AI in AML: From Experimentation to Operationalization Celent

These developments are a natural outcome of the growing costs, inefficiencies, and sub-optimal outcomes plaguing AML operations at most banks. Regulators and supervisory agencies have started to take note and share generally positive views and feedback. A recent joint statement from supervisory agencies in the US is being regarded to be a catalyst for further promoting innovation and expediting adoption of AI and ML solutions in AML. There is great appetite among industry participants to learn about live use cases of AI being applied in AML, as well as the challenges and considerations when operationalizing AI. In a recent Celent report we analyzed in detail live AI solutions from eleven vendors representing a good mix of incumbent providers and industry newcomers, as well as a mix of solutions that span different parts in the KYC-AML value chain.