Playbook need?** It reads your historical forecasts and actuals by segment, stage, and input from your CRM and ERP, alongside any data platform you already run, to measure error over time. It works with systems such as Salesforce, SAP, and NetSuite, and there is no separate data project to start. **How does it find forecast bias?** The Playbook compares forecast against actual across several quarters and looks for error that repeats in the same direction, a segment that over-forecasts every period, rather than random misses. A consistent directional error is the bias, and the Playbook attributes it to the segment, stage, or input behind it. **Can it correct future forecasts automatically?** It recommends a correction sized to each segment's measured bias and re-measures every quarter so the correction stays current as behavior changes. The team applies the adjustment to the next forecast, with the measured error behind it, rather than guessing at a haircut. --- title: Revenue Driver Analysis | eyko Ideas url: https://eyko.ai/ideas/revenue-driver-analysis/ description: Decompose the change in revenue into volume, price, mix, and churn, and act on the right lever. --- # Revenue Driver Analysis Revenue driver analysis decomposes the change in revenue into its drivers, volume, price, mix, and churn, so the team can see what is really moving the number. eyko surfaces when a healthy headline is masking a problem, like volume growth covering churn, so you act on the right lever rather than the net result. This is an Order-to-Cash Idea page, in the Revenue forecasting and performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Order-to-Cash process](https://eyko.ai/processes/order-to-cash/). ## Worked example Revenue rose 3.1M quarter on quarter. Decomposed, new and expanded volume added 4.0M and price added 0.8M, but churn and contraction took 1.7M back. The healthy headline hides a churn problem. The recommended action is to treat the 1.7M of churn as the priority over the 3.1M headline, trace the churn to its segments and causes, and protect the volume and price gains that are working. ## FAQ **What is revenue driver analysis?** Revenue driver analysis decomposes the change in revenue into its drivers, volume, price, mix, and churn, so the team can see what is really moving the number. eyko surfaces when a healthy headline is masking a problem, like volume growth covering churn, so you act on the right lever rather than the net result. **What data does this Playbook need?** It reads your revenue, order, and customer detail from your ERP and CRM, alongside any data platform you already run, so it can separate volume, price, mix, and churn. It works with systems such as SAP, Oracle, NetSuite, and Salesforce, and there is no separate data project to start. **How does it separate volume, price, and churn?** The Playbook breaks the period-over-period change into its components, new and expanded volume, price, mix shift, and churn and contraction, and attributes each to the customers and segments behind it. That turns a single net figure into the opposing forces underneath it. **Can it explain a revenue change for any period?** Yes. The decomposition works for any period you choose, quarter on quarter, year on year, or a custom window, so the same view explains a monthly movement or an annual one, with the drivers and the segments behind the change attached. --- title: Source-to-Pay | eyko by business process url: https://eyko.ai/processes/source-to-pay/ description: Control spend from sourcing to payment. eyko reads procurement, supplier, and AP signals and tells you where spend is leaking and which suppliers carry risk. --- # Source-to-Pay This is a business process page in the eyko by business process series. It covers how procurement teams control spend from sourcing to payment, across cost and spend, supplier management, procurement controls, and accounts payable. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a procurement team can act on. Know what: where the money goes, which suppliers carry risk, and where spend leaks off-contract. Know why: the drivers behind the leakage and the risk, ranked, with the suppliers and categories attached. Know what next: the specific actions, by supplier, category, and PO, with the savings and risk impact of each. ## The signals are already in your data, just scattered A source-to-pay position is assembled from a dozen places: the spend in your ERP, the contracts and negotiated rates, the supplier master and performance data, the requisition and PO flow, and the AP run. By the time those are reconciled, the maverick purchase is already paid and the at-risk supplier has already slipped. Traditional BI can show you last year's spend by category. It cannot tell you which spend went off-contract, which suppliers are about to disrupt you, or which invoices are about to get stuck. ## The Ideas, grouped into four sub-categories Cost & spend: Procurement Spend Analysis, Tail Spend Detection, Vendor Consolidation Analysis, Procurement ROI Prediction, Total Cost of Ownership Modeling, Material Price Prediction. Supplier management: Supplier Reliability Ranking, Vendor Performance Anomaly Detection, Supplier Risk Prediction, Supplier Sustainability Scoring, Supplier Diversity Scoring, Supplier Concentration Risk Analysis. Procurement controls: Purchase Order Anomaly Detection, Maverick Spend Detection, Contract Compliance Analysis, Purchase Price Variance Analysis, Requisition-to-PO Bottleneck Analysis. Accounts payable & cash: Accounts Payable Exception Prediction, Early Payment Discount Optimization. ## Worked example: Procurement Spend Analysis Why: across 180M in annual spend, the picture is more concentrated and more fragmented than the category reports suggest. Three categories hold 52 percent of spend, while a long tail of 1,200 suppliers accounts for just 8 percent, most of it off any strategic contract. What next: consolidate the long tail of 1,200 suppliers onto preferred contracts to recover leverage and cut transaction cost, and put the three concentrated categories under formal sourcing review. The tail alone is worth roughly 2 to 3M in addressable savings. ## FAQ **What is source-to-pay decision intelligence?** It is the layer above your procurement and AP reporting that explains where spend is leaking, which suppliers are about to disrupt you, and which invoices are about to get stuck. eyko reads the signals across procurement, suppliers, and AP, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **How is this different from our procurement suite, like Coupa or Ariba?** A procurement suite runs the source-to-pay process: sourcing events, catalogs, purchase orders, invoice workflow. eyko sits alongside it and answers the analytical questions it does not, like which spend went off-contract, which suppliers are about to disrupt you, and which invoices will stick. Many teams run eyko on top of Coupa, Ariba, an ERP, or all three. **What systems does eyko connect to for source-to-pay?** eyko reads from your ERP spend and AP, your procurement suite, the contracts and negotiated rates, and the supplier master, alongside the cloud data platform or BI tools you already use, including SAP, SAP Ariba, Coupa, Oracle E-Business Suite, NetSuite, JD Edwards, Workday, and Snowflake. **How does eyko find maverick spend?** eyko compares each purchase against your approved suppliers and negotiated contracts and flags the spend that ran outside them, paying list price where a contract rate exists. It quantifies the discount lost and shows where the off-contract spend concentrates by category and business unit. **Can eyko predict supplier disruptions?** Yes. eyko reads delivery slippage, quality trends, financial stress signals, and concentration together to flag the suppliers whose disruption risk is rising, and ranks them by impact so single-source critical suppliers surface first. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where spend is leaking or which suppliers carry risk. ## Related pages - [Cash & Treasury Management](https://eyko.ai/processes/cash-treasury-management/): where payment timing and discounts shape payables and liquidity. - [Order-to-Cash](https://eyko.ai/processes/order-to-cash/): where revenue leakage and credit risk drive the cash side of the business. - [eyko Ideas](https://eyko.ai/ideas/): the full library of pre-built Playbook starting points. - [eyko Beats](https://eyko.ai/eyko-beats/): the platform that reads your systems on a beat and returns Playbooks. --- title: Supplier Concentration Risk Analysis | eyko Ideas url: https://eyko.ai/ideas/supplier-concentration-risk-analysis/ description: Find where dependence on a few suppliers has become a single point of failure, and where to dual-source first. --- # Supplier Concentration Risk Analysis Supplier concentration risk analysis reads spend and sourcing by supplier and category and surfaces where dependence on a few suppliers has become a single point of failure. eyko flags the single-source critical categories and recommends where a second source is worth the cost, so resilience improves without giving up sourcing leverage. This is a Source-to-Pay Idea page, in the Supplier management section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Source-to-Pay process](https://eyko.ai/processes/source-to-pay/). ## Worked example The top five suppliers account for 38 percent of total spend, and one critical category is 90 percent single-sourced. A disruption to that one supplier stops a production line, not just a purchase order. The recommended action is to qualify a second source for the single-source critical category first, then set a concentration ceiling per category and route new spend to stay under it. ## FAQ **What is supplier concentration risk analysis?** Supplier concentration risk analysis reads spend and sourcing by supplier and category and surfaces where dependence on a few suppliers has become a single point of failure. eyko flags the single-source critical categories and recommends where a second source is worth the cost, so resilience improves without giving up sourcing leverage. **What data does this Playbook need?** It reads your spend and purchase-order detail by supplier and category from your ERP and procurement system, alongside the supplier master and any data platform you already run. It works with systems such as SAP, Coupa, Oracle, and NetSuite, and there is no separate data project to start. **How does it set a concentration tolerance?** The Playbook measures each category against a concentration ceiling, the share of spend you are comfortable routing through a single supplier, and flags the categories that exceed it. The ceiling is configurable, so a critical production input can carry a tighter tolerance than a commodity category. **Can it tell us where to dual-source first?** Yes. The Playbook ranks the exposures by impact, putting the single-source critical categories first, so procurement qualifies a second source where a disruption would hurt most rather than spreading dual-sourcing effort evenly across the book. --- title: Maverick Spend Detection | eyko Ideas url: https://eyko.ai/ideas/maverick-spend-detection/ description: Find the spend going outside approved suppliers and contracts, and where it concentrates. --- # Maverick Spend Detection Maverick spend detection reads purchases against approved suppliers and contracts and flags the spend that went outside them. eyko quantifies the discount lost to list pricing and shows where the off-contract spend concentrates by category and business unit, so procurement can redirect it onto contract. This is a Source-to-Pay Idea page, in the Procurement controls section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Source-to-Pay process](https://eyko.ai/processes/source-to-pay/). ## Worked example 14M of spend this year, about 8 percent of the total, went outside approved suppliers and negotiated contracts. It concentrates in two categories and a handful of business units that route around the preferred vendors, paying list price instead of the contracted rate. The recommended action is to redirect the 14M onto existing contracts to capture the discount, worth roughly 1.5 to 2M, and add a guided-buying step in the two categories where it concentrates. ## FAQ **What is maverick spend detection?** Maverick spend detection reads purchases against approved suppliers and contracts and flags the spend that went outside them. eyko quantifies the discount lost to list pricing and shows where the off-contract spend concentrates by category and business unit, so procurement can redirect it onto contract. **What data does this Playbook need?** It reads your purchase-order and invoice detail, your approved-supplier list, and your contract terms from your ERP and procurement system, alongside any data platform you already run. It works with systems such as SAP, Coupa, Oracle, and NetSuite, and there is no separate data project to start. **How does it know what is off-contract?** The Playbook compares each purchase against your approved suppliers and negotiated contracts. Spend that runs through a non-preferred vendor, or pays list price where a contract rate exists, is flagged as off-contract and grouped by category and business unit, so the leakage is attributed rather than just totaled. **Can it catch maverick spend before the purchase is made?** Beyond the after-the-fact view, the Playbook shows where off-contract spend concentrates so you can add a guided-buying step in those categories. That catches the next off-contract purchase at the point it is made rather than surfacing it at the next audit. --- title: Contract Compliance Analysis | eyko Ideas url: https://eyko.ai/ideas/contract-compliance-analysis/ description: Detect spend that is not aligned to negotiated rates, terms, or committed volumes, and recover it. --- # Contract Compliance Analysis Contract compliance analysis reads actual purchasing against contract terms every cycle and flags where price, terms, or volume commitments are not being met. eyko quantifies the leakage and attributes it to its cause, off-rate POs, missed volume tiers, or expired-contract spend, so procurement can recover it rather than finding it at audit. This is a Source-to-Pay Idea page, in the Procurement controls section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Source-to-Pay process](https://eyko.ai/processes/source-to-pay/). This is the supplier and spend side of contract compliance, distinct from the customer and revenue side covered by [Contract Compliance Monitoring](https://eyko.ai/ideas/contract-compliance-monitoring/). ## Worked example Across negotiated contracts, 2.2M of spend this year was billed above contracted rates or outside committed volumes, mostly from POs that did not reference the contract and volume tiers that were never reached. The recommended action is to link the off-contract POs to their contracts, consolidate buying to hit the volume tiers within reach, and renew or retire the expired contracts still being bought against. ## FAQ **What is contract compliance analysis?