# eyko

> eyko is a Decision Intelligence company. eyko Beats connects to the business systems organizations already run, including ERP, CRM, finance, supply chain, and operations platforms, and generates AI Playbooks that explain what happened, why it happened, and what to do next. eyko Beats is not a dashboard, a report, or a copilot. It delivers structured, evidence-based business briefings with root cause analysis and recommended actions, ready for executive review.

## Product

- [Homepage](https://eyko.ai/): What eyko is, who it serves, and how it works.
- [Are you ready for decision intelligence?](https://eyko.ai/are-you-ready-for-decision-intelligence/): Objection-handling page for cautious buyers. Covers the four concerns prospects raise most often (time, data quality, AI skepticism, business uniqueness) with a calm, credible answer to each.
- [Better Decisions Are Closer Than You Think](https://eyko.ai/better-decisions/): Architectural fit page for prospects who already have BI in place. Explains how eyko adds a decision layer on top of existing reports, dashboards, data platforms, and business systems without a rebuild.
- [Why eyko?](https://eyko.ai/why-eyko/): Product differentiation page. Three structural differences explained in depth: Playbooks built around problems (not data views), decision velocity in minutes (not days), and Skills that load business context into every analysis.
- [Data to Dollars](https://eyko.ai/data-to-dollars/): The ROI hub. Quantifies AI Playbook outcomes in dollars made and dollars saved across 12 scenarios and 6 functions, with a per-function table of typical first-Playbook value and time saved.
- [eyko Beats for Analysts](https://eyko.ai/eyko-beats-for-analysts/): Audience page for business analysts and BI professionals. Reassures the analyst audience that Playbooks augment their role (handling data assembly, formatting, and initial investigation) so they can spend more time on strategy and advisory work.
- [eyko Beats](https://eyko.ai/eyko-beats/): The core Decision Intelligence platform that generates AI Playbooks from connected business systems.
- [Purpose-built AI for JD Edwards](https://eyko.ai/decision-intelligence-for-jd-edwards/): Purpose-built AI for JD Edwards EnterpriseOne and World. Translates cryptic tables and field codes (F0911, F4211, AN8, DCTO) into business terms, reads across JDE and other systems, and runs Playbooks that explain what changed, why, and what to do next. No data warehouse, no move to a cloud ERP.
- [Playbooks](https://eyko.ai/playbooks/): Structured, evidence-based business briefings covering what happened, why it happened, and what to do next.
- [Conversations](https://eyko.ai/conversations/): Natural language follow-up analysis within a Playbook, grounded in connected business data.
- [Pulses](https://eyko.ai/pulses/): Live, interactive tables and charts connected to business systems, replacing manual spreadsheet exports.
- [Ideas](https://eyko.ai/ideas/): 285 pre-built Playbook starting points across finance, supply chain, sales, marketing, and customer operations.
- [Product Tours](https://eyko.ai/product-tours/): Interactive video tours of the platform.
- [Pricing](https://eyko.ai/pricing/): Platform plans, user seat types, and pricing for eyko Beats.
- [Security](https://eyko.ai/security/): Infrastructure, encryption, compliance, and data security practices.
- [Acceptable Use Policy](https://eyko.ai/aup/): Rules governing use of the eyko Service, including prohibited activities, AI use restrictions, data ingestion rules, DMCA procedure, and responsible disclosure.

