It’s all about context. Scaling up agentic AI for anti-financial crime.

Banks are operationally challenged by volume and depth in financial crime compliance. Neil Katkov, PhD, explores how modernizing data infrastructure and embracing contextualization can support anti-financial crime operations & AI initiatives in a demanding regulatory environment.

Inside the report

Data modernization for AI enablement: Why fragmented data and weak governance are now the primary barriers slowing AI deployment.
Optimizing agentic AI: How siloed data complicates operations and leads to missed opportunities for detecting illicit activities.
Enterprise knowledge graphs: How to durably hold the bank's knowledge and assemble the relevant portion as context for each agent, at scale.

Celent Research Report: It’s All About Context. Scaling up agentic AI for anti-financial crime, presented by DataWalk

“Enterprise knowledge graphs can support agentic AI by holding the bank's knowledge and assembling the relevant portion as context for each agent, at scale.”
— Neil Katkov, PhD

About the Author

Neil Katkov, PhD

Neil is a Director in Celent's global Risk practice.

He initiated Celent's influential research on financial crime compliance and technology in 2002 and regularly advises leading financial institutions on their business, technology, and compliance strategies.

Neil Katkov, PhD, Director in Celent's global Risk practice

Buy vs. Build in the Age of Generative AI