** Contract compliance analysis reads actual purchasing against contract terms every cycle and flags where price, terms, or volume commitments are not being met. eyko quantifies the leakage and attributes it to its cause, off-rate POs, missed volume tiers, or expired-contract spend, so procurement can recover it rather than finding it at audit. **What data does this Playbook need?** It reads your purchase-order and invoice detail and your contract terms, including negotiated rates and volume tiers, from your ERP and procurement system, alongside any data platform you already run. It works with systems such as SAP, Coupa, Oracle, and NetSuite, and there is no separate data project to start. **How is this different from maverick spend detection?** Maverick spend detection finds spend going outside approved suppliers and contracts entirely. Contract compliance analysis looks at spend that is on the right supplier and contract but still not getting the negotiated terms, an off-rate PO, a missed volume tier, or an expired contract. They are complementary checks on the same procurement flow. **Can it recover the leakage, not just flag it?** Yes. For each cause the Playbook recommends the specific move, linking an off-rate PO to its contract, consolidating buying to reach a volume tier, or renewing an expired contract, and orders them by recoverable amount, so procurement acts on the recovery rather than only seeing the number. --- title: Purchase Price Variance Analysis | eyko Ideas url: https://eyko.ai/ideas/purchase-price-variance-analysis/ description: Explain why you paid more than the price you agreed, decomposed by driver, so the leakage can be closed. --- # Purchase Price Variance Analysis Purchase price variance analysis measures the gap between the price you negotiated and the price you actually paid, and decomposes it into its drivers. eyko separates off-contract pricing, rush-order premiums, FX, and missed volume tiers, so the fix targets the cause rather than the symptom. This is a Source-to-Pay Idea page, in the Procurement controls section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Source-to-Pay process](https://eyko.ai/processes/source-to-pay/). ## Worked example Purchase price variance ran 1.8M unfavorable this year. Decomposed, off-contract pricing accounts for 0.8M, rush-order premiums for 0.5M, FX on imported materials for 0.3M, and missed volume tiers for 0.2M. The recommended action is to move off-contract buying back on contract, cut rush orders with better demand signals, and forward-buy or hedge the FX-exposed materials, each routed to its owner. ## FAQ **What is purchase price variance analysis?** Purchase price variance analysis measures the gap between the price you negotiated and the price you actually paid, and decomposes it into its drivers. eyko separates off-contract pricing, rush-order premiums, FX, and missed volume tiers, so the fix targets the cause rather than the symptom. **What data does this Playbook need?** It reads your purchase-order and invoice detail, your contract and price-list data, and FX rates from your ERP and procurement system, alongside any data platform you already run. It works with systems such as SAP, Coupa, Oracle, and NetSuite, and there is no separate data project to start. **How does it separate the causes of variance?** The Playbook attributes each line of variance to a driver, off-contract pricing, a rush-order premium, an FX move, or a missed volume tier, and aggregates them so the total resolves into named causes. That shows which driver carries the most variance and who owns the fix. **Can it monitor variance continuously?** Yes. The Playbook tracks purchase price variance on every beat rather than at the year-end review, so a driver that starts to grow surfaces as it happens. It refreshes as purchasing and price data change, keeping the decomposition current. --- title: Requisition-to-PO Bottleneck Analysis | eyko Ideas url: https://eyko.ai/ideas/requisition-to-po-bottleneck-analysis/ description: Find the approval delays that slow procurement down, and what they cost in rush premiums. --- # Requisition-to-PO Bottleneck Analysis Requisition-to-PO bottleneck analysis reads the procurement flow from requisition to purchase order, finds where requisitions stall, and attributes the delay to the step and the approver. eyko quantifies what the lag costs in rush premiums and missed windows, so procurement can clear the bottleneck rather than living with it. This is a Source-to-Pay Idea page, in the Procurement controls section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Source-to-Pay process](https://eyko.ai/processes/source-to-pay/). ## Worked example Median requisition-to-PO time is 6 days, but the average is 14, dragged by a tail of requisitions stuck 30 days or more. The bottleneck is a single approval step where 40 percent of the delay accumulates, concentrated in two cost centers. The recommended action is to set an escalation on that approval step and add an auto-approval threshold for low-value, on-contract requisitions so they skip the queue. ## FAQ **What is requisition-to-PO bottleneck analysis?** Requisition-to-PO bottleneck analysis reads the procurement flow from requisition to purchase order, finds where requisitions stall, and attributes the delay to the step and the approver. eyko quantifies what the lag costs in rush premiums and missed windows, so procurement can clear the bottleneck rather than living with it. **What data does this Playbook need?** It reads your requisition and purchase-order workflow timestamps, approval routing, and cost-center detail from your ERP and procurement system, alongside any data platform you already run. It works with systems such as SAP, Coupa, Oracle, and NetSuite, and there is no separate data project to start. **How does it find the bottleneck step?** The Playbook reads the timestamps at each stage of the flow and measures where time accumulates, separating the median from the long tail of stuck requisitions. It isolates the single step where the delay concentrates and the cost centers driving it, so the bottleneck is named rather than averaged away. **Can it tell us what the delay is costing?** Yes. The Playbook quantifies the cost of the lag in rush-order premiums and missed early-payment or contract windows, so the bottleneck has a dollar figure attached. That lets procurement prioritize the escalation where the delay is most expensive, not just longest. --- # AI-Powered Decision Intelligence URL: https://eyko.ai/beyond-bi/ eyko is the AI-powered Decision Intelligence platform. Business Intelligence answered what happened. It was never built to answer why, or what to do about it. AI can now close that gap, and eyko applies it to the decisions your business makes every day: it tells you why your numbers moved, and what to do next. This is a paid-campaign landing page aimed at senior buyers with AI budget to allocate: Chief Data Officer, Chief AI Officer, VP of Data and Analytics, Head of Transformation, CFO, and COO. ## What Decision Intelligence is Decision Intelligence is a three-step progression beyond reporting: - Descriptive ("What happened"): this is what Business Intelligence does. Dashboards and reports of the past. - Diagnostic ("Why it happened"): eyko reads your data, reasons about cause, and names the driver. - Prescriptive ("What to do next"): eyko recommends the next move, ranked, with the impact attached. eyko owns the diagnostic and prescriptive steps. Business Intelligence reports the past. Decision Intelligence drives the next decision. ## Why now AI can now read your data, reason about cause, and recommend action. That is what changed, and it is why decision intelligence is now possible where it was not before. eyko applies that capability to everyday business decisions. ## Proof it is real A real eyko Playbook holds the question, the why, and the recommended move in one place. Every eyko Signal arrives with a recommended Play, so insight becomes action rather than another chart to interpret. ## How it fits your stack eyko sits on top of the data platform and BI tools you already run. No migration, no new warehouse, no data project. Most teams see their first Playbook within a week. It works with cloud data platforms such as Snowflake, Databricks, Azure, and BigQuery, and with the major ERPs. ## Built for the budget-holder - SOC 2 Type II - Your data stays in your environment - Starts as a scoped pilot you can measure ## FAQ **What is the difference between Business Intelligence and Decision Intelligence?** Business Intelligence reports what happened through dashboards and reports. Decision Intelligence goes two steps further: it explains why a number moved (diagnostic) and recommends what to do next (prescriptive). eyko delivers the diagnostic and prescriptive layers on top of the data and BI tools you already use. **Do we need to replace our BI tools or data warehouse to use eyko?** No. eyko sits on top of the data platform and BI tools you already run. There is no migration, no new warehouse, and no data project. Most teams see their first Playbook within a week. **Who is eyko for?** Senior buyers responsible for AI and data investment: Chief Data Officers, Chief AI Officers, VPs of Data and Analytics, Heads of Transformation, CFOs, and COOs who want their AI budget to produce decisions, not more dashboards. **How does an eyko pilot work?** eyko starts as a scoped pilot you can measure. You bring a decision you keep getting stuck on, and eyko works on your kind of data to show why the numbers moved and what to do next. Your data stays in your environment, and eyko is SOC 2 Type II. --- --- title: Revenue at Risk from Supply Constraints | eyko Ideas url: https://eyko.ai/ideas/revenue-at-risk-from-supply-constraints/ description: Quantify the revenue likely to be lost to shortages, supplier issues, and bottlenecks. --- # Revenue at Risk from Supply Constraints Revenue at Risk from Supply Constraints links shortages, supplier issues, and capacity bottlenecks to the revenue they threaten, quantifies the exposure by cause, and separates what is recoverable through expediting and re-sequencing from what needs a supply decision, so the constraint is managed as a revenue problem. This is a Demand & Supply Planning Idea page, in the Portfolio & commercial performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Demand & Supply Planning process](https://eyko.ai/processes/demand-and-supply-planning/). ## Worked example Current shortages and supplier issues put 4.1M of revenue at risk this quarter, concentrated in two product families and one constrained plant. By cause, component shortage carries 1.8M, supplier delay 1.3M, and plant capacity 1.0M. About 1.6M of it is recoverable by re-sequencing and expediting; the rest needs a supply decision. The recommended action is to expedite the components and re-sequence the constrained plant to recover the 1.6M now, escalate the supplier delay with a backup source, and flag the residual 2.5M to commercial so sales can manage the affected accounts rather than be surprised at quarter end. ## FAQ **What is revenue at risk from supply constraints?** Revenue at risk from supply constraints links shortages, supplier issues, and capacity bottlenecks to the revenue they threaten, and quantifies the exposure by cause. eyko separates what is recoverable through expediting and re-sequencing from what needs a supply decision, so a constraint is managed as a revenue problem before it lands in the quarter's number. **What data does this Playbook need?** It reads demand and open orders, inventory and supply status, capacity and lead times, and the revenue and price behind each unit, from your ERP and planning systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, Kinaxis, and Snowflake, and there is no separate data project to start. **How does it link a shortage to revenue?** The Playbook maps each constrained SKU and plant to the open and forecast demand that depends on it, then values that demand at its revenue, so a unit shortage becomes a dollar figure. That connects the planning view of units short to the finance view of revenue at risk, on the same number. **Can it tell us how much is recoverable?** Yes. The Playbook separates the exposure that expediting and re-sequencing can still recover from the exposure that needs a supply decision, so you know which dollars to chase now and which to plan around. In the worked example, 1.6M of the 4.1M is recoverable this quarter. --- --- title: Margin Leakage by Product | eyko Ideas url: https://eyko.ai/ideas/margin-leakage-by-product/ description: Find the products where freight, rebates, and cost overruns are eroding margin. --- # Margin Leakage by Product Margin Leakage by Product reads landed margin against expected margin for each product, decomposes the gap into its causes, discounting, rebates, freight, and manufacturing cost overruns, and ranks the products where the leakage is worth closing. This is a Demand & Supply Planning Idea page, in the Portfolio & commercial performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Demand & Supply Planning process](https://eyko.ai/processes/demand-and-supply-planning/). ## Worked example Expected margin and landed margin diverge by 2.3M across the portfolio, concentrated in a handful of products. Decomposed, freight accounts for 0.9M, rebates for 0.7M, manufacturing cost overruns for 0.5M, and off-list discounting for 0.2M. The recommended action is to attack freight first, the largest cause, by reviewing lanes and modes on the affected products, tie rebates to the volumes they were meant to earn, and feed the manufacturing overruns back to operations. Each cause has a different owner, so the fix is targeted, and most of the 2.3M is recoverable. ## FAQ **What is margin leakage by product?