Customer Risk Scoring
Eliminate subjective assessments with a configurable risk-scoring engine.
What it does
Objective, repeatable risk ratings
Map your internal risk policy into ComplianceSuite's scoring matrix. Apply weights to geography, product, channel, and behavioural signals — recalculated continuously.
- Drag-and-drop risk-factor configuration
- Geography, product, channel, and behaviour weighting
- Continuous recalculation on customer events
- Risk band thresholds with automatic re-review triggers
- Full versioning of risk model changes
Use cases
How teams put it to work.
Three concrete scenarios from regulated institutions running ComplianceSuite in production today.
Onboarding-time risk band assignment
A neobank wants to assign a risk band (low / medium / high / prohibited) at the moment of onboarding so it can route customers into the right product, due-diligence depth and monitoring intensity.
The Risk Scoring engine returns a score and band in <100ms based on geography, product mix, source-of-funds and behavioural signals — fully transparent to the reviewer with the contributing factors visible.
Continuous re-rating on new evidence
A bank's high-risk customers must be re-rated when a new screening hit, transaction pattern or jurisdiction change occurs — currently a quarterly manual review.
Continuous recalculation re-rates customers in real time as events arrive, automatically triggering re-reviews when a customer crosses a band threshold — closing the gap between event and action from 90 days to seconds.
Regulator model defence
A regulator demands evidence that the bank's customer risk-rating methodology aligns with its written EWRA, has been independently reviewed and is consistently applied.
Every risk model is versioned with a full change diff, four-eyes approval log and back-test report. The MLRO exports a model-defence pack on demand, mapping each factor to the written policy.
Better together
Pairs naturally with the rest of the platform.
Every ComplianceSuite module shares the same identity graph, audit trail and case queue — turning Customer Risk Scoring on activates compounding value across these adjacent modules.
KYC & Identity Verification
KYC verification results feed the model's identity and document factors directly.
AML Screening
Screening hits and adverse-media signals are first-class risk factors with configurable weights.
Transaction Monitoring
Behavioural signals from TM continuously refresh the customer's score.
Automation Engine
Score-band changes trigger automated reviews, communications and step-up actions.
How teams use it
Built into a single end-to-end workflow.
Configure
Map your policies, risk factors, and regulator requirements into the engine — no code.
Operate
Your reviewers work from one inbox with full context, history, and supporting evidence.
Prove
Generate audit-ready reports in minutes, on demand, with full versioned trail.
FAQ
Buyer questions, answered.
The five things compliance, product and security teams ask before activating Customer Risk Scoring. Need more detail? Talk to a specialist.
Up next