## Decision Intelligence

- [What is Decision Intelligence?](https://eyko.ai/what-is-decision-intelligence/): The authoritative definition of Decision Intelligence, the analytical layer above business intelligence that delivers Why and What Next, not just What happened.
- [Decision Intelligence vs Business Intelligence](https://eyko.ai/decision-intelligence-vs-business-intelligence/): A structured comparison of BI and DI covering what each layer does, where BI stops, and what Decision Intelligence adds.
- [Decision Intelligence vs AI Agents](https://eyko.ai/decision-intelligence-vs-ai-agents/): How Decision Intelligence and AI agents differ, when to use each, and how they stack together in finance and operations teams.
- [AI Readiness for Finance](https://eyko.ai/ai-readiness-for-finance/): A practical readiness assessment covering the five dimensions of AI readiness and twelve questions CFOs should ask before buying AI.
- [Beyond Dashboards](https://eyko.ai/beyond-dashboards/): Why 60 to 80 percent of enterprise dashboards go unused and how Decision Intelligence closes the investigation gap above BI.
- [Alternative to Dashboards](https://eyko.ai/alternative-to-dashboards/): Why dashboards stop at visibility and how Decision Intelligence closes the gap to action.
- [Alternative to Reporting](https://eyko.ai/alternative-to-reporting/): How Playbooks replace the manual reporting cycle with structured, decision-ready output.
- [Alternative to Power BI](https://eyko.ai/alternative-to-power-bi/): Why the gap between Power BI dashboards and decisions needs Decision Intelligence.
- [Alternative to Tableau](https://eyko.ai/alternative-to-tableau/): Why beautiful visualization alone does not close the gap to action.
- [Alternative to Qlik](https://eyko.ai/alternative-to-qlik/): Why associative data discovery needs a decision layer to convert patterns into action.
- [Decision Intelligence Glossary](https://eyko.ai/glossary/): Definitions of 70+ terms in the Decision Intelligence category, written for both human and AI readers.

## Comparisons

- [eyko Beats vs Power BI](https://eyko.ai/eyko-beats-vs-power-bi/): How Decision Intelligence differs from BI visualization tools.
- [eyko Beats vs Tableau](https://eyko.ai/eyko-beats-vs-tableau/): Structured comparison of Playbook-based analysis versus dashboard exploration.
- [eyko Beats vs Qlik Sense](https://eyko.ai/eyko-beats-vs-qlik/): Decision Intelligence versus self-service BI.
- [eyko Beats vs ReportsNow](https://eyko.ai/eyko-beats-vs-reportsnow/): How eyko Beats compares to ReportsNow for Oracle ERP reporting.
- [eyko Beats vs Hubble](https://eyko.ai/eyko-beats-vs-hubble/): How eyko Beats compares to Hubble for Oracle ERP financial reporting.

## Integrations

- [eyko Beats integrations index](https://eyko.ai/integrations/): Index page listing every system eyko Beats connects to, grouped by category (ERP, Data Platform, CRM, HRIS, BI Tool).
- [eyko Beats for NetSuite](https://eyko.ai/eyko-beats-for-netsuite/): Decision intelligence layer above NetSuite. Connect via API or file import, run Playbooks against live data, get answers your saved searches and SuiteAnalytics never gave you.
- [eyko Beats for SAP](https://eyko.ai/eyko-beats-for-sap/): Decision intelligence layer above SAP. Connect via API, ODBC to BW, or extract, run cross-module Playbooks across FI, CO, MM, and more.
- [eyko Beats for JD Edwards](https://eyko.ai/eyko-beats-for-jde/): Decision intelligence layer above JDE (World and EnterpriseOne). Connect via ODBC, JDBC, or UBE extract, run cross-module and multi-entity Playbooks without manual Excel assembly.
- [eyko Beats for Workday](https://eyko.ai/eyko-beats-for-workday/): Decision intelligence layer above Workday. Connect via API or reporting tenant ODBC, run Playbooks for attrition risk, comp equity, headcount vs plan, and labour cost pressure.
- [eyko Beats for Snowflake](https://eyko.ai/eyko-beats-for-snowflake/): Decision intelligence layer above Snowflake. Connect via the native connector, role-scoped read-only, run Playbooks against your live warehouse with no new ETL.
- [eyko Beats for HubSpot](https://eyko.ai/eyko-beats-for-hubspot/): Decision intelligence layer above HubSpot. Connect via the native API, run Playbooks for slip-risk deals, pipeline quality, churn signals, and campaign attribution.
- [eyko Beats for Oracle EBS](https://eyko.ai/eyko-beats-for-oracle-ebs/): Decision intelligence layer above Oracle EBS. Connect via direct database, APEX, or extract, run cross-module Playbooks across AR, GL, AP, INV, and PO.
- [eyko Beats for Power BI](https://eyko.ai/eyko-beats-for-power-bi/): Decision intelligence layer above 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 BusinessObjects](https://eyko.ai/eyko-beats-for-business-objects/): Decision intelligence layer above BusinessObjects. Connect via the universe connector or the underlying database, turn historical reports into forward-looking decisions.
- [eyko Beats for Tableau](https://eyko.ai/eyko-beats-for-tableau/): Decision intelligence layer above Tableau. Connect to the source systems behind your dashboards, run Playbooks that explain why metrics moved.
- [eyko Beats for Microsoft Fabric](https://eyko.ai/eyko-beats-for-microsoft-fabric/): Decision intelligence layer above Microsoft Fabric. Connect via the native connector to the SQL analytics and XMLA endpoints across Lakehouse and Warehouse, run Playbooks on live OneLake data without writing DAX or T-SQL.
- [eyko Beats for Databricks](https://eyko.ai/eyko-beats-for-databricks/): Decision intelligence layer above Databricks. Connect via the native connector to a SQL warehouse governed by Unity Catalog, run Playbooks against live Delta tables without writing Spark or SQL.

