Agent washing creates a governance risk in supply-chain planning

Research attributed to Gartner warns that conventional automation is increasingly marketed as agentic AI. For supply-chain planning, the distinction matters because genuine agents require autonomy boundaries, memory controls, escalation, auditability and safe fallback. Buyers should test whether a system can independently pursue goals, how it handles conflicting constraints and when a human can intervene.