FDIC, AI & Risk Management: How to Inventory, Assess & Govern AI Activity

No longer experimental in banking, artificial intelligence is embedded in fraud detection, underwriting, AML transaction monitoring, customer service chatbots, marketing personalization, liquidity forecasting, and even instant payments decisioning. Yet many community and mid-size institutions cannot clearly answer the questions examiners are starting to ask: What AI is in use here? Who owns it? How was it validated? Where does the data come from? And how do you know it is working as intended?

This practitioner-focused session will walk through a structured approach to building an AI inventory and risk assessment framework that aligns with FDIC supervisory principles, SR 11-7 model risk management expectations, and broader third-party risk guidance. Drawing directly from the FDIC's own published AI use-case inventory templates and compliance plan, attendees will see how a federal agency structures the same governance challenge and how to translate that approach into a bank-sized, examiner-ready program. You will leave with a practical roadmap, an inventory framework, and supporting templates that transform a simple spreadsheet into a defensible AI governance system.