Financial Crime and Compliance (FCC) has become increasingly complex as financial institutions face growing regulatory scrutiny, sophisticated fraud schemes, and rising expectations for better customer experiences. Generative AI presents a compelling opportunity to transform FCC operations. It streamlines labor-intensive processes, enhances investigative accuracy, and reveals hidden insights. From real-time anomaly detection to faster due diligence and enriched case management, its potential to reshape the FCC value chain is significant.
This report assesses the generative AI landscape for FCC. It examines key use cases across the FCC lifecycle, including dynamic screening, entity resolution, Fraud and AML (FRAML) monitoring, and anomaly detection. The report also evaluates how providers are developing solutions across the FCC lifecycle to deliver innovation. It evaluates 12 technology providers using Everest Group’s Innovation Watch Assessment framework, categorizing them as Luminaries, Fast Followers, Influencers, and Seekers. The report delivers insights into emerging provider solutions, their core capabilities, and the business challenges they address, equipping enterprises with a clear view of the evolving FCC technology landscape.
Scope
Industry: Banking and Financial Services (BFS)
Geography: global
Service: generative AI technology solutions under the FCC function
Contents
In this report, we
Assess 12 FCC technology providers
Position the providers on the Everest Group’s Innovation Watch Assessment framework as Luminaries, Fast Followers, Influencers, and Seekers
