AI in anti-money laundering (AML) has reached a regulatory tipping point. The question is no longer whether regulators will set the rules. It’s where they’ll move first, and what they’ll expect when they do This Napier AI whitepaper looks at how regulators around the world are approaching AI in AML, including the UK, EU, US, Singapore, Australia and Canada. It explains what that means for how you plan, build and defend your AI strategy. Inside, you’ll find: A three-tier framework (AI Accelerators, Appreciators and Appraisers) showing which markets are leading, which are following and which are holding back, and why The AI use cases regulators are likely to approve first, and the ones that will face the toughest scrutiny Why faster workflows don’t equal lower risk, and where bolt-on agentic AI falls short The compliance-first AI model regulators can trust, built on explainability, governance and continuous validation A practical framework for aligning your programme with where regulation is heading Regulators won’t approve AI in general. They’ll approve specific, controlled use cases. Find out which ones and get ready before expectation becomes mandate.
