RAG can answer a question. But can it defend that answer to a regulator? Most enterprise AI stalls in production because it retrieves — yet it can't reason across systems, take action, or be audited. In this talk I'll show how investigative AI agents go further: decomposing a problem, calling real tools across your data, verifying their own work, and producing an evidence trail an auditor would accept. You'll leave with a framework for AI that doesn't just respond — it investigates, and holds up when someone says "prove it."
