MedTech supply chains are investing in AI, automation, and digital platforms at an unprecedented pace, yet the technology stack changes faster than any organization can standardize around it. What endures is not the platform but the operational discipline underneath it: trusted master data, planning rigor, root cause thinking, and the judgment to know when to trust an algorithm and when to challenge it. Too often, AI initiatives stall not because the technology fails, but because the organization never codified the fundamentals the technology depends on. In this session, explore why durable operating principles, not tools, determine whether AI investments actually deliver, and how leaders can embed those principles into training, governance, and daily management so that operational judgment survives turnover, reorganization, and the next wave of technology change. 

• Understand why timeless operational disciplines such as data quality, planning cadence, and accountability determine the return on AI and automation investments
• Learn practical approaches for codifying operational principles into onboarding, governance, and daily management systems so judgment scales beyond individual experts
• Explore how leaders can develop teams that treat AI as a multiplier of operational understanding rather than a substitute for it