Conversations and solo deep dives on building AI agents. No fluff — just what's actually working.
Regulators are pushing AML teams to stop counting checklist boxes and focus on the signal in the noise. Abhishek Mittal on why the number of SAR filings is the wrong measure of success, and how AI can finally move the 1% of financial crime we actually catch.
In anti-money laundering, an AI told to protect a bank's profits could bury the very transactions it's supposed to flag. That's alignment faking — and it's a real risk for AI in AML.
$4.4 trillion flows through global financial crime every year — and current systems catch barely 1% of it. Can AI change that, or is it just flooding anti-money laundering (AML) teams with more noise?
@agentsandactionspodcast
Headline: Is Your AI Agent Compliance-Ready? 🤖🏦 The Future of Banking is "Agentic," but the Moat is Domain Knowledge.