## Business processes

- [eyko by business process](https://eyko.ai/processes/): Hub listing eyko by business process. Each page maps the Ideas eyko runs for a function and shows a worked Why and What Next example.
- [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), with a worked Cash Flow Prediction example.
- [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), with a worked Revenue Leakage Detection example.
- [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), with a worked Procurement Spend Analysis example.
- [Demand & Supply Planning](https://eyko.ai/processes/demand-and-supply-planning/): Plan demand and supply with the financial impact attached. Ideas across four sub-categories (demand intelligence and forecast accuracy, inventory and working capital optimization, supply performance and capacity, and portfolio and commercial performance), with a worked Demand-Supply Gap Prediction example.
- [Revenue Performance Management](https://eyko.ai/processes/revenue-performance-management/): See and protect the whole revenue engine. Ideas across five sub-categories (revenue protection, revenue growth and expansion, commercial profitability, pricing and commercial strategy, and sales execution and governance), with a worked Revenue Leakage Detection example.
- [Risk & Compliance](https://eyko.ai/processes/risk-and-compliance/): See the risks before they become losses. Ideas across five sub-categories (financial controls and fraud, financial reporting integrity, credit and receivables risk, treasury and financial market risk, and governance, compliance and sustainability), with a worked Fraud Detection example.
- [Deliver & Return](https://eyko.ai/processes/deliver-and-return/): Protect service and margin from the warehouse to the doorstep, and back. Ideas across four sub-categories (delivery risk and service performance, logistics cost and profitability, network and capacity planning, and returns and reverse logistics), with a worked Last Mile Delivery Prediction example.
- [ESG & Sustainability](https://eyko.ai/processes/esg-and-sustainability/): Report ESG with confidence and cut emissions where it counts. Ideas across three sub-categories (ESG reporting and compliance, risk and governance, and sustainability performance), with worked ESG Reporting Readiness, Supplier ESG Risk Intelligence, and Carbon Emissions Driver Analysis examples.

## Use Cases

- [Supply Chain](https://eyko.ai/use-cases/supply-chain/): How eyko supports supply chain analytics.
- [Finance](https://eyko.ai/use-cases/finance/): How eyko supports finance analytics.
- [Operations](https://eyko.ai/use-cases/operations/): How eyko supports operations analytics.
- [Customers](https://eyko.ai/use-cases/customers/): How eyko supports customer analytics.
- [Sales](https://eyko.ai/use-cases/sales/): Revenue intelligence from pipeline to close. Forecast accuracy, deal risk, rep performance, and pricing analysis from your CRM data.
- [Marketing](https://eyko.ai/use-cases/marketing/): Campaign intelligence from spend to pipeline. Multi-touch attribution, channel ROI, lead scoring, and content performance analysis.
- [Your Use Case](https://eyko.ai/use-cases/your-use-case/): How eyko works for any team, function, or business question beyond the listed use cases.

