How to Implement Enterprise Agentic AI in Your AML Workflow Transaction monitoring for Anti-Money Laundering generates more false positives than any other compliance function I've managed. At my previous institution, we investigated roughly 12,000 alerts monthly, with a true positive rate under 2%. The math is brutal: hundreds of analyst hours spent documenting why legitimate wire transfers to high-risk jurisdictions aren't actually money laundering. If you're facing similar alert fatigue, here's a practical roadmap for implementing agentic AI in your AML operations. The core promise of Enterprise Agentic AI in transaction monitoring is intelligent triage: letting AI agents handle the obvious false positives while routing genuinely suspicious activity to your most experienced investigators. But getting there requires methodical implementation. I'll walk through the process we followed to deploy our first agentic system, including mistakes we made and how to avoid them.…