AI-generated forecast commentary, scenarios, assumptions, and recommendations are moving into live planning cycles. That changes the stakes. A polished output can influence investment choices, margin decisions, hiring plans, and board narratives before finance has fully tested the logic behind it. This fireside examines the accountability gap now opening inside AI-enabled FP&A. As automated analysis becomes more embedded, finance leaders need stronger review points, clearer decision rights, tighter model governance, and a sharper view of which assumptions deserve challenge before they harden into direction. Expect a senior discussion on what finance must stop accepting at face value, how teams build control without slowing the business down, and where FP&A’s value shifts when the machine can produce credible analysis at speed. Key takeaways: - Examine how AI-generated forecasts, scenarios, and commentary can influence decisions before the logic has been properly challenged. - Learn how senior FP&A teams are redesigning controls, review points, and decision rights around AI-enabled planning. - Explore what finance must stop accepting, re-own, and govern differently as AI moves deeper into forecasting workflows.