New Delhi: Hinduja Global Solutions Ltd (HGS) has rolled out AMLens, a next-generation, AI-powered solution designed to accelerate and modernise anti-money laundering (AML) investigations for banks and financial institutions, as regulatory compliance costs continue to rise globally.
The company said AMLens uses a combination of machine learning and natural language processing (NLP) to address long-standing industry challenges such as alert fatigue, fragmented data and manual case resolution. Early deployments have shown a 75% reduction in case analysis time, bringing it down from about two hours to nearly 30 minutes, while false positives fell by over 60%, according to the company.
HGS said the solution is built around the principles of explainable AI and “human-in-the-loop” validation, enabling transparency in decision-making—an increasingly critical requirement for regulators. The platform automates data consolidation from multiple sources, including transaction logs, internal notes and public records, presenting investigators with a single, contextualised view of each case.
“Legacy systems are overwhelming analysts with false alerts and disconnected data, slowing down responses to financial crime,” said Eric Purdum, head of sales – Americas at HGS. “AMLens is designed to give investigators speed, clarity and confidence, allowing them to focus on high-priority cases while routine tasks are automated.”
The company said AMLens has also helped triple investigator productivity in pilot implementations, with analysts handling up to 24 cases a day compared with eight earlier. Overall turnaround time for cases has been cut to nearly 12 hours from about 48 hours.
AMLens follows a modular, API-first architecture and can be integrated with existing compliance and transaction monitoring systems. It is targeted at segments such as retail and consumer banking, payments and fintech, credit cards and lending, and wealth management.
For HGS, part of the Hinduja Group, the launch underscores its broader push to embed artificial intelligence and analytics across business process management and digital transformation offerings. As financial institutions grapple with increasingly complex compliance requirements, technology-led efficiency gains are emerging as a key differentiator in the AML space.