Most companies pursuing supply chain AI are making a critical mistake: They start with technology before fixing the data foundation that makes AI reliable. Lenovo took the opposite approach, spending years integrating operational data before building an enterprise-wide AI architecture that coordinates decisions across procurement, logistics, manufacturing, and fulfillment. Its experience offers four lessons for executives: prioritize data quality, build integrated systems, align AI with business priorities, and own proprietary operational intelligence.