** Margin leakage by product reads landed margin against expected margin for each product and decomposes the gap into its causes: discounting, rebates, freight, and manufacturing cost overruns. eyko ranks the products where the leakage is worth closing, so the erosion that hides below list margin is seen on the product line and assigned to an owner. **What data does this Playbook need?** It reads revenue, price, and cost of goods by product from your ERP, alongside freight and logistics cost, rebate and discount records, and manufacturing variance data, plus any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start. **How does it separate the causes of leakage?** The Playbook decomposes the gap between expected and landed margin into freight, rebates, manufacturing cost overruns, and off-list discounting, and attributes each to the specific products where it occurs. Because those charges are booked in logistics, sales, and manufacturing systems, bringing them onto one view is what makes the full erosion visible. **Can it monitor product margin continuously?** Yes. The Playbook tracks landed margin on every beat rather than at the quarterly review, so a product's erosion surfaces as it starts rather than after several cycles are booked. It refreshes as freight, rebate, cost, and revenue data change, keeping the decomposition current. --- --- title: See Demand-Supply Gaps Before They Cost | eyko url: https://eyko.ai/processes/demand-and-supply-planning/ description: eyko reads demand, inventory, capacity, and supply together, and tells you where the gaps are, what they cost, and what to do before they hit service or the P&L. --- # Demand & Supply Planning This is a business process page in the eyko by business process series. It covers how planning teams plan demand and supply with the financial impact attached, across demand intelligence and forecast accuracy, inventory and working capital optimization, supply performance and capacity, and portfolio and commercial performance. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a planning team can act on. Know what: where demand and supply are heading, where the gaps are, and what they cost. Know why: the drivers behind the forecast miss, the shortage, and the excess, ranked, with the SKUs and suppliers attached. Know what next: the specific actions, by SKU, location, and supplier, with the revenue, service, and working-capital impact of each. ## The signals are already in your data, just scattered A demand and supply plan is assembled from a dozen places: the demand forecast and recent orders, inventory across plants and warehouses, capacity and lead times, supplier performance, and the financials behind every unit. By the time those are reconciled, the stockout has already cost the sale and the excess is already written down. Traditional BI can show you last month's service level. It cannot tell you which products will short in week six, how much revenue that puts at risk, or which inventory to release without breaking service. ## The Ideas, grouped into four sub-categories Demand intelligence & forecast accuracy: Demand-Supply Gap Prediction, Demand Forecast Accuracy & Bias Analysis, Demand Sensing, Demand Anomaly Detection, Seasonal Pattern Recognition. Inventory & working capital optimization: Inventory Investment Optimization, Service Level & Safety Stock Optimizer, Multi-Echelon Inventory Optimization, Inventory Obsolescence Prediction, Stockout Probability Scoring. Supply performance & capacity: Disruption Vulnerability Scoring, Capacity Utilization Prediction, Lead Time Prediction, Replenishment Timing Optimization. Portfolio & commercial performance: Revenue at Risk from Supply Constraints, Product Mix Optimization, SKU Rationalization, Margin Leakage by Product. ## What planning teams get Demand-supply gaps seen weeks ahead, with the revenue and service impact attached. Working capital released from excess inventory, without dropping service. Earlier warning on the suppliers and SKUs most vulnerable to disruption. A read on which products and constraints actually put revenue at risk. ## FAQ **What is demand and supply planning decision intelligence?** It is the layer above your planning and reporting that explains where demand and supply are heading, where the gaps are, and what they cost. BI shows you last month's service level. eyko reads demand signals, inventory, capacity, and supply together, finds the drivers, and returns a ranked Why and What Next with the revenue, service, and working-capital impact attached. The goal is a decision, not just a dashboard. **How is this different from our planning system, like Kinaxis, Blue Yonder, o9, or SAP IBP?** A planning system runs the process: it holds the plan, the forecast, and the supply model. eyko sits alongside it and answers the analytical questions it does not, like which products will short in week six, how much revenue that puts at risk, and which inventory to release without breaking service. Many teams run eyko on top of Kinaxis, Blue Yonder, o9, or SAP IBP and their ERP together. **What systems does eyko connect to for demand and supply planning?** eyko reads demand, inventory, capacity, lead-time, and supplier data straight from the ERP and planning systems, alongside the data platform and BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including SAP, Oracle, NetSuite, JD Edwards, Kinaxis, Blue Yonder, o9, Snowflake, Power BI, and Tableau. **How does eyko predict demand-supply gaps?** eyko projects demand from orders, sales, and market signals and compares it against available supply, capacity, and lead times week by week, so a gap surfaces weeks before it becomes a stockout. It quantifies the units short and the revenue at risk, and flags the SKUs quietly building excess at the same time. **Can eyko quantify the revenue at risk from a supply constraint?** Yes. eyko maps each shortage, supplier issue, and capacity bottleneck to the demand that depends on it and values that demand at its revenue, so a constraint becomes a dollar figure. It separates what expediting and re-sequencing can recover from what needs a supply decision, so the constraint is managed as a revenue problem. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where demand will outrun supply or how much revenue a constraint puts at risk. title: Renewal Risk & Expansion Prediction | eyko Ideas url: https://eyko.ai/ideas/renewal-risk-expansion-prediction/ description: Predict which customers will renew, churn, or expand, with the upside attached. --- # Renewal Risk & Expansion Prediction Renewal Risk & Expansion Prediction scores every account on its likelihood to renew, churn, or expand from live usage, engagement, and payment signals, attributes the score to its drivers, and ranks the book so retention and expansion effort lands where it changes the outcome. This is a Revenue Performance Management Idea page, in the Revenue protection section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Revenue Performance Management process](https://eyko.ai/processes/revenue-performance-management/). ## Worked example Of the accounts up for renewal this quarter, eyko flags 14 as churn risks holding 3.6M of ARR, driven by falling usage and slipping payments, while 22 accounts show expansion signals worth 2.8M. The two groups need opposite playbooks. The recommended action is to put a retention play on the 14 at-risk accounts now, led by the specific driver behind each, and route the 22 expansion-ready accounts to their teams with the upsell trigger attached. Protecting the 3.6M and capturing the 2.8M are both quarter-shaping, and both are visible now. ## FAQ **What is renewal risk and expansion prediction?** Renewal risk and expansion prediction scores every account on its likelihood to renew, churn, or expand from live usage, engagement, and payment signals. eyko ranks the book and attaches the driver behind each score, so retention and expansion effort lands where it changes the outcome, while there is still time to act. **What signals does it use to predict churn?** The Playbook reads usage and engagement trends, payment behavior, and support and adoption signals from your CRM, billing, and product data. Falling usage and slipping payments are common churn drivers; rising adoption and a crossed usage threshold are common expansion signals. Each account is attributed to its specific drivers rather than scored as a black box. **What data does this Playbook need?** It reads renewal and contract data from your CRM, billing and payment history from your ERP or billing system, and product usage where available, alongside any data platform you already run. It works with systems such as Salesforce, HubSpot, NetSuite, and Snowflake, and there is no separate data project to start. **How early can it flag a renewal at risk?** Because it reads live behavior rather than waiting for the renewal date, the Playbook surfaces a churn risk as the signals appear, often months before the renewal is flagged in the CRM. That lead time is what lets a retention play change the outcome rather than confirm it. --- --- title: Cross Sell & Upsell Opportunity Analysis | eyko Ideas url: https://eyko.ai/ideas/cross-sell-upsell-opportunity-analysis/ description: Find the customers most likely to buy more, and the trigger behind it. --- # Cross Sell & Upsell Opportunity Analysis Cross Sell & Upsell Opportunity Analysis scores every customer's propensity to buy an additional product from buying patterns and usage, ranks the opportunities by expected value, and attaches the specific trigger so the next conversation is relevant, not random. This is a Revenue Performance Management Idea page, in the Revenue growth and expansion section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Revenue Performance Management process](https://eyko.ai/processes/revenue-performance-management/). ## Worked example Across the base, 120 accounts show high propensity for an additional product, 4.5M in expansion potential. The top 20 hold 2.8M, and they share a pattern: they have adopted two products and crossed a usage threshold that has historically preceded an expansion. The recommended action is to route the top 20 to their account teams with the specific product and the trigger attached, and sequence the medium tier into a structured nurture. The 2.8M is the warmest expansion in the book, and it is sitting in accounts you already serve. ## FAQ **What is cross-sell and upsell opportunity analysis?** Cross-sell and upsell opportunity analysis scores every customer's propensity to buy an additional product from buying patterns and usage, then ranks the opportunities by expected value. eyko attaches the specific trigger behind each one, so account teams approach the customers most likely to buy with a relevant reason rather than a blanket pitch. **What data does this Playbook need?** It reads order and product history, usage where available, and account data from your CRM and ERP, alongside any data platform you already run. It works with systems such as Salesforce, HubSpot, NetSuite, and Snowflake, and there is no separate data project to start. **How does it rank opportunities?** The Playbook ranks by expected value, combining the propensity to buy with the size of the likely purchase, so the largest warm opportunities surface at the top. The top tier, the medium tier, and the long tail are separated so effort is sequenced rather than spread evenly across the base. **Does it explain why a customer is likely to buy?** Yes. Each opportunity carries the specific trigger behind it, such as a second product adopted or a usage threshold crossed that has historically preceded an expansion. That turns a propensity score into a credible, specific reason for the next conversation. --- --- title: Customer Profitability Analysis | eyko Ideas url: https://eyko.ai/ideas/customer-profitability-analysis/ description: See which customers make money after discounts and cost-to-serve. --- # Customer Profitability Analysis Customer Profitability Analysis combines revenue, discounts, and cost-to-serve to produce true net profit by customer, surfaces the unprofitable accounts dragging the total, and shows where re-pricing or re-scoping recovers more than new volume would add. This is a Revenue Performance Management Idea page, in the Commercial profitability section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Revenue Performance Management process](https://eyko.ai/processes/revenue-performance-management/). ## Worked example After discounts and cost-to-serve, the top quartile of customers generates most of the profit, while the bottom decile, high-discount and high-service, is net unprofitable, dragging roughly 1.2M off the total. Volume and profit are not the same league table. The recommended action is to re-price or re-scope the unprofitable bottom decile rather than chase its volume, and protect and grow the profitable top quartile. Recovering the 1.2M drag is worth more than the next new logo at current terms. ## FAQ **What is customer profitability analysis?** Customer profitability analysis combines revenue, discounts, and cost-to-serve to produce true net profit by customer. eyko surfaces the unprofitable accounts dragging the total and shows where re-pricing or re-scoping recovers more than new volume would add, so the commercial focus follows profit rather than revenue. **How does it account for cost-to-serve?** The Playbook brings service, support, freight, and other cost-to-serve back to the customer line and nets it against revenue and discounts. That is the step manual analysis usually skips, and it is what exposes the high-service, high-discount accounts that look fine on revenue but are net negative on profit. **What data does this Playbook need?** It reads revenue, discount, and cost detail by customer from your ERP general ledger and order data, alongside service and support cost where available and any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start. **Can it show profitability by product as well as customer?