Life Story Analytics for AML
AML investigation teams grow each year, but they often don’t have the context to make quick decisions. Over 95% of alerts are legitimate customer activities generated by genuine life stories and falsely flagged as suspicious, but they take weeks or months to resolve.
Explains 80% of alerts
Cut triage time for alerts by 90%
Obtain clear evidence and explainability
Benefits
Benefits
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Explain 80% of alerts
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Cut triage time for alerts by 90%
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Reduce caseload and strain for AML teams
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Obtain clear evidence and explainability for regulators
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Improve your risk management posture by removing bias, inconsistency
How Life Story Analytics Works
Refine’s AI-powered database is trained on millions of records to create a baseline of genuine financial behavior
Each anomaly flagged by your transaction monitoring solution is mapped against that baseline to identify the life story that explains the transaction
The AI draws on open-source data, third-party checks, and the user’s account history for strong evidence that separates fully explainable, legitimate activities which was falsely flagged as suspicious, from truly anomalous activity