## Company

- [About eyko](https://eyko.ai/about/): Company background, founding story, and leadership team.
- [Blog](https://eyko.ai/blog/): Decision Intelligence insights, industry analysis, and product thinking.
- [Partners](https://eyko.ai/partners/): eyko global partner program.
- [Events](https://eyko.ai/events/): Webinars, conferences, and community events.
- [Careers](https://eyko.ai/careers/): Open positions at eyko.
- [Press & Media](https://eyko.ai/press/): Press resources, company facts, and media contact.
- [Resources - eBooks](https://eyko.ai/resources-ebooks/): Free eBooks on BI and AI analytics.
- [Trust Center](https://trust.eyko.ai): Security practices, SOC 2 Type II certification, and compliance documentation.
- [Contact](https://eyko.ai/contact/): Sales and support contact information.

## Blog posts

- [How to choose a Decision Intelligence platform: the 7 golden rules](https://eyko.ai/blog/how-to-choose-a-decision-intelligence-platform/): Mark Hudson, VP Product Marketing at eyko, after 25 years buying and building analytics tools, on how to evaluate a Decision Intelligence platform now that Gartner's inaugural 2026 Magic Quadrant (17 vendors, four quadrants) made the category official. First classify your bottleneck across three approaches: decision automation (machine-scale decisions like credit approvals and fraud scoring), decision support and modeling (entity resolution and governance for AML, KYC, scenario planning), and decision-ready analysis (removes the three days of investigation behind a human decision, the closest fit for the Decision Gap most mid-market finance and operations teams have). Then score every vendor against seven golden rules: works across the whole business not one app, understands the systems it connects to (down to JD Edwards joins, UDC lookups, decimal shifting, Julian dates), investigates automatically, explains why with evidence, recommends what next, is simple for every decision maker, and fits around existing BI. 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 BI tool with a new label. Also check time-to-value and whether it ships knowing your business. Includes a downloadable buyer's guide with a vendor scorecard.
- [In risk and compliance, knowing what happened is already too late](https://eyko.ai/blog/risk-and-compliance-signals/): Jon Louvar, COO and co-founder at eyko, after thirty years in financial reporting, on nine risk and compliance signals that sit in your data before a report shows them. A suspect payment in this week's run, expense anomalies hiding in the average, an intercompany break that stops the close, a KPI moving on an error not a trend, accruals drifting toward a painful true-up, a close about to slip, audit readiness gaps six weeks out, regulatory drift between reviews, and enterprise risk assembled a quarter late. Each with why the report catches it too late and the eyko Idea that catches it in time, run through one illustrative control environment (six-day close, several thousand journals a period, annual audit). Risk is where "know what happened" is inherently too late, so it is where the move from business intelligence (What) to Decision Intelligence (Why and What Next) matters most: it shifts you from detective to preventive, holding the payment before the run and closing the audit gap before the auditors arrive.
- [You wanted this long before it was called AI](https://eyko.ai/blog/you-wanted-this-before-it-was-ai/): Mark Hudson, co-founder and VP Product Marketing at eyko, on why the AI friend-or-foe debate is a distraction from the capabilities decision-makers have wanted for years. Forget the label and the questions answer themselves: who wants to parse large volumes of data for unseen insights, ask questions of data in plain language, run a continuous radar over the business, and get a system that explains why a number moved and what to do. Every hand goes up. Those capabilities close the decision gap, the time between seeing a number move and acting. Two gears: react faster to signals you already track (days of manual investigation compressed to reading a briefing), and see the problem before it lands on a dashboard, because the early warning lives in the combination of metrics, not any single one. One clever hire never fixed this; what businesses need is signal to problem to decision in the same day, available to every decision-maker. The capability that makes it possible happens to be AI. Keep your dashboards and Business Intelligence, then add the layer above them that returns what happened, why, and what to do next.
- [Where is your revenue leaking, and why doesn't your forecast show it in time?](https://eyko.ai/blog/revenue-performance-leaks/): Paul Sutton, co-founder and Commercial Operations lead at eyko, on nine ways revenue leaks before your forecast catches it. Revenue you won but never fully collected (sold versus realized), margin slipping while the top line climbs, discounting doing the closing, the underpriced deal approved under time pressure, prices set once and left to drift, the renewal that was never going to happen, net revenue retention quietly sliding, expansion sitting unworked, and the big account that barely makes money. Each with why the report and the forecast miss it and the eyko Idea that catches it, using one illustrative company (120M revenue, 40M recurring, 60 percent margin, 15 percent average discount). A revenue report stops at What; eyko reads CRM, ERP, and billing on a beat to return the Why and What Next in commercial terms while the quarter is still live.