** Yes. The same net-profit decomposition runs by product and by segment as well as by customer, so you can see which products and which customer tiers carry the profit and which erode it. That makes the re-pricing and re-scoping decisions specific rather than blanket. --- --- title: Sales Performance Intelligence | eyko Ideas url: https://eyko.ai/ideas/sales-performance-intelligence/ description: Find which teams, territories, and products consistently over or under-perform. --- # Sales Performance Intelligence Sales Performance Intelligence compares performance across teams, territories, and products on a like-for-like basis, surfaces consistent over and under-performance against opportunity, and attributes it to the drivers, so coaching and territory decisions rest on evidence. This is a Revenue Performance Management Idea page, in the Sales execution and governance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Revenue Performance Management process](https://eyko.ai/processes/revenue-performance-management/). ## Worked example Adjusted for territory opportunity, two teams consistently outperform and one consistently lags, missing attainment by 18 points across three quarters in a territory with average potential. The gap traces to a single stage of the cycle, not effort. The recommended action is to coach the lagging team on the specific cycle stage where it loses ground, lift the play the two outperformers use there, and re-balance the territory if the opportunity gap is structural. The fix is targeted at the driver, not a blanket push. ## FAQ **What is sales performance intelligence?** Sales performance intelligence compares performance across teams, territories, and products on a like-for-like basis, adjusting for the opportunity each faces. eyko surfaces the consistent over and under-performers and attributes the gap to its driver, so coaching and territory decisions rest on evidence rather than raw attainment or impression. **How does it adjust for territory differences?** The Playbook normalizes performance against the opportunity in each territory and segment, so attainment is read relative to potential rather than as a flat number. That is what lets it tell the difference between a team hitting quota in an easy patch and a team missing it in a hard one. **What data does this Playbook need?** It reads opportunity, pipeline, and closed-deal data from your CRM, alongside territory and quota data and any data platform you already run. It works with systems such as Salesforce, Microsoft Dynamics, HubSpot, and Snowflake, and there is no separate data project to start. **Can it find the driver behind under-performance?** Yes. Rather than only flagging that a team is behind, the Playbook traces the gap to its driver, often a single stage of the sales cycle where ground is lost consistently. That turns a performance number into a specific, coachable action rather than a blanket push. --- --- title: Quote Approval Intelligence | eyko Ideas url: https://eyko.ai/ideas/quote-approval-intelligence/ description: Flag the deals to approve, challenge, or escalate, before they close. --- # Quote Approval Intelligence Quote Approval Intelligence reads every quote against margin and discount guardrails, auto-approves the clean majority, and flags the few to challenge or escalate with the specific breach attached, so deals keep moving and margin is protected before signature. This is a Revenue Performance Management Idea page, in the Sales execution and governance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Revenue Performance Management process](https://eyko.ai/processes/revenue-performance-management/). ## Worked example Of 600 quotes this quarter, 480 are clean to auto-approve, 90 should be challenged for margin or discount outside the guardrails, and 30 should be escalated. The 90 challenged deals hold roughly 1.4M of margin at risk. The recommended action is to auto-approve the 480 clean quotes to keep deals moving, route the 90 to a margin review with the specific guardrail breach attached, and escalate the 30. This protects the 1.4M of margin without slowing the clean majority. ## FAQ **What is quote approval intelligence?** Quote approval intelligence reads every quote against margin and discount guardrails and sorts it into approve, challenge, or escalate. eyko auto-approves the clean majority and flags the few that breach a guardrail with the specific reason and the margin at risk attached, so deals keep moving and margin is protected before signature. **How does it decide what to challenge?** The Playbook checks each quote against your margin floors, discount thresholds, and terms policy. A quote that breaches one is flagged for challenge or escalation with the specific breach named, while quotes inside the guardrails are cleared to auto-approve. The rules are your guardrails, not generic ones. **What data does this Playbook need?** It reads quote, pricing, and discount data from your CPQ and CRM, alongside product cost and margin data from your ERP and any data platform you already run. It works with systems such as Salesforce, Microsoft Dynamics, SAP, and Snowflake, and there is no separate data project to start. **Does it slow down clean deals?** No. The point of the Playbook is the opposite: it auto-approves the clean majority so most quotes move without waiting on a human, and reserves review for the few that actually breach a guardrail. That protects margin without turning approval into a bottleneck. --- --- title: ESG Reporting Readiness | eyko Ideas url: https://eyko.ai/ideas/esg-reporting-readiness/ description: Assess whether your ESG data is complete, accurate, and auditable before the reporting deadline. --- # ESG Reporting Readiness ESG Reporting Readiness checks the data behind each required disclosure for completeness, quality, and consistency, flags the missing points, the data-quality issues, and the calculations that disagree across sources, and ranks them so the report is assurance-ready before the deadline. This is a Risk & Compliance Idea page, in the Governance, compliance & sustainability section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Risk & Compliance process](https://eyko.ai/processes/risk-and-compliance/). ## Worked example Of the data points required for the upcoming report, 68 percent are complete and auditable, 18 percent have data-quality issues, 14 percent are missing entirely, and three key calculations are inconsistent across source systems. As it stands, the report would not pass assurance. The recommended action is to close the 14 percent of missing data points first, the hard blockers, then resolve the data-quality issues and reconcile the three inconsistent calculations to a single source. Sequenced now, the report is assurance-ready before the deadline rather than scrambled at it. ## FAQ **What is ESG reporting readiness?** ESG reporting readiness assesses whether your sustainability data is complete, accurate, and auditable before the reporting deadline. eyko checks the data behind each required disclosure, flags the missing points, the quality issues, and the calculations that disagree across sources, and ranks them so the report is assurance-ready ahead of the deadline rather than scrambled at it. **What data does this Playbook need?** It reads the ESG inputs behind your required disclosures from your ERP, sustainability systems, and the spreadsheets where ESG data often lives, alongside any data platform you already run. It works with systems such as SAP, Oracle, Workday, and Snowflake, and there is no separate data project to start. **How does it know what is required for the report?** The Playbook maps your data against the disclosures required by the framework you report under, so completeness is measured against the actual reporting requirement rather than a generic checklist. Missing points, quality issues, and inconsistent calculations are all assessed relative to what the report needs. **How is this different from ESG metrics consolidation?** ESG metrics consolidation brings the metrics together into a single consistent view. ESG reporting readiness goes a step further and judges whether that data is good enough to report and pass assurance, flagging the gaps and inconsistencies that would draw findings. Consolidation assembles the data; readiness tells you whether it is ready to file. --- --- title: See and Protect the Revenue Engine | eyko url: https://eyko.ai/processes/revenue-performance-management/ description: eyko reads the signals across pricing, renewals, profitability, and sales execution, and tells you where revenue is at risk, where it can grow, and what to do. --- # Revenue Performance Management This is a business process page in the eyko by business process series. It covers how revenue leaders see and protect the whole commercial engine, across revenue protection, revenue growth and expansion, commercial profitability, pricing and commercial strategy, and sales execution and governance. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a commercial team can act on. Know what: where revenue is leaking, growing, and at risk, across the commercial engine. Know why: the drivers behind the leak, the churn, and the underperformance, ranked, with the accounts and deals attached. Know what next: the specific actions, by customer, product, and deal, with the revenue and margin impact of each. ## The signals are already in your data, just scattered Revenue performance is assembled from a dozen places: the CRM and the order book, pricing and discounting, renewals and the expansion pipeline, customer profitability after cost-to-serve, and the deals moving through approval. By the time those are reconciled, the customer has already churned and the underpriced deal is already signed. Traditional BI can show you last quarter's bookings. It cannot tell you which customers will churn, which deals to challenge before they close, or which customers lose money after discounts and service. ## The Ideas, grouped into five sub-categories Revenue protection: Revenue Leakage Detection, Renewal Risk & Expansion Prediction. Revenue growth and expansion: Cross Sell & Upsell Opportunity Analysis, Revenue Driver Analysis. Commercial profitability: Customer Profitability Analysis, Margin Erosion Analysis. Pricing and commercial strategy: Pricing Optimization, Price Elasticity Modeling. Sales execution and governance: Sales Performance Intelligence, Quote Approval Intelligence. ## What revenue leaders get Revenue leakage found and recovered, before it reaches the P&L. Earlier warning on the renewals at risk, with the expansion upside attached. Pricing and deal decisions that protect margin, deal by deal. A clear read on which customers and deals actually make money. ## FAQ **What is revenue performance management decision intelligence?** It is the layer above your CRM and revenue reporting that explains where revenue is leaking, which customers will churn or expand, and which deals to challenge before they close. BI shows you last quarter's bookings. eyko reads the signals across pricing, renewals, profitability, and sales execution, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **How is this different from our CRM and revenue reporting?** A CRM records the pipeline and a revenue report shows what closed. eyko sits alongside them and answers the analytical questions they do not, like which customers will churn, which deals give away margin, and which customers lose money after discounts and cost-to-serve. Many teams run eyko on top of Salesforce, Dynamics, or HubSpot alongside their ERP. **What systems does eyko connect to for revenue performance?** eyko reads from your CRM and CPQ, your order book and billing, and pricing and discount data, alongside the data platform and BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including Salesforce, Microsoft Dynamics, HubSpot, SAP, Oracle E-Business Suite, NetSuite, Snowflake, Power BI, and Tableau. **How does eyko predict renewals and churn?** eyko reads live usage, engagement, and payment behavior across the book and scores every account on its likelihood to renew, churn, or expand, attributing each score to its drivers. Falling usage and slipping payments flag a churn risk; rising adoption and a crossed usage threshold flag expansion, often months before the renewal date, with time to act. **Can eyko flag which deals to challenge before they close?** Yes. eyko reads every quote against your margin and discount guardrails, auto-approves the clean majority, and flags the few to challenge or escalate with the specific breach attached. That protects the margin at risk before signature without slowing the clean deals. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see where revenue is leaking or which customers are at risk. --- --- title: See Risk Before It Becomes Loss | eyko url: https://eyko.ai/processes/risk-and-compliance/ description: eyko reads the signals across controls, reporting, credit, treasury, and compliance, and tells you where exposure is building and what to do before it lands. --- # Risk & Compliance This is a business process page in the eyko by business process series. It covers how risk and finance teams see exposure before it becomes loss, across financial controls and fraud, financial reporting integrity, credit and receivables risk, treasury and financial market risk, and governance, compliance, and sustainability. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a risk and finance team can act on. Know what: where risk and exposure are building, across controls, reporting, credit, treasury, and compliance. Know why: the drivers behind the anomaly, the weakness, and the exposure, ranked, with the transactions and accounts attached. Know what next: the specific actions, by control, account, and report, with the loss or finding each one prevents. ## The signals are already in your data, just scattered A risk and compliance picture is assembled from a dozen places: the transaction and journal detail in the ERP, the close and reconciliation status, the credit and receivables data, the FX and rate exposures, and the controls and policies behind them. By the time those are reconciled, the fraudulent payment has cleared and the audit finding is already written. Traditional BI can show you last quarter's losses. It cannot tell you which transactions are anomalous now, which controls will fail the audit, or where exposure is building across the book. ## The Ideas, grouped into five sub-categories Financial controls & fraud: Fraud Detection, Financial KPI Anomaly Detection, Accounts Payable Exception Prediction, Expense Anomaly Detection. Financial reporting integrity: Financial Close Prediction, Intercompany Reconciliation Anomalies, Audit Readiness Prediction. Credit & receivables risk: Receivables Risk Prediction, Payment Default Prediction, Credit Risk Re-Scoring. Treasury & financial market risk: Financial Risk Scoring, Currency Exposure Prediction, Rate Sensitivity Modeling. Governance, compliance & sustainability: Regulatory Compliance Scoring, ESG Metrics Consolidation, ESG Reporting Readiness. ## What risk and finance teams get Anomalies and fraud caught before the loss, not found at audit. A close and audit you can predict, with the weaknesses fixed before the auditors arrive. A board-level view of exposure across credit, FX, liquidity, and operations. Compliance and ESG reporting that is ready, complete, and auditable on time. ## FAQ **What is risk and compliance decision intelligence?** It is the layer above your risk and compliance reporting that explains where exposure is building, which transactions are anomalous, and which controls will fail the audit. BI shows you last quarter's losses. eyko reads the signals across controls, reporting, credit, treasury, and compliance, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **How is this different from our GRC or audit tools?** A GRC or audit tool runs the process: it stores controls, tracks obligations, and documents findings. eyko sits alongside it and answers the analytical questions it does not, like which transactions are anomalous now, which control weaknesses will draw a finding, and where exposure is building across the book. Many teams run eyko on top of their GRC suite and ERP together. **What systems does eyko connect to for risk and compliance?** eyko reads transaction, journal, control, credit, and FX data straight from your ERP, alongside the data platform and BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including SAP, Oracle E-Business Suite, NetSuite, JD Edwards, Workday, Snowflake, Power BI, and Tableau. **How does eyko detect fraud and anomalies?** eyko reads payments, invoices, journals, and expenses for the patterns that signal fraud or error, such as duplicate vendor bank-detail changes, purchase orders split just under the approval threshold, and round-sum journals posted outside business hours. It ranks the flags by confidence, so the highest-risk transactions surface first out of hundreds of thousands no one could review by hand. **Can eyko predict audit findings before the audit?** Yes. eyko scores audit readiness and flags the control weaknesses most likely to draw findings, concentrated in areas like segregation of duties and journal approvals, so they can be remediated before fieldwork. That turns the audit from a backward-looking exam into a set of fixes made before the auditors arrive. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see which transactions are anomalous or where exposure is building. --- --- title: Logistics Cost-to-Serve: Find the Costly Accounts | eyko Ideas url: https://eyko.ai/ideas/logistics-cost-to-serve-analysis/ description: See which customers, products, and regions cost the most to serve, and what to do about it. --- # Logistics Cost-to-Serve Analysis Logistics Cost-to-Serve Analysis allocates freight and handling to customer, product, and region, surfaces the ones consuming disproportionate cost, and shows where re-pricing, order consolidation, or a mode change recovers margin. This is a Deliver & Return Idea page, in the Logistics cost & profitability section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Deliver & Return process](https://eyko.ai/processes/deliver-and-return/). ## Worked example Logistics runs 32M a year, and cost-to-serve is uneven: the top decile of customers by logistics cost consumes 34 percent of freight spend, and for a handful their logistics cost exceeds the margin they generate, small, frequent, remote orders. The recommended action is to re-price or consolidate the unprofitable high-cost customers with minimum order sizes, order consolidation, or a delivery surcharge, and shift them to lower-cost modes where service allows. The top decile is where cost-to-serve reduction pays. ## FAQ **What is logistics cost-to-serve analysis?** Logistics cost-to-serve analysis allocates freight and handling to customer, product, and region, so the true cost of serving each is visible rather than blended. eyko surfaces the customers, products, and regions consuming disproportionate cost and shows where re-pricing, consolidation, or a mode change recovers margin. **What data does this Playbook need?** It reads order and shipment detail, freight and handling cost, and customer and product data from your ERP and logistics systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, Manhattan Associates, and Snowflake, and there is no separate data project to start. **How does it allocate logistics cost to customers?** The Playbook attributes freight and handling to the orders that generated them, then rolls that up by customer, product, and region, accounting for order size, frequency, distance, and mode. That turns a blended freight bill into a per-customer cost-to-serve you can act on. **Can it find customers whose logistics cost exceeds their margin?** Yes. The Playbook nets allocated logistics cost against the margin each customer generates, so it surfaces the accounts that are net negative once freight and handling are counted, typically the small, frequent, remote orders that look fine on revenue alone. --- --- title: Carrier Performance & Spend Optimization | eyko Ideas url: https://eyko.ai/ideas/carrier-performance-spend-optimization/ description: Compare carriers on cost, reliability, and claims to optimize selection and contracts. --- # Carrier Performance & Spend Optimization Carrier Performance & Spend Optimization scores carriers across cost, on-time, transit time, and claims on a like-for-like lane basis, and recommends where to re-allocate volume and where the data gives leverage in the next contract. This is a Deliver & Return Idea page, in the Logistics cost & profitability section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Deliver & Return process](https://eyko.ai/processes/deliver-and-return/). ## Worked example Across 12 carriers and 24M of freight, cost and performance diverge. Two carriers cost about 15 percent above the lane average with worse on-time and higher claims, while two under-used carriers outperform on both. Re-allocating volume saves roughly 1.8M and lifts on-time. The recommended action is to move volume off the two overpriced under-performers to the two under-used outperformers, use the performance data as leverage in the next contract round, and re-score quarterly so allocation follows performance, not habit. ## FAQ **What is carrier performance and spend optimization?** Carrier performance and spend optimization scores carriers across cost, on-time, transit time, and claims on a like-for-like lane basis, then recommends where to re-allocate volume. eyko prices in the cost of failure alongside the rate, so freight follows the carriers that actually earn it rather than the incumbent. **What data does this Playbook need?** It reads carrier rates and freight spend, shipment and delivery records, on-time and transit-time data, and claims history from your TMS and ERP, alongside any data platform you already run. It works with systems such as SAP Transportation Management, Blue Yonder, Manhattan Associates, and Snowflake, and there is no separate data project to start. **How does it compare carriers fairly across lanes?** The Playbook normalizes each carrier against the lane it runs, so a carrier serving hard lanes is not penalized against one serving easy lanes. Cost, on-time, transit time, and claims are compared like-for-like, which is what makes the re-allocation recommendation defensible. **Can it support carrier contract negotiations?** Yes. The like-for-like performance and cost data is exactly the evidence a contract round needs: it shows where a carrier over-charges relative to its performance and where volume could move, giving procurement leverage grounded in the carrier's own record. --- --- title: Return Cost Recovery: What Returns Really Cost | eyko Ideas url: https://eyko.ai/ideas/return-cost-recovery-analysis/ description: Quantify what returns cost, and how much of it is recoverable. --- # Return Cost Recovery Analysis Return Cost Recovery Analysis quantifies return cost by type, identifies the recoverable value in refurbishment and resale, and flags the avoidable returns and double-paid transport, so returns become a recovery opportunity rather than pure cost. This is a Deliver & Return Idea page, in the Returns & reverse logistics section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Deliver & Return process](https://eyko.ai/processes/deliver-and-return/). ## Worked example Returns cost 4.2M a year across restocking, transport, and write-offs. eyko finds 1.5M is recoverable: returns being written off that could be refurbished or resold, and reverse transport being paid twice on avoidable returns. The recommended action is to refurbish or resell the returns being written off to recover the largest slice, consolidate reverse transport to cut the double-pay, and feed the avoidable-return causes back to the products driving them. 1.5M of the 4.2M is recoverable. ## FAQ **What is return cost recovery analysis?** Return cost recovery analysis quantifies what returns cost across restocking, reverse transport, and write-offs, and identifies how much of it is recoverable through refurbishment, resale, and better routing. eyko brings three separate cost pools onto one view and flags the recoverable value, so returns become a recovery opportunity rather than accepted loss. **What data does this Playbook need?** It reads returns and RMA records, reverse freight cost, restocking and handling cost, and write-off and disposition data from your ERP and warehouse systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, Manhattan Associates, and Snowflake, and there is no separate data project to start. **How does it find recoverable value in returns?** The Playbook examines each return's condition and disposition and identifies the units being written off that could be refurbished or resold, plus the reverse transport paid twice on avoidable returns. That is where the recoverable value sits, and the Playbook quantifies it rather than leaving returns as a single sunk number. **How is this different from returns pattern analysis?** Returns pattern analysis finds why products come back, the reasons, products, and customers driving returns. Return cost recovery analysis focuses on the money: what the returns cost once they are back and how much can be recovered. The two are complementary; pattern analysis reduces the returns, recovery analysis recovers value from the ones that happen. --- --- title: Warranty & Product Failure Intelligence | eyko Ideas url: https://eyko.ai/ideas/warranty-product-failure-intelligence/ description: Spot the recurring product failures driving warranty claims before they spread. --- # Warranty & Product Failure Intelligence Warranty & Product Failure Intelligence links claims and returns to failure patterns, by component, batch, and usage, flags emerging failures early, and quantifies the exposure if the pattern spreads across the installed base. This is a Deliver & Return Idea page, in the Returns & reverse logistics section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Deliver & Return process](https://eyko.ai/processes/deliver-and-return/). ## Worked example Warranty claims are rising on three products, and eyko links them to a common component failing about 60 days after sale, a pattern visible now on a small share of units. If it spreads across the installed base, claims exposure is roughly 2.1M. The recommended action is to escalate the common component to quality and the supplier now, while the failure is contained, and proactively service or recall the at-risk batch rather than wait for claims to arrive. Catching it at this share of units avoids most of the 2.1M exposure. ## FAQ **What is warranty and product failure intelligence?** Warranty and product failure intelligence links warranty claims and returns to the underlying product failures, by component, batch, and usage. eyko flags an emerging failure while it is still on a small share of units and quantifies the exposure if it spreads, so a recurring issue is caught before it becomes widespread. **What data does this Playbook need?** It reads warranty claim and return records, product, component, and batch data, and sale and service dates from your ERP, quality, and service systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start. **How does it link claims to a root cause?** The Playbook connects claims and returns across products and batches by shared component, failure mode, and time-to-failure, so claims that look unrelated individually are grouped into one root cause. That is what turns a rising claim count into an actionable component or batch issue. **How early can it flag an emerging failure?