Watch the on-demand fireside chat
AI agents are only as good as the data they run on – yet most discussions about AI in AML skip past the data layer entirely. In this session, compliance practitioners and AI implementation experts examine the foundational data requirements that determine whether agentic AI delivers on its promise.
What you'll learn:
How data accuracy, completeness, and structure determine what agentic AI can and cannot do in AML workflows
Where data gaps silently degrade alert quality and risk decisioning
How AI agents consume and interpret data context at the point of decision
How to assess data readiness across customer records, transaction history, and third-party feeds