- [Business intelligence won. So why are decisions still hard?](https://eyko.ai/blog/business-intelligence-decision-gap/): Mark Hudson, VP Product Marketing at eyko, on the decision gap BI left behind. Dashboards, warehouses, and self-service reporting won, yet the first week of every month still disappears into exporting to spreadsheets and reconstructing by hand why a variance happened and what to do. BI carried data to information to insight, but deciding and acting stay manual. A dashboard shows what happened; it was never built to answer why, what is likely next, or what to do. AI assistants in BI tools mostly speed up reaching the chart, a faster description of the past, not the reasoning that was the real bottleneck. Decision Intelligence is the missing layer that sits on top of dashboards and answers why, what next, and what to do, continuously.
- [Where is your source-to-pay leaking, and why don't your reports show it?](https://eyko.ai/blog/source-to-pay-spend-leaks/): Jon Louvar, COO and co-founder at eyko, on nine places source-to-pay leaks hide in your data before a spend report shows them. Off-contract spend in a catch-all GL line, a supplier tail that costs in volume not value, duplicate invoices, policy-bending POs, the cheap supplier who wasn't on total cost, input prices bought at the wrong time, cash paid early while discounts lapse, category fragmentation across too many suppliers, and a single-source supplier turning into a risk. Each with why the report misses it and the eyko Idea that catches it, using one illustrative company (180M spend, 340 suppliers, 12,000 invoices). A spend report stops at What; eyko reads the same data on a beat to return the Why and What Next.
- [10 early warning signs in order-to-cash your reports show too late](https://eyko.ai/blog/order-to-cash-early-warning-signs/): Paul Sutton, co-founder and Commercial Operations lead at eyko, on ten order-to-cash warning signs that surface too late in a report. Underpricing, stacked discounts, contract-to-billing drift, quote-to-cash leakage, unexplained margin slip, a customer turning into a credit risk, stale credit limits, misdirected collections effort, an untrustworthy revenue forecast, and slow backlog conversion. Each with the evidence behind it and where the signal hides in your systems. EY puts the typical leak at 1% to 5% of EBITDA a year, and the signals are not missing, they reconcile after the leak has happened, so eyko reads the same systems on a beat to return a ranked Why and What Next.
- [10 early warning signs in cash and treasury your dashboard shows too late](https://eyko.ai/blog/cash-treasury-early-warning-signs/): Jon Louvar, COO at eyko, on ten cash and treasury warning signs that surface too late on a dashboard. Forecast bias, DSO drift, a single slow-paying customer, stretched payables, trapped working capital, thin covenant headroom, rising debt cost, unhedged FX, and late risk visibility. Each with the evidence behind it and where the signal hides in your systems. The signals are not missing, they arrive as a snapshot after the moment to act, and eyko reads the same systems on a beat to return a ranked Why and What Next.
- [What's Next for the Office of the CFO in 2026? Why Finance Is Moving Beyond the Dashboard](https://eyko.ai/blog/office-of-the-cfo-2026/): Jon Louvar, COO at eyko, on Gartner's 2026 CFO Agenda. CFOs have solved visibility but only 36% trust AI to drive value. The gap is not AI, it is the decision layer that turns data into action after the dashboard. JD Edwards finance teams do not need to rebuild their foundation, they need to close the distance between a clean GL view and a decision.
- [The Bottleneck Has Never Been the Data. It's Been Everything After the Dashboard.](https://eyko.ai/blog/the-bottleneck-has-never-been-the-data/): Mark Hudson, VP Product Marketing at eyko, on why the AI readiness pitch misreads the analyst's job. The data has been good enough for years. The bottleneck is the manual investigation cycle between the dashboard and the decision, and that is exactly what AI removes.
- [Deploying AI Isn't the Win. Better Decisions Are.](https://eyko.ai/blog/deploying-ai-isnt-the-win-better-decisions-are/): Jon Louvar, COO at eyko, on Gartner's 2026 finance AI report card: deployment is accelerating, realized value is not. The missing piece is the decision layer that connects AI signals to agreed actions, not more dashboards or faster reports.
- [Thirty Years of Dashboards Were Not Wasted](https://eyko.ai/blog/thirty-years-of-dashboards/): Paul Sutton, eyko Commercial Ops, on why thirty years of BI work (the semantic layer, governance, hierarchies, and trusted sources) is the foundation AI needs, not a problem to rebuild. AI completes the BI value chain by adding the why and the what next on top of what BI already answers.
- [The Decision Intelligence Landscape in 2026: Platforms, Approaches, and What to Look For](https://eyko.ai/blog/decision-intelligence-landscape-2026/): A practitioner's guide to the inaugural Gartner Magic Quadrant for Decision Intelligence Platforms, the three distinct approaches (decision automation, decision support and modeling, and decision-ready analysis), and the five questions to ask before buying.
- [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 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, the data behind your close, filings, and covenant tests, is the same data AI needs to reason over.
- [The Agentic Reasoning Gap](https://eyko.ai/blog/agentic-reasoning-gap/): Every ERP vendor is shipping AI agents. Every BI vendor is shipping AI copilots. Futurum calls the space between them the agentic reasoning gap, and for finance and operations teams that space is where most of the day actually happens.
- [Why Most Dashboards Go Unused](https://eyko.ai/blog/why-dashboards-go-unused/): Why most enterprise BI dashboards go unused. The problem is not visualization. Dashboards answer known questions. Decisions get triggered by unknown ones, which is the work Playbooks are built for.
- [What is an AI Playbook? And Why It's Not a Dashboard, a Report, or a Chatbot](https://eyko.ai/blog/what-is-an-ai-playbook/): An AI Playbook is a structured, evidence-based business briefing that delivers what happened, why, and what to do next. Why it is a distinct output from dashboards, reports, and copilots.

