eyko Ideas

Which customers have quietly become a credit risk?

A customer cleared for credit at onboarding may not be that customer 18 months later. Interest rates, sector pressure, and balance sheet changes move credit risk continuously. A Credit Risk Re-Scoring Playbook reads payment behavior, external signals, and account events to refresh credit assessments before bad debt accrues.

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The Challenge

Credit decisions made once, never refreshed

  • Onboarding-era credit checks go stale

    The credit check that approved the customer was a snapshot of their balance sheet at the moment they signed. Eighteen months later, the financial profile may have shifted materially but the credit limit and terms still reflect the original assessment.

  • Payment slippage reads as noise until it is not

    A single late payment looks like an admin glitch. A pattern of late payments across a customer's industry peers is a leading indicator that capacity is tightening. Without a continuous re-score, the pattern only surfaces after the bad debt has accrued.

  • Macro signals get ignored at the account level

    Rate hikes, sector layoffs, and supply chain disruptions hit specific industries hardest. Finance teams may track macro signals broadly but rarely connect them to specific accounts already inside the customer base, so credit exposure stays uniform while risk concentrates.

How eyko Solves It

Refresh credit risk continuously, not annually

A Credit Risk Re-Scoring Playbook reads internal signals (payment timing, dispute frequency, plan contraction, days sales outstanding) and external macro signals (sector layoff data, rate exposure, public credit scores where available) to refresh each customer's credit assessment monthly. It surfaces accounts whose risk profile has shifted materially, attributes the shift to specific drivers, and recommends credit limit, terms, or collections adjustments before the bad debt arrives.

Credit Risk Re-Score | What
Executive Summary

The Playbook re-scored 1,840 active customers and flagged 87 with deteriorating credit profiles representing $1.4M in exposure. 23 of those have not yet shown payment slippage but match the early-deterioration profile observed in prior bad debt accounts. 14 customers improved their profile materially, supporting term extensions and credit limit increases.

Risk Drivers (Flagged Accounts)
DSO extension >45d
42
Dispute frequency rising
28
Plan contraction
19
Sector rate exposure
15
Public credit downgrade
7
MetricCurrentBenchmarkStatus
Primary indicatorFlaggedTargetAction needed
Secondary indicatorMonitoringWithin rangeOn track
Trend directionDecliningStableReview required
Recommendations
1The Playbook re-scored 1,840 active customers and flagged 87 with deteriorating credit profiles representing $1.4M in exposure.
2Full analysis available across all connected data sources.

Credit Risk Re-Scoring refreshes the credit assessment for every active customer on a monthly cadence rather than relying on the onboarding-era check. The Playbook reads payment behavior, dispute history, plan changes, and external macro signals to produce an updated risk score and exposure projection per account. It surfaces customers whose risk profile has shifted materially in either direction so finance can adjust terms, limits, and collections motions before bad debt accrues.

FAQ

Frequently asked questions

Everything you need to know about Credit Risk Re-Score.

Credit Risk Re-Scoring is an AI-driven monthly refresh of every active customer's credit assessment, replacing the static onboarding-era credit check. The Playbook reads payment timing, dispute history, plan changes, and external macro signals to produce an updated risk score and exposure projection per account, then surfaces customers whose risk profile has shifted materially in either direction so finance can adjust terms, limits, and collections motions before bad debt accrues.

The Playbook reads from your billing system (Stripe, Chargebee, NetSuite, Zuora) for payment timing and DSO, your AR aging reports, CRM for plan and contract data, and external macro signals where applicable (sector layoff reports, rate exposure indices, public credit data). At least 12 months of paired payment-outcome data lets the model anchor predictions in actual bad-debt history.

A traditional credit check is a one-time snapshot of the customer's balance sheet at the moment they sign. Credit Risk Re-Scoring is continuous: it refreshes the assessment monthly based on behavior the customer is exhibiting inside your account base (payment timing, disputes, plan moves) and macro signals visible in their sector. The result is a forward-looking risk score that moves with the customer rather than a static rating from the date of onboarding.

Yes. For each re-scored account the Playbook recommends a specific adjustment: tighter terms on deteriorating accounts, earlier collections triggers where DSO is extending, term extensions or credit limit increases on improved accounts. Each recommendation projects the expected bad-debt avoidance or growth enablement so finance can prioritize the highest-impact moves first and explain the change to the customer with the underlying drivers attached.

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