Why Your AI Output Looks Right and Isn't — A Verification Checklist for Finance [10/2/2026] (Recording)

AI can produce polished financial analysis that looks convincing even when the underlying numbers, assumptions, or conclusions are wrong. This session is designed for finance professionals who want to use AI more effectively while maintaining the accuracy and judgment required in financial work. You’ll learn a practical checklist for verifying AI-generated outputs, spot common errors in calculations and assumptions, and know when an answer needs deeper review before you rely on it. Attending live gives you the opportunity to ask questions about your own finance workflows and see how to apply these verification practices to real examples. The speaker will walk through practical ways to check AI outputs and share best practices for using AI without losing control of the underlying analysis. If you want to use AI more confidently while knowing when to question its output, it’s worth joining live.