Board patience for AI experiments is thinning, and a live deployment is no longer enough to count as a win. A Chief Analytics & AI Officer, a chief architect, a product leader and a Chief AI Officer share what it took to get AI adopted, funded and measured in their organizations after launch. This panel will cover who owns adoption once a system is live, how they made build versus buy calls, and how they report ROI upward in a way leadership accepts. Key Takeaways: → What has to be in place beyond the model for adoption to stick, from data readiness to clear ownership → How to set value metrics that hold up in front of a board or CFO → Where deployments stall after launch, and the decisions that got them moving again