Innovating at speed requires ensuring enterprise readiness, from development of a modern technology stack and data program, to identifying and addressing any bottlenecks or barriers that could prevent you from reaching your AI objectives. Control measures and risk management practices need to be developed, communicated, and monitored. Auditing of GenAI results to ensure accuracy, and minimize bias, also need to become standard practice. This discussion will provide guidance to create a checklist of challenges to watch out for so that you can lead effectively through the generative AI disruption with confidence.