HGS launches AMLens to speed up AML investigations using explainable AI

HGS has introduced AMLens, an AI-powered solution aimed at accelerating Anti-Money Laundering (AML) investigations for banks and financial institutions. The platform is designed to reduce investigation time, lower false positives, and improve regulatory alignment as financial crime teams face increasing volumes of alerts and stricter compliance expectations.

According to HGS, AMLens applies machine learning and natural language processing (NLP) across the AML lifecycle—from detection and triage to contextualisation and reporting—while maintaining transparency and human oversight. The company positions the solution as an example of “realised AI”, where automation delivers measurable operational outcomes rather than experimental gains.

Addressing alert fatigue and fragmented data

AML teams globally continue to struggle with manual case resolution, alert fatigue, and siloed data sources. AMLens seeks to address these challenges by consolidating structured and unstructured information—such as transaction data, analyst notes, and external public records including Google and LexisNexis—into ...