HGS Americas sales head Eric Purdum details productivity gains, explainable AI use, and reduced alert fatigue
HGS has introduced AMLens, a new AI powered solution aimed at improving the speed and accuracy of Anti Money Laundering investigations for financial institutions. The solution is designed to address long standing challenges such as manual case handling, alert fatigue, and fragmented data environments within AML operations.
HGS, which is listed on the BSE and NSE, operates across digital experience, business process management, and digital media services. With AMLens, the company is targeting banks and financial institutions seeking to improve regulatory compliance while enabling investigators to focus on high priority cases.
AMLens integrates machine learning and natural language processing to support AML teams across detection, triage, contextualisation, and case summarisation. The platform consolidates data from structured transaction records and unstructured sources such as internal notes and external public records into a single interface, allowing analysts to review cases with greater clarity and context.
According to HGS, the solution is built as a modular and API first platform, allowing it to integrate with existing client systems. AMLens is positioned for use across retail and consumer banking, payments and fintech, credit card and lending operations, and wealth management.
Speaking about the launch, Eric Purdum, Head of Sales Americas at HGS, said that financial crime teams are under increasing pressure to act quickly within complex regulatory environments. He said, “Legacy systems overwhelm analysts with false positives and fragmented information, slowing response times. AMLens applies explainable AI with human validation to automate routine monitoring tasks while maintaining transparency. This helps investigators focus on cases that require deeper judgment.”
Early client deployments of AMLens have demonstrated measurable improvements in operational efficiency. HGS stated that case analysis time has been reduced by 75 percent, with average review time dropping from nearly two hours to around 30 minutes. False positive rates have declined by more than 60 percent, improving investigator focus and contributing to a threefold increase in daily case throughput.
The platform also supports AI assisted narrative generation alongside human oversight. In flagged scenarios such as rapid international wire transfers, AMLens enables analysts to categorise risk, request additional information within the workflow, and generate structured suspicious activity reports supported by AI while retaining final decision control.
Overall turnaround time for investigations has been reduced from approximately 48 hours to 12 hours, allowing financial institutions to respond faster to potential financial crime while remaining aligned with regulatory expectations.
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