** Because it reads the failure pattern rather than waiting for claim volume, the Playbook surfaces an emerging failure while it is still visible on a small share of units, often well before a claims spike. That lead time is what lets a proactive service or recall contain the exposure rather than absorb it. --- --- title: Reverse Logistics Optimization: Route for Value | eyko Ideas url: https://eyko.ai/ideas/reverse-logistics-optimization/ description: Route returns by disposition to minimize cost and maximize recovery value. --- # Reverse Logistics Optimization Reverse Logistics Optimization recommends the disposition and route for each return based on its condition, value, and location, minimizing reverse transport and maximizing the value recovered. This is a Deliver & Return Idea page, in the Returns & reverse logistics section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [Deliver & Return process](https://eyko.ai/processes/deliver-and-return/). ## Worked example Returned products currently flow through one central facility regardless of disposition. eyko models routing by disposition, resell locally, refurbish, or dispose, that recovers about 0.9M more value and cuts reverse transport by routing each return to the nearest capable node. The recommended action is to route resaleable returns to the nearest resale channel instead of central processing, and send refurbishable units to the right facility rather than default disposal. The change recovers about 0.9M in value and cuts reverse transport at the same time. ## FAQ **What is reverse logistics optimization?** Reverse logistics optimization recommends the disposition and route for each return, resell, refurbish, repair, or dispose, based on its condition, value, and location. eyko routes each return to the path that recovers the most value at the lowest reverse transport cost, instead of running everything through one central process. **What data does this Playbook need?** It reads returns and RMA records, product condition and value, facility and channel locations, and reverse freight cost from your ERP and warehouse systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, Manhattan Associates, and Snowflake, and there is no separate data project to start. **How does it decide the disposition for a return?** The Playbook weighs each return's condition and resale or refurbishment value against the transport cost to the nearest capable node, and recommends the disposition and route that nets the most recovered value. That replaces a late, manual resell-or-dispose call with a per-return recommendation. **Can it reduce reverse transport cost?** Yes. By routing each return to the nearest capable node rather than a single central facility, the Playbook cuts the reverse miles spent moving goods the wrong way, so it lowers transport cost and raises recovered value at the same time. --- --- title: Protect Service and Margin to the Doorstep | eyko url: https://eyko.ai/processes/deliver-and-return/ description: eyko reads delivery, logistics cost, network, and returns signals together, and tells you which orders will miss, where cost leaks, and what to do about it. --- # Deliver & Return This is a business process page in the eyko by business process series. It covers how logistics teams protect service and margin from the warehouse to the doorstep and back, across delivery risk and service performance, logistics cost and profitability, network and capacity planning, and returns and reverse logistics. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a logistics team can act on. Know what: where deliveries will miss, where logistics cost leaks, and what returns are costing. Know why: the drivers behind the late delivery, the high cost-to-serve, and the return, ranked, with the orders and customers attached. Know what next: the specific actions, by order, lane, carrier, and product, with the service and margin impact of each. ## The signals are already in your data, just scattered A deliver-and-return picture is assembled from a dozen places: the order and fulfillment status, warehouse and labor capacity, carrier performance and freight cost, the logistics network, and the returns flowing back. By the time those are reconciled, the delivery has already missed and the return has already been written off. Traditional BI can show you last month's on-time rate. It cannot tell you which orders will miss this week, which customers cost more to serve than they earn, or how much of your returns cost is recoverable. ## The Ideas, grouped into four sub-categories Delivery risk & service performance: Last Mile Delivery Prediction, Inbound Shipment Risk Prediction, Fulfillment Bottleneck Prediction, Order-to-Delivery Cycle Optimization. Logistics cost & profitability: Logistics Cost-to-Serve Analysis, Shipping Cost Prediction, Transportation Mode Optimization, Carrier Performance & Spend Optimization. Network & capacity planning: Logistics Network Optimization, Warehouse Capacity Planning, Distribution Center Allocation. Returns & reverse logistics: Return Cost Recovery Analysis, Returns Pattern Analysis, Warranty & Product Failure Intelligence, Reverse Logistics Optimization. ## What logistics teams get Late deliveries seen before the promise is broken, with the orders and drivers attached. Logistics cost-to-serve made visible by customer, product, and region. A network and carrier mix that protects service at lower cost. Returns cost quantified, with the recoverable value identified. ## FAQ **What is deliver and return decision intelligence?** It is the layer above your logistics and returns reporting that explains which deliveries will miss, where cost-to-serve is leaking, and what returns are really costing. BI shows you last month's on-time rate. eyko reads delivery, logistics cost, network, and returns signals together, finds the drivers, and returns a ranked Why and What Next. The goal is a decision, not just a dashboard. **How is this different from our TMS or WMS?** A TMS or WMS runs the process: it plans shipments, manages the warehouse, and executes the moves. eyko sits alongside them and answers the analytical questions they do not, like which orders will miss this week, which customers cost more to serve than they earn, and how much of your returns cost is recoverable. Many teams run eyko on top of Manhattan, Blue Yonder, or SAP TM and their ERP together. **What systems does eyko connect to for delivery and returns?** eyko reads order, fulfillment, freight, carrier, and returns data straight from the ERP and your logistics systems, alongside the data platform and BI tools you already use. There is no separate data project to start. eyko pulls from the systems you run, including SAP, Oracle, NetSuite, JD Edwards, Manhattan Associates, Blue Yonder, SAP Transportation Management, Snowflake, Power BI, and Tableau. **How does eyko predict late deliveries?** eyko reads inbound shipment status, warehouse release and capacity, and carrier performance by region together, and flags the orders whose promised date is at risk before the promise is broken. It ranks them by value and risk, so the high-value at-risk deliveries surface first, with the driver behind each attached. **Can eyko quantify the cost of returns and what is recoverable?** Yes. eyko quantifies return cost across restocking, reverse transport, and write-offs, then identifies the recoverable value, returns being written off that could be refurbished or resold, and reverse transport paid twice on avoidable returns. That turns returns from an accepted sunk cost into a measured recovery opportunity. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see which deliveries will miss or how much of your returns cost is recoverable. --- --- title: Report ESG With Confidence, Cut Emissions | eyko url: https://eyko.ai/processes/esg-and-sustainability/ description: Report ESG with confidence and cut emissions where it counts. eyko reads your ESG and sustainability data and shows where the risk sits and what to act on. --- # ESG & Sustainability This is a business process page in the eyko by business process series. It covers how sustainability and finance teams report ESG with confidence and cut emissions where it counts, across ESG reporting & compliance, risk & governance, and sustainability performance. eyko connects to the systems where the signals already live, reads them on a beat, finds the drivers, and returns a ranked Why and What Next a sustainability and finance team can act on. Know what: where ESG data stands, where the risk sits, and what is driving emissions. Know why: the drivers behind the reporting gap, the compliance risk, and the emissions, ranked, with the units and suppliers attached. Know what next: the specific actions, by unit, supplier, and initiative, with the reporting, risk, and emissions impact of each. ## The signals are already in your data, just scattered ESG and sustainability data is scattered across the ERP, supplier records, facilities and logistics systems, and the spreadsheets behind every disclosure. By the time it is consolidated, the reporting gap is a deadline problem and the emissions hotspot is another year old. Traditional BI can show you last period's metrics. It cannot tell you whether the data is ready to pass assurance, which units and suppliers carry the most ESG risk, or which emissions drivers offer the biggest reduction. ## The Ideas, grouped into three sub-categories ESG reporting & compliance: ESG Reporting Readiness, ESG Data Quality Assessment, ESG Metrics Consolidation. Risk & governance: ESG Compliance Risk Assessment, Supplier ESG Risk Intelligence. Sustainability performance: Carbon Emissions Driver Analysis, Circular Economy Opportunity Detection, ESG Performance Improvement Opportunities. ## Worked example: ESG Reporting Readiness Why: of the data points required for the upcoming report, 68 percent are complete and auditable, 18 percent have data-quality issues, 14 percent are missing entirely, and three key calculations are inconsistent across source systems. As it stands, the report would not pass assurance. What next: close the 14 percent of missing data points first, the hard blockers, then resolve the data-quality issues and reconcile the three inconsistent calculations to a single source, so the report is assurance-ready before the deadline rather than scrambled at it. ## Worked example: Supplier ESG Risk Intelligence Why: of 340 suppliers, eyko flags 24 as high ESG risk, from weak environmental disclosure, labor and governance flags, and operations in high-carbon regions, together carrying about 18 percent of spend. Six are critical: high risk and hard to replace. What next: engage the six critical suppliers on remediation now, since switching is hard, put the other high-risk suppliers on an improvement plan or qualify alternatives, and weight new sourcing toward suppliers already meeting ESG criteria. ## Worked example: Carbon Emissions Driver Analysis Why: total emissions are about 42,000 tCO2e. Purchased goods and services (Scope 3 suppliers) account for 58 percent, logistics for 22 percent, facilities for 14 percent, and the rest for 6 percent. What next: target the high-carbon suppliers and lanes first, through supplier switching and mode shifts, where most of the reduction is. Facilities efficiency is a slower, smaller lever. Prioritize the reductions that also cut cost. ## What sustainability and finance teams get ESG reporting that is complete, accurate, and auditable before the deadline. Earlier warning on the units and suppliers at greatest ESG risk. A clear read on what is driving emissions, and the biggest reductions. Sustainability initiatives ranked by impact against cost. ## Systems eyko connects to eyko reads ESG and sustainability data straight from the ERP, supplier, facilities, and logistics systems, alongside your ESG and carbon platforms and the data stack you already run: SAP, Oracle, NetSuite, Workiva, Watershed, Persefoni, Snowflake, Power BI, and Tableau. There is no separate data project to start. ## FAQ **What is ESG and sustainability decision intelligence?** It is the layer above your ESG and sustainability reporting that explains where the data is not ready, where the compliance risk sits, and what is driving emissions. BI shows you last period's metrics. eyko reads the signals across the ERP, suppliers, facilities, and logistics, finds the drivers, and returns a ranked Why and What Next your sustainability and finance teams can act on. The goal is a decision, not just a disclosure. **How is this different from our ESG or carbon accounting platform?** An ESG or carbon platform collects and reports your metrics: it assembles the disclosure and calculates the footprint. eyko sits alongside it and answers the analytical questions it does not, like whether the data is ready to pass assurance, which suppliers and units carry the most ESG risk, and which emissions drivers offer the biggest reduction. Many teams run eyko on top of Workiva, Watershed, Persefoni, an ERP, or all of them. **What systems does eyko connect to for ESG and sustainability?** eyko reads ESG and sustainability data straight from the ERP, supplier, facilities, and logistics systems, alongside your ESG and carbon platforms and the data stack you already run. There is no separate data project to start. It works with systems such as SAP, Oracle, NetSuite, Workiva, Watershed, Persefoni, Snowflake, Power BI, and Tableau. **How does eyko check ESG reporting readiness?** eyko checks the data behind each required disclosure for completeness, quality, and consistency, then reports what share is complete and auditable, what has data-quality issues, and what is missing, and flags the calculations that disagree across source systems. That turns readiness into a known number ahead of the deadline rather than a discovery on the day. **Can eyko find our biggest emissions reduction opportunities?** Yes. eyko decomposes your footprint across purchased goods and services, logistics, facilities, and the rest, attributes each share to its driver, and ranks the reduction opportunities by size and feasibility, so effort goes to the high-carbon suppliers and lanes that carry most of the emissions rather than spreading thin. **Do we need a data warehouse first?