Summary
Applied machine learning and risk analytics to improve anti-money laundering alert quality and prioritization. Integrated data from multiple compliance systems to reduce manual investigation effort. Enhanced detection of high-risk suspicious activity while lowering false positives. Streamlined case management and regulatory reporting through interpretable, workflow-enabled tools.