How to Evaluate AI Agents for AML/KYC
A practical guide for teams to assess, test and implement AI agents into compliance workflows.
Explainability is just the starting point for AI in compliance. This guide helps you critically evaluate and test so you get it right the first time.
Learn how to test AI agents for autonomy, accuracy, auditability and compliance readiness, before you commit.
What’s inside the guide
True agentic AI vs. automation: How to spot real autonomy, not just workflow orchestration.
Data governance: Why ownership and control of risk data matters for safe decisioning and auditability.
Edge case handling: Can the agent triage intelligently and learn, or is escalation the default?
Decision journaling: What auditors and regulators expect from AI explainability and documentation.
Human-in-the-loop design: How to ensure the right feedback loop to improve accuracy and accountability.
Regulatory readiness: How to align AI deployment with emerging regulatory expectations.
