The Decision Intelligence Gap: Why Explainable AI Must Come Before Autonomous Planning

Autonomous planning is becoming one of the most ambitious goals in modern supply chain AI, but the path toward it is often discussed in the wrong sequence. Many organizations want faster planning cycles, smarter recommendations, fewer manual interventions, and more responsive end-to-end supply chain visibility. Those ambitions are valid, although they can create risk when enterprises try to automate planning decisions before they can clearly explain how those decisions are made.

OMP’s Making AI Work for You: From Explainable to Agentic speaks directly to this transition. The campaign is not only about moving from AI insight to AI action. It is about creating the trust layer that allows AI Supply Chain Planning to become more practical, transparent, and business-ready.¹