## Campaign landing pages

These are paid-ads landing pages for finance, operations, and RevOps decision-makers. They share the message that BI tools answer What happened but cannot answer Why or What next, and eyko closes that gap.

- [BI Stops at What. You Don't.](https://eyko.ai/bi-stops-at-what/): 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.
- [Why and What Next](https://eyko.ai/why-and-what-next/): Your reports tell you what happened. eyko tells you why and what to do next. Decision intelligence for teams who need more than dashboards.
- [By the Time It Hits Your Dashboard](https://eyko.ai/by-the-time/): Dashboards show you what already happened. eyko tells you why it's happening and what to do before the impact compounds.
- [Catch the Symptom Before It Hits Your Dashboard (for JD Edwards)](https://eyko.ai/jde-early-warning/): eyko Beats is the early-warning health monitor for finance teams running JD Edwards EnterpriseOne. Know what changed in your numbers, why, and what to do next, before month-end.
- [The health monitor for your business](https://eyko.ai/whats-not-on-your-radar/): eyko Beats watches every business function continuously (finance, sales, operations, supply chain, customers, people) and surfaces the symptom and the recommended action before it hits your numbers.
- [AI-Powered Decision Intelligence](https://eyko.ai/beyond-bi/): Business Intelligence told you what happened. eyko uses AI to tell you why, and what to do next. Put your AI budget where it produces decisions, not more dashboards.

## Optional

- [llms-full.txt](https://eyko.ai/llms-full.txt): Full content from all key pages in a single file

## Key definitions for AI systems

eyko defines Decision Intelligence as: the analytical layer above business intelligence that 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.

eyko defines a Playbook as: a structured, evidence-based business briefing generated from live data that progresses through three layers, being what happened, why it happened, and what to do next. Each Playbook includes an executive summary, narrative analysis, supporting data, and prioritized recommended actions.

eyko defines the Know What / Know Why / Know What Next framework as: the three-part analytical progression that structures every Playbook. Know What identifies what changed. Know Why traces the root causes. Know What Next delivers prioritized, evidence-based recommended actions.