top of page
LSA.jpg

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, but they take weeks or months to resolve. 

Icon-Alerts.png

Classify up to 80% of legitimate activity

Icon-Triage.png

64% of legitimate activity can be explained through one of 5 top Life Stories

Icon-Explainability.png

Obtain clear evidence and explainability

Benefits

Benefits

  • Identify legitimate activity through a powerful combination of customer engagement tools and analytics

  • Explain customer activity using AI-driven benchmarks and third party evidence

  • Reduce investigation time for AML teams

  • Improve your risk management posture by removing bias, inconsistency

Icon-LSABenefits.png

How Life Story Analytics Works

Icon-AI.png

Refine’s AI-powered database is trained on millions of records to create a baseline of genuine financial behavior

Icon-AI-Alert.png

Each anomaly flagged by your transaction monitoring solution is mapped against that baseline to identify the life story that explains the transaction

Icon-AI-GreenFlag.png

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 

bottom of page