The Missing Foundation of Agentic Supply Chain AI

Supply chain leaders are not debating whether AI belongs in planning. That argument has largely moved on. The more consequential question is whether AI can be trusted when its recommendations affect inventory exposure, service commitments, supplier allocation, production sequencing, quality release, and cash.

That is why Explainable AI is becoming central to agentic supply chain decisions. Agentic AI can recommend actions, monitor exceptions, coordinate workflows, and in some cases initiate planning steps. But autonomy without explanation creates a governance gap. A planning system that recommends a supplier switch, stock reallocation, production change, or transportation reroute must show why the recommendation was made, which assumptions changed, what data informed it, and where the operational risk sits.