HGS Launches AMLens to Speed up AML Probes with Explainable AI

16 Jan 2026 CW Team

AMLens combines machine learning and Natural Language Processing (NLP) to address persistent industry challenges such as manual case handling, alert fatigue and fragmented data. The solution supports AML teams across the entire investigation lifecycle—from detection and triage to contextualisation and summarisation—through a modular, explainable AI framework. It automatically consolidates structured and unstructured data, including transaction logs, internal notes and external public sources, into a single, analyst-friendly view.

Built on a modular, API-first architecture, AMLens integrates seamlessly with existing systems and is targeted at Retail and Consumer Banking, Payments and Fintech, Credit Cards and Lending, and Wealth Management segments. By embedding explainable AI and human-in-the-loop validation, the platform ensures transparency and regulatory alignment while automating routine AML tasks such as transaction monitoring, sanctions screening and customer due diligence.

Eric Purdum, Head of Sales – Americas, HGS, said, “In today’s regulatory environment, time is a critical weapon against financial crime. Legacy systems overwhelm analysts with false positives and disjointed data. AMLens is built on explainable AI and policy-aligned automation, giving investigators speed, clarity and confidence so they can focus on high-priority cases.”

Early client deployments have demonstrated measurable performance gains. AMLens has reduced case analysis time by 75 per cent, cutting review cycles from around two hours to 30 minutes. False positives have declined by over 60 per cent, while investigator productivity has tripled from eight to 24 cases per day. Overall turnaround time has improved by 75 per cent, dropping from 48 hours to 12 hours.

A key differentiator is AMLens’ three-tiered workflow that blends AI-driven insights with human oversight, enabling faster resolutions without compromising judgment. Through this approach, HGS positions AMLens as a next-generation platform delivering outcome-driven, explainable AI for financial crime prevention.

HGS, a leading provider of digital experience, business process management and digital media services, has launched AMLens, an AI-powered solution designed to accelerate and modernise Anti-Money Laundering (AML) investigations for financial institutions. Listed on both BSE and NSE, the company said AMLens enables faster, more accurate case resolution while helping banks meet increasingly stringent regulatory requirements.AMLens combines machine learning and Natural Language Processing (NLP) to address persistent industry challenges such as manual case handling, alert fatigue and fragmented data. The solution supports AML teams across the entire investigation lifecycle—from detection and triage to contextualisation and summarisation—through a modular, explainable AI framework. It automatically consolidates structured and unstructured data, including transaction logs, internal notes and external public sources, into a single, analyst-friendly view.Built on a modular, API-first architecture, AMLens integrates seamlessly with existing systems and is targeted at Retail and Consumer Banking, Payments and Fintech, Credit Cards and Lending, and Wealth Management segments. By embedding explainable AI and human-in-the-loop validation, the platform ensures transparency and regulatory alignment while automating routine AML tasks such as transaction monitoring, sanctions screening and customer due diligence.Eric Purdum, Head of Sales – Americas, HGS, said, “In today’s regulatory environment, time is a critical weapon against financial crime. Legacy systems overwhelm analysts with false positives and disjointed data. AMLens is built on explainable AI and policy-aligned automation, giving investigators speed, clarity and confidence so they can focus on high-priority cases.”Early client deployments have demonstrated measurable performance gains. AMLens has reduced case analysis time by 75 per cent, cutting review cycles from around two hours to 30 minutes. False positives have declined by over 60 per cent, while investigator productivity has tripled from eight to 24 cases per day. Overall turnaround time has improved by 75 per cent, dropping from 48 hours to 12 hours.A key differentiator is AMLens’ three-tiered workflow that blends AI-driven insights with human oversight, enabling faster resolutions without compromising judgment. Through this approach, HGS positions AMLens as a next-generation platform delivering outcome-driven, explainable AI for financial crime prevention.

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