The shift from experimental AI to production AI involves three layers: a governed data foundation, accelerated compute, and production orchestration, each with clear ownership and functionalities. Real-world use cases of this approach driving significant profit growth include a hospitality organization integrating AI into every step of the customer experience in a matter of a couple of weeks. It’s an example of how platform engineering paves the way for efficiency, time-to-value, and difference-making AI applications.