Genpact has introduced a new agentic AI solution aimed at helping banks streamline anti-money laundering (AML) investigations, as financial institutions face growing regulatory scrutiny and increasingly sophisticated financial crime. The company has launched the Genpact Banking Analyst Suite, with its first module, Transaction Monitoring Analyst, now generally available for regulated banking operations.
The new suite is designed to support banks in completing routine AML alert investigations faster while maintaining human oversight over regulated decisions. Rather than replacing compliance analysts, the solution uses multiple AI agents to perform the initial stages of an investigation before presenting recommendations for human review and approval. According to Genpact, the platform has been developed using the company's experience in managing financial crime operations for major global financial institutions, including the review of millions of alerts annually.
Transaction Monitoring Analyst orchestrates specialized AI agents that assess customer behavior, analyze transaction patterns, validate customer profiles, review historical alerts and recommend the next course of action. Every recommendation is accompanied by a documented rationale and a complete audit trail, allowing compliance teams to review AI-generated findings before making final decisions. The company emphasized that no regulated action is taken without human approval.
Financial institutions continue to grapple with rising alert volumes, evolving money laundering techniques and stricter compliance requirements. Traditional transaction monitoring systems often generate large numbers of false positives, increasing operational costs and extending investigation timelines. Genpact said its latest solution is intended to automate repetitive Level 1 investigations, allowing analysts to focus on more complex and higher-risk cases requiring human judgment.
The company estimates that, for eligible AML investigations, the platform can reduce handling time by up to 80% while lowering total cost of ownership by as much as 40%. It also aims to improve consistency across investigations by standardizing review processes and generating documented evidence that can support regulatory audits and compliance reporting. The actual outcomes, however, may vary depending on an institution's operating environment, implementation scope and data quality.
Genpact plans to expand the Banking Analyst Suite beyond transaction monitoring into additional regulated banking functions. Future modules are expected to cover customer due diligence, sanctions screening, fraud management, customer service and other risk-related workflows. The suite has been designed to support governance requirements, data isolation, information security and integration with existing banking systems. It also operates alongside Genpact's riskCanvas financial crime platform for institutions already using the company's compliance technology.
Among the early adopters is AMP Bank in Australia and New Zealand, which is deploying the Banking Analyst Suite to enhance financial crime investigations. According to the company, the implementation is expected to help improve investigation consistency, accelerate case resolution and reduce manual effort while enabling compliance teams to devote greater attention to complex financial crime cases.
The launch comes amid growing enterprise investment in agentic AI, where AI systems are designed to execute multi-step workflows while operating under human supervision. In banking, the technology is increasingly being explored for compliance, fraud detection, customer service and operational efficiency as institutions seek to modernize processes without compromising regulatory controls.
For Genpact, the Banking Analyst Suite represents another addition to its expanding portfolio of enterprise AI solutions. As financial institutions continue to balance operational efficiency with regulatory compliance, agentic AI platforms are expected to play a larger role in supporting high-volume banking operations while preserving human accountability in decision-making.