HGS Launches AMLens AI-Powered Solution to Transform Anti-Money Laundering Operations
Hinduja Global Solutions has launched AMLens, an AI-powered Anti-Money Laundering solution that significantly enhances operational efficiency for financial institutions. The platform reduces case analysis time by 75%, decreases false positives by over 60%, and increases investigator productivity by 3x. Built with explainable AI and human-in-the-loop validation, AMLens targets multiple banking segments and integrates seamlessly with existing systems through its modular, API-first design.

*this image is generated using AI for illustrative purposes only.
Hinduja Global Solutions Limited has announced the launch of AMLens, a revolutionary AI-powered solution designed to transform Anti-Money Laundering operations for financial institutions. The announcement was made on January 12, 2026, marking a significant advancement in the company's digital transformation offerings.
Solution Overview and Capabilities
AMLens represents a next-generation approach to AML operations, integrating machine learning and Natural Language Processing to address critical industry challenges. The solution directly tackles manual case resolution, alert fatigue, and regulatory alignment gaps that have long plagued financial institutions.
The AI-powered platform supports AML teams across multiple operational areas:
- Detection and risk assessment
- Case triage and prioritization
- Data contextualization and consolidation
- Automated summarization and reporting
AMLens features a modular, API-first design that enables seamless integration with existing client systems. The solution automates the collection and consolidation of fragmented data from various sources, including structured transaction logs, unstructured notes, and external databases such as Google, LexisNexis, and other public records.
Performance Improvements and Results
Early client deployments have validated significant performance improvements across key operational metrics:
| Performance Metric | Before AMLens | After AMLens | Improvement |
|---|---|---|---|
| Case Analysis Time | ~2 hours | ~30 minutes | 75% reduction |
| False Positive Rate | ~18% | ~7% | 60%+ reduction |
| Cases Per Day | 8 cases | 24 cases | 3x increase |
| Overall Turnaround Time | 48 hours | 12 hours | 75% faster |
These improvements translate to substantial operational efficiency gains, enabling analysts to focus on high-priority investigations while maintaining regulatory compliance standards.
Three-Tiered Operational Pipeline
AMLens employs a sophisticated three-tiered pipeline that combines AI automation with human oversight. When third-party detection systems flag suspicious activities, such as rapid international wire transfers, the system processes cases through:
Early Detection & Risk Categorization: The platform ingests alerts and applies its adaptive risk propensity engine to provide initial risk scoring.
Contextualization and Human Intervention: Analysts utilize the Request for Additional Information feature to gather additional context directly within the workflow.
Narrative Generation & Submission: Based on augmented data, analysts can escalate cases with AI-generated Suspicious Activity Report support, streamlining case resolution to approximately 55 minutes.
Market Focus and Leadership Perspective
The solution targets multiple market segments including Retail & Consumer Banking, Payments & Fintech, Credit Card & Lending, and Wealth Management. Eric Purdum, Head of Sales – Americas at HGS, emphasized the solution's impact on regulatory compliance efficiency.
"Legacy systems are drowning analysts in false positives and fragmented data, hindering their ability to act quickly," Purdum stated. "AMLens is built on the principles of Explainable AI and human-in-the-loop validation that can automate routine tasks such as transaction monitoring, sanctions screening, and customer due diligence."
Company Background
HGS operates as a global leader in optimizing customer experience lifecycle, digital transformation, and business process management. The company maintains 18,017 employees across nine countries with 30 delivery centers. For the year ended March 31, 2025, HGS reported total income of ₹4,958.80 crores. As part of the Hinduja Group conglomerate, HGS continues expanding its digital transformation and AI-powered solution offerings across multiple industry verticals.
Historical Stock Returns for Hinduja Global Solutions
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -1.58% | -6.29% | -4.68% | -23.16% | -37.08% | -26.90% |








