** No. eyko connects to your source systems directly and can also read from a warehouse if you have one. You do not need to build or finish a data platform before you see whether your ESG data is ready to report or where your emissions are concentrated. --- --- title: ESG Data Quality Assessment | eyko Ideas url: https://eyko.ai/ideas/esg-data-quality-assessment/ description: Find the missing, inconsistent, and duplicate ESG data across business units before it reaches the report. --- # ESG Data Quality Assessment ESG Data Quality Assessment checks required ESG data across business units for completeness, consistency, and duplication, attributes the failures to their source, and ranks them so the data is fixed before it reaches the report. This is an ESG & Sustainability Idea page, in the ESG reporting & compliance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [ESG & Sustainability process](https://eyko.ai/processes/esg-and-sustainability/). ## Worked example Across business units, 22 percent of required ESG data points fail quality checks, missing values, inconsistent units, and duplicates, concentrated in two business units and in Scope 3 supplier data. Missing values account for 9 percent, inconsistent units for 8 percent, and duplicates for 5 percent. The recommended action is to fix the two business units driving most of the failures first, standardize units and de-duplicate at the source rather than in the report, and put a quality check on Scope 3 supplier data, the weakest area, before the next collection cycle. ## FAQ **What is ESG data quality assessment?** ESG data quality assessment checks the data behind your required disclosures for completeness, consistency, and duplication across business units, before the reporting deadline. eyko quantifies how much of the required data fails quality checks, splits the failure into missing values, inconsistent units, and duplicates, attributes each to its source, and ranks them so the data is fixed before it reaches the report. **What data does this Playbook need?** It reads the ESG inputs behind your required disclosures from your ERP, sustainability systems, supplier records, and the spreadsheets where ESG data often lives, alongside any data platform you already run. It works with systems such as SAP, Oracle, Workday, and Snowflake, and there is no separate data project to start. **How does it check ESG data quality?** The Playbook checks each required data point for completeness, unit and methodology consistency, and duplication, then attributes the failures to the business units and systems they come from. It weights Scope 3 supplier data, the weakest area, so the gaps that most threaten the report surface first. **How is this different from ESG reporting readiness?** ESG data quality assessment measures whether the underlying data is clean, complete, and consistent at the source. ESG reporting readiness judges whether the assembled data is good enough to report and pass assurance. Quality assessment fixes the inputs; readiness tells you whether the report is ready to file. --- --- title: ESG Compliance Risk Assessment | eyko Ideas url: https://eyko.ai/ideas/esg-compliance-risk-assessment/ description: Identify the business units, suppliers, and operations most at risk of failing ESG regulations or internal sustainability policy. --- # ESG Compliance Risk Assessment ESG Compliance Risk Assessment reads operations, suppliers, and policies against ESG regulations and internal standards, ranks the areas most likely to fail by likelihood and impact, and shows the specific rule or policy at risk. This is an ESG & Sustainability Idea page, in the Risk & governance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [ESG & Sustainability process](https://eyko.ai/processes/esg-and-sustainability/). ## Worked example Across units, suppliers, and operations, eyko flags nine areas at elevated risk of failing ESG regulations or internal policy, ranked by likelihood and impact. Three are high: two operations in a tightening regulatory region and one policy gap in procurement, four are medium, and two are on watch. The recommended action is to close the two high-risk operations gaps before the regulation tightens further, fix the procurement policy gap, and monitor the medium tier. Each area shows the specific rule or policy it is failing, so remediation is targeted. ## FAQ **What is ESG compliance risk assessment?** ESG compliance risk assessment reads your operations, suppliers, and policies against ESG regulations and internal sustainability standards, and flags the areas most likely to fail. eyko ranks each area by likelihood and impact and names the specific rule or policy at risk, so compliance exposure is a ranked, actionable list rather than a periodic manual review. **What data does this Playbook need?** It reads operational, supplier, and policy data from your ERP, sustainability and compliance systems, and supplier records, alongside any data platform you already run. It works with systems such as SAP, Oracle, Workday, and Snowflake, and there is no separate data project to start. **How does it rank compliance risk?** The Playbook scores each business unit, supplier, and operation on the likelihood of failing an ESG rule or internal policy and the impact if it does, then ranks them so the highest-likelihood, highest-impact areas surface first. Each ranked area carries the specific rule or policy it is at risk of failing. **Does it cover both regulations and internal policy?** Yes. The Playbook assesses exposure against external ESG regulations and against your own internal sustainability policies, so a gap where the business is quietly not meeting its own standard surfaces alongside a regulatory exposure, each with the rule or policy attached. --- --- title: Supplier ESG Risk Intelligence | eyko Ideas url: https://eyko.ai/ideas/supplier-esg-risk-intelligence/ description: Assess suppliers against ESG criteria to find the high-risk ones by exposure and improve supply-chain sustainability. --- # Supplier ESG Risk Intelligence Supplier ESG Risk Intelligence scores suppliers against ESG criteria, environmental disclosure, labor and governance, and regional factors, ranks the high-risk ones by exposure, and guides remediation and sourcing toward better performers. This is an ESG & Sustainability Idea page, in the Risk & governance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a ranked worklist visual. Part of the [ESG & Sustainability process](https://eyko.ai/processes/esg-and-sustainability/). ## Worked example Of 340 suppliers, eyko flags 24 as high ESG risk, from weak environmental disclosure, labor and governance flags, and operations in high-carbon regions, together carrying about 18 percent of spend. Six are critical: high risk and hard to replace. The recommended action is to engage the six critical suppliers on remediation now, since switching is hard, put the other high-risk suppliers on an improvement plan or qualify alternatives, and weight new sourcing toward suppliers already meeting ESG criteria. ## FAQ **What is supplier ESG risk intelligence?** Supplier ESG risk intelligence scores your suppliers against ESG criteria, environmental disclosure, labor and governance, and regional factors, and ranks the high-risk ones by exposure. eyko shows how many suppliers are high risk, what share of spend they carry, and which are critical because they are both high risk and hard to replace, so the supply-chain ESG exposure is ranked and actionable. **What data does this Playbook need?** It reads supplier, procurement, and spend data from your ERP and procurement suite, supplier ESG disclosures and audit records, and regional and sector signals, alongside any data platform you already run. It works with systems such as SAP, SAP Ariba, Coupa, Oracle, and Snowflake, and there is no separate data project to start. **How does it score suppliers on ESG?** The Playbook combines environmental disclosure quality, labor and governance flags, and regional factors such as operating in a high-carbon region into an ESG risk score per supplier, then ranks the high-risk ones by exposure and share of spend. Critical suppliers, high risk and hard to replace, surface at the top. **Can it guide sourcing decisions?** Yes. Beyond flagging risk, the Playbook recommends engaging critical suppliers on remediation, putting other high-risk suppliers on improvement plans or qualifying alternatives, and weighting new sourcing toward suppliers already meeting ESG criteria, so future spend lowers exposure rather than adding to it. --- --- title: Carbon Emissions Driver Analysis | eyko Ideas url: https://eyko.ai/ideas/carbon-emissions-driver-analysis/ description: Explain what is driving emissions across products, suppliers, facilities, and logistics, and rank the biggest reduction opportunities. --- # Carbon Emissions Driver Analysis Carbon Emissions Driver Analysis decomposes emissions across products, suppliers, facilities, and logistics, attributes them to their drivers, and ranks the reduction opportunities by size and feasibility, so effort goes to the biggest levers. This is an ESG & Sustainability Idea page, in the Sustainability performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [ESG & Sustainability process](https://eyko.ai/processes/esg-and-sustainability/). ## Worked example Total emissions are about 42,000 tCO2e. Decomposed, purchased goods and services (Scope 3 suppliers) account for 58 percent, logistics for 22 percent, facilities for 14 percent, and the rest for 6 percent. The largest reduction opportunity sits in a handful of high-carbon suppliers and lanes. The recommended action is to target the high-carbon suppliers and lanes first, the 58 and 22 percent, through supplier switching and mode shifts, where most of the reduction is. Facilities efficiency is a slower, smaller lever. Prioritize the reductions that also cut cost. ## FAQ **What is carbon emissions driver analysis?** Carbon emissions driver analysis decomposes your total emissions across products, suppliers, facilities, and logistics, and attributes each share to its driver. eyko turns a single tCO2e figure into a ranked breakdown and identifies the largest reduction opportunities by size and feasibility, so effort goes to the biggest levers rather than spreading thin. **What data does this Playbook need?** It reads activity and spend data from your ERP, supplier and procurement records, facilities and logistics systems, and your carbon or ESG platform, alongside any data platform you already run. It works with systems such as SAP, Oracle, NetSuite, Watershed, Persefoni, and Snowflake, and there is no separate data project to start. **Does it cover Scope 1, 2, and 3?** Yes. The Playbook decomposes emissions across scopes, including the Scope 3 purchased goods and services that usually carry most of the footprint and sit outside the organization, so the analysis reflects where the emissions actually are rather than only the parts that are easy to measure. **How does it rank reduction opportunities?** The Playbook ranks reduction opportunities by the size of the emissions they address and the feasibility of acting, so a large, addressable driver such as a high-carbon supplier or lane outranks a small or hard-to-change one. It also flags the reductions that cut cost as well as emissions. --- --- title: ESG Performance Improvement Opportunities | eyko Ideas url: https://eyko.ai/ideas/esg-performance-improvement-opportunities/ description: Rank the initiatives most likely to improve ESG performance, balancing cost, operational impact, and regulatory priority. --- # ESG Performance Improvement Opportunities ESG Performance Improvement Opportunities scores candidate initiatives on ESG impact against cost and operational disruption, weights them by regulatory priority, and ranks the few that move performance most for what they cost. This is an ESG & Sustainability Idea page, in the Sustainability performance section. It includes a worked example with a ranked Why and a recommended What Next, shown with a bar visual. Part of the [ESG & Sustainability process](https://eyko.ai/processes/esg-and-sustainability/). ## Worked example Of the initiatives on the table, eyko ranks the top few by ESG impact against cost and operational disruption. Three deliver most of the achievable improvement at moderate cost, while two high-profile initiatives cost far more than they move the score. The recommended action is to fund the three high-impact, moderate-cost initiatives first, re-scope or defer the two expensive, low-movement ones, and sequence against regulatory priority so the initiatives that also reduce compliance risk go first. ## FAQ **What is ESG performance improvement opportunity analysis?** ESG performance improvement opportunity analysis scores candidate ESG initiatives on impact against cost and operational disruption, weights them by regulatory priority, and ranks the few that move performance most for what they cost. eyko turns a set of competing proposals into a ranked shortlist so funding follows impact rather than which initiative is most visible. **What data does this Playbook need?** It reads initiative, cost, and operational data alongside your ESG performance metrics and compliance obligations, from your ERP, sustainability systems, and planning tools, plus any data platform you already run. It works with systems such as SAP, Oracle, Workday, and Snowflake, and there is no separate data project to start. **How does it balance impact against cost?** The Playbook scores each initiative on the ESG improvement it delivers and the cost and operational disruption it requires, then ranks them by impact per unit of cost. That surfaces the moderate-cost, high-movement initiatives and separates them from expensive proposals that move the score very little. **Does it account for regulatory priority?