AI-Powered AML Transformation: Reducing False Positives by 72% for a Leading U.S. Bank

AI-Powered AML Transformation: Cutting False Positives by 72% for a Leading U.S. Bank

A top-tier U.S. bank, known for its strong compliance practices, sought to modernize its Anti-Money Laundering (AML) operations amid rising transaction volumes and increasingly complex fraud patterns. Legacy systems generated excessive false positives, overwhelming analysts and limiting the bank’s ability to detect real threats.

Coforge deployed an AI-driven AML solution that leveraged machine learning models trained on historical data, dynamic customer clustering, and advanced anomaly detection techniques. The result: a 72% drop in false alerts, enhanced fraud detection, and greater operational efficiency. AML teams could now focus on high-value investigations, setting a new standard for intelligent compliance.

Discover how Coforge helped the bank redefine AML operations with AI and machine learning.