Case Study: Leading Global Banks in Asia-Pacific achieve 50%+ reduction in AML false positives with FICO AML Advanced Analytics

Global banks boost efficiency and effectiveness for AML utilizing FICO® AML Advanced Analytics

FICO worked with leading global banks in the Asia‑Pacific region that were struggling with legacy, rules‑based AML systems that produced overwhelming numbers of false positive alerts (often over 90%), high operational costs, and defensive—low‑value—suspicious activity filings. The banks needed a way to reduce alert volume, improve detection of true money‑laundering behavior, and bring AI/ML into compliance workflows without abandoning mandated rules.

FICO deployed its AML Advanced Analytics—combining an AI‑driven AML Threat Score with a patented Soft‑Clustering Misalignment Score and explainable reason codes—to augment existing rule engines, prioritize alerts, and automate tagging, assignment and low‑risk closures. Results included more than a 50% reduction in false positives (one client saw a 57% decrease without missing known suspicious cases), faster and more accurate detection of criminal activity, higher‑quality regulatory reports, and materially improved analyst productivity.