Agentic AI systems promise operational relief for AML teams drowning in alert volume and investigator constraints.Yet a gap persists between promise and practice: How do you distinguish genuine agentic capability from automation hype? Which use cases deliver measurable value in your organization? And how do you navigate the governance, procurement, and data quality barriers that stand between pilot and production?

This roundtable will explore what's actually possible today—not theoretical future-state. We'll discuss:

• Use case prioritization: Where does agentic AI deliver highest return on investment in AML operations?

• Governance realities: What approval layers, governance, and model risk management requirements slow or stop deployment?

• Data foundations: What data quality and infrastructure gaps block progress?

• Human-in-the-loop trade-offs: How do you maintain appropriate oversight while realizing automation benefits?

Bring your implementation challenges. Leave with peer insights and practical solutions.