Agentic AI has moved fast in financial crime compliance over the past year, from simple anomaly flagging to systems that can actually investigate, reason, and act. This session traces that evolution, unpacking real use cases where agentic workflows are cutting investigation time and manual workload, alongside the practical and regulatory obstacles teams are navigating in financial services. Attendees will walk away with a clear-eyed view of what's genuinely possible today, what governance guardrails are non-negotiable, and how to build a case for adoption inside their own institution. Whether you're evaluating your first agentic pilot or scaling one, this session will ground the hype in what's actually working and what's required to do it responsibly.

• What does "agentic AI" actually look like in banking today and how is it different from the automation and detection tools compliance teams have used for years?
• How can compliance teams move past the operational and regulatory hurdles to unlock agentic AI adoption instead of stalling on it?
• How do you govern an AI agent that takes action, not just flags a risk? What controls, oversight, and audit trails make agentic investigations defensible?