** Yes. The Playbook weights initiatives by regulatory priority, so the ones that also reduce compliance risk are distinguished from those that only improve optics and are sequenced to go first. Impact, cost, and regulatory priority are considered together rather than separately. --- title: "I Built Hubble for JD Edwards Reporting. Then I Started Over." url: https://eyko.ai/blog/i-built-hubble-for-jd-edwards-reporting-then-i-started-over/ description: "Paul Yarwood built Hubble for JD Edwards reporting. Here's why he started eyko instead, to close the gap reporting tools were never built to close." --- # I Built Hubble for JD Edwards Reporting. Then I Started Over. By Paul Yarwood, CEO at eyko and founder of Hubble Reporting (formerly Insight Reporting), on why building a market-leading JD Edwards reporting tool was not the end of the story. Hubble Reporting, used by over 1,000 customers to pull live JDE data into working reports without waiting on IT, answers what happened in the business. Customers kept coming back with two problems reporting could not solve: JD Edwards only holds part of the business, and even a clean report cannot explain why a number moved or what to do about it. eyko exists to close that second gap, working alongside JD Edwards reporting tools rather than replacing them. ## The tools are good. That is not the problem. Hubble by insightsoftware, ReportsNow, and QuickLaunch Analytics are all strong JD Edwards reporting tools, built by people who understand JDE deeply. Yarwood built one of them. They share the same ceiling: they show what happened, faster and more flexibly than native JDE reporting or One View. Understanding what happened is the easiest question for most businesses to answer today, because most have already solved their reporting requirements. ## The Decision Gap When a finance leader spots a number that looks wrong, the real work starts: an analyst pulls extracts, someone cross-references the CRM, meetings follow meetings, and two or three weeks later the team has a theory about why the number moved and a proposal for what to do. By then the number has moved again. Business intelligence made "what happened" fast and cheap and left "why" and "what next" as slow, manual, expensive work. eyko calls this the Decision Gap. ## How eyko closes it eyko connects to JD Edwards alongside CRM, HR, supply chain, and 100+ other business systems, and adds three capabilities reporting tools were never designed to provide. [Playbooks](https://eyko.ai/playbooks/) are structured, evidence-based briefings that work through a business question in three layers: what happened, why it happened, and what to do next, with a narrative, root cause analysis, supporting evidence, and prioritized recommended actions. [Conversations](https://eyko.ai/conversations/) let you ask follow-up questions in plain language and get structured answers grounded in your actual numbers, with no SQL and no ticket to IT. [Pulses](https://eyko.ai/pulses/) give live, interactive cards, tables, and charts you can explore with natural language, with Discover surfacing insights, trends, anomalies, risks, and opportunities on each card, along with the recommended next action. Together they compress the Decision Gap from weeks to hours. ## What this means if you run JD Edwards Oracle has committed to JD Edwards Premier Support into the late 2030s, so there is no need to migrate or bolt on a data warehouse project to get better answers. Keep an existing reporting tool if it is working; eyko adds the why and the what next on top. If reporting is not solved yet, eyko can handle that too, without stopping there. ## FAQ **What is the best reporting tool for JD Edwards?** Hubble by insightsoftware, ReportsNow, and QuickLaunch Analytics are all strong JD Edwards reporting tools. Each gives finance and operations teams faster, more flexible access to live JDE data than native reporting. They are built to answer what happened. If you also need to know why it happened and what to do next, that requires a decision intelligence layer like eyko, which works alongside these tools rather than replacing them. **What is the Decision Gap?** The Decision Gap is the distance between seeing a problem in a report and deciding what to do about it. BI tools made it fast to see what happened, but the investigation into why, and the work of deciding what to do next, remained slow and manual. In most organizations that gap takes weeks of analyst time, extracts, and meetings. **Does eyko replace Hubble, ReportsNow, or QuickLaunch Analytics?** No. eyko sits above your existing JD Edwards reporting tools as a decision layer. Your reporting tool answers what happened. eyko explains why it happened and recommends what to do next, using your live data as evidence. **Can I do my JD Edwards reporting in eyko?** Yes. eyko was not built to replace JD Edwards reporting tools, and it works alongside them as a decision layer. But if you are unhappy with your existing reporting provider, or do not have one, eyko can handle your JD Edwards reporting requirements as well as supplying the why and the what next. **What are eyko Playbooks?** Playbooks are structured, evidence-based briefings generated from your live business data. Each Playbook works through a specific business question in three layers: what happened, why it happened, and what to do next. The output includes a narrative analysis, root cause identification, supporting visualizations, and prioritized recommended actions. **What are eyko Pulses and Conversations?** Pulses surface your live business data as interactive cards, tables, and charts you can explore and drill into using natural language, with no analyst configuration required. Each Pulse card includes Discover, which surfaces signals such as insights, trends, anomalies, risks, and opportunities, along with recommended next actions. Conversations let you ask follow-up questions in plain English and get structured answers grounded in your actual data, including inline tables and charts. **Does eyko require a data warehouse?** No. eyko connects directly to your business systems, including JD Edwards, without a data warehouse project. That makes it a practical option for organizations that have outgrown Excel and traditional BI but want to avoid warehouse complexity. **Can eyko combine JD Edwards data with other business systems?** Yes. eyko connects to over 100 business systems, so JD Edwards data can be analyzed alongside CRM, HR, supply chain, and other sources. Playbooks and Conversations work across all connected systems, giving you answers based on the whole business rather than a single application. --- --- title: "The Decision Intelligence Business Case: What Finance and Operations Leaders Need to Know in 2026" url: https://eyko.ai/blog/decision-intelligence-business-case/ description: "How finance and operations leaders build a compelling decision intelligence business case, from leakage detection to decision speed and ROI." --- # The Decision Intelligence Business Case: What Finance and Operations Leaders Need to Know in 2026 By Mark Hudson, VP Product Marketing at eyko. Interest rate swings, volatile tariffs, supply chain fragility, contract complexity, and margin pressure have compressed the window between a signal appearing in your data and the moment that signal becomes a problem you cannot fix cheaply. Organizations navigating this well are not doing so because they have better data. They have better decision infrastructure. This is the business case for that infrastructure, with published benchmarks behind every number. ## What decision intelligence is, and how it differs from business intelligence Business intelligence answers what happened by aggregating and visualizing data. Decision intelligence works on what comes next: it investigates why a number moved, tests plausible causes against live data, and sets out what to do about it. The investment is not visibility, which most organizations already have. It is buying back the interval between a number moving and someone acting on it. ## The five components of a decision intelligence business case A credible business case breaks into five measurable components, each with a published benchmark. Decision speed is the time from a number moving to a decision made. APQC's cross-industry benchmarking puts the median financial close at 6.4 calendar days, but the close only tells you the numbers are final, not why they moved, and that investigation often takes weeks of manual effort. Decision accuracy is the cost of forecast error: Xactly's 2024 research found only 20% of sales organizations landed within 5% of their forecast, and 66% pointed to reporting systems unable to reach historical CRM data. Decision coverage is how much of the business actually gets analyzed: Vena's 2026 FP&A Impact Report found 90% of finance teams still use Excel for at least some modeling, leaving the long tail of accounts, contracts, and suppliers unreviewed. Unmanaged leakage is value eroding right now: World Commerce and Contracting's research with Deloitte puts average value erosion from poor contracting practice at 8.6% of annual revenue, against roughly 3% for high performers. Decision agility is how many scenarios a team can genuinely evaluate in a week: Deloitte's Q1 2026 CFO Signals survey found 52% of CFOs redirecting operating expense investments and 46% redirecting capital expenditure in response to cost pressure, which depends on how fast a team can model an alternative. ## What decision intelligence adds that consulting does not Consulting and decision intelligence serve different purposes, and neither replaces the other. Consulting fits one-time structural questions, such as exiting a segment or restructuring an operating model, where you are buying judgment, external benchmarks, and the capacity to land a hard change. Decision intelligence fits recurring operational decisions that repeat monthly and need a consistent method, such as which accounts are slipping or why margin moved in a region. The test is frequency: a question that arises every three years suits consultants; a question that arises every month is a decision infrastructure gap. ## How to tell whether your organization is ready Readiness depends less on data maturity than most vendors suggest. The usual advice is to clean and consolidate your data first, then apply intelligence on top, but that sequence keeps projects in preparation for years and it is not the sequence eyko requires. The strongest candidates are ERP-centric companies whose data still lives in the transactional systems, JD Edwards, Oracle EBS, NetSuite, or SAP, with a layer of extracts and Excel above it. Inconsistent coding, uneven field usage, and gaps in master data do not disqualify you, and a data warehouse helps if you have one but is not required. Three things matter: someone owns the decisions in question, those decisions recur often enough to be worth systemizing, and security clears. On security, ask for the SOC 2 report itself, not a summary. eyko is SOC 2 certified and publishes its controls through a public Trust Center. ## Where to start Pick one process and one decision, not a function or a transformation program. Order-to-Cash is usually the best first choice because the exposure is quantified and the owner is obvious. Run it in parallel with the existing process for one full cycle, then compare the answer and the elapsed time honestly before expanding by decision rather than by department. ## What the decision intelligence market looks like in 2026 The category is established and the label is crowded. Deloitte's Q4 2025 CFO Signals survey found 87% of CFOs expect AI to be very or extremely important to finance operations this year, while its Q2 2026 survey found 46% naming cost transparency as their biggest internal AI concern. Platforms sold as decision intelligence span decision automation, decision support and modeling, governance frameworks, and Playbook-based analysis such as eyko Beats. They solve different problems, and the question to bring to any vendor is which decision, made by whom, gets made differently after it is installed. ## Frequently Asked Questions **What is decision intelligence and how is it different from business intelligence?** Business intelligence answers what happened by aggregating and visualizing data. Decision intelligence works on what comes next. It investigates why a number moved, tests plausible causes against live system data, and recommends what to do about it. BI delivers visibility. Decision intelligence removes the manual investigation that sits between seeing a number change and acting on it. **What are the five components of a decision intelligence business case?** Speed, accuracy, coverage, leakage, and agility. Speed measures the interval from a number moving to a decision made. Accuracy measures forecast error and its causes. Coverage measures how much of the business gets analyzed versus skipped. Leakage measures value eroding now through unmanaged contracts and pricing. Agility measures how many scenarios a team can genuinely evaluate in a week. **What does decision intelligence add that consulting does not?** They serve different purposes and neither replaces the other. Consulting fits one-time structural questions where you are buying judgment, benchmarks, and the capacity to land hard change. Decision intelligence fits recurring operational decisions that repeat monthly and need consistent method. The test is frequency. Questions arising once every three years suit consultants. Questions arising every month need decision infrastructure. **How do I know if my organization is ready for decision intelligence?** Readiness depends less on data maturity than most vendors suggest. Clean, consolidated data is not a prerequisite, and inconsistent coding or gaps in master data do not disqualify you. A data warehouse helps if you have one but is not required. What matters is that someone owns the decisions in question, that those decisions recur often enough to be worth systemizing, and that security review clears. **Where should a finance team start with decision intelligence?** Start with one process and one decision that currently takes weeks and gets made monthly. Order-to-Cash is usually the best first choice because exposure is quantified and ownership is clear. Run it alongside the existing process for one full cycle, then compare both the answer and the elapsed time. Expand by decision rather than by department. **What does the decision intelligence market look like in 2026?** The category is established and the label is crowded. Deloitte found 87% of CFOs expect AI to be very or extremely important to finance operations in 2026, while 46% name cost transparency as their biggest internal AI concern. Platforms sold as decision intelligence span decision automation, modeling, governance, and Playbook-based analysis. Those approaches solve different problems. **How much is decision latency costing my business?** Size it from three figures specific to your organization. Current value erosion in dollars, using World Commerce and Contracting's average of 8.6% of annual revenue as a starting benchmark. The cost of your last four forecast misses. The exposure sitting in accounts, contracts, and suppliers that nobody reviewed last quarter. Then state the latency reduction you expect, which is weeks to hours.