JMR Infotech, Coopbank launch AI-powered compliance

By Vriti Gothi

The deployment forms part of JMR Infotech’s ongoing Financial Crime and Compliance Management (FCCM) engagement with Coopbank, building on the successful completion of Phase 1 earlier this year. The latest phase introduces Automatic Scenario Calibration (ASC) an advanced Artificial Intelligence (AI) and Machine Learning (ML)-driven capability that intelligently calibrates threshold sets for transaction monitoring scenarios based on historical data patterns.

By harnessing AI-powered automation, Coopbank will now benefit from optimised alert generation across all detection categories, enabling its compliance operations to function with enhanced precision and agility. The ASC engine eliminates manual configuration processes, significantly reducing false positives and the likelihood of missed critical alerts. Through continuous learning from alert outcomes, the solution ensures a dynamic balance between robust risk coverage and operational efficiency empowering Coopbank to make faster, data-informed decisions and proactively mitigate financial crime risks at scale.

Shimelis Legesse, Chief Information Officer, Cooperative Bank of Oromia, commented, “This implementation is a key milestone in our compliance transformation journey. The solution empowers us to manage financial crime risks more effectively while improving operational efficiency. We appreciate the dedication and expertise of JMR Infotech and Oracle throughout this project.”

Suresha Ramachandra Iyer, President & Head Enterprise Risk and Analytics, JMR Infotech, added, “The successful implementation of FCC Studio at Coopbank reinforces our commitment to delivering intelligent, scalable, and practical compliance solutions. By leveraging AI and ML, the bank can now optimise alerts, reduce false positives, and enhance operational efficiency empowering the compliance team to focus on high-risk cases and proactively manage financial crime risks.”