Enterprise adoption of generative AI is accelerating rapidly, yet many programs still struggle to deliver sustained business value. Evidence across industry and research points to a recurring pattern: strong pilot performance does not translate into production impact because expectations move faster than capability, while operating models remain too close to traditional software delivery assumptions. The session covers on practical approaches to ensure that program development takes into account the distinct challenges in AI and have a proven framework to combat it.