AI can help a financial institution identify patterns across payments, customers and networks, but a compliance product is not automatically a compliant control. The EBA has warned that careless use of innovative compliance products can create money-laundering and terrorism-financing risks. The operating model must keep investigators accountable for decisions.
Use AI to prioritise, not conceal
Document whether the system detects, scores, clusters, recommends or closes alerts. A risk score should not silently become a final decision. Define escalation rules, investigation evidence, override authority and the circumstances requiring enhanced due diligence.
Control data and model drift
Monitor changes in payment channels, customer mix, sanctions, typologies, missing data and alert volumes. A drop in alerts may represent better precision, changed behaviour or a broken feed. Validate against known cases and synthetic scenarios, not only aggregate statistics.
Preserve explainability
Investigators need intelligible reasons for an alert and access to the relevant data. Keep the model version, features, thresholds, evidence and decision history. Read the EBA warning on innovative compliance products and EBA AI materials before deployment.