Diego Faria
Diego Faria is a supply-chain planning executive and Vice President of ETO North America Planning at Schneider Electric. His work covers planning in engineer-to-order environments, where customer commitments, configurable products, material availability and operational constraints must be coordinated across the network.
His public contribution to the autonomous-planning discussion focuses on confidence-based adoption. Planners validate AI-generated recommendations over repeated cycles, allowing autonomy to increase only when the system demonstrates consistent performance.
Faria’s confidence-scoring approach provides a practical governance mechanism for autonomous planning. It turns trust into an observable process rather than a general attitude toward AI.
Each recommendation requires a statistical or operational baseline, validation window, responsible planner and outcome measure. The organization must also determine who owns a service failure after a planner approves an automated recommendation. Autonomy should be reversible when data quality, supplier behavior or operating conditions change.
Around Diego Faria (12)
- insightsHuman accountability remains central to self-driving S&OP2026-06-25
- insightsBuild Fast, Govern Early: The New Control Layer for Supply Chain AI Tools2026-06-01
- insightsKinaxis and the “SaaS-pocalypse” test: why supply chain software may be different2026-06-09
- insightsWhat Agent Washing Means for Supply Chain Planning Governance2026-06-06
- newsPigment Introduces Graphite Architecture for Scalable, Governed Planning2026-06-05
- insightsErik Bush reframes the trillion-dollar inventory problem as an operating-model failure2026-06-05
- insightsIs the Hybrid Expert the Future of APS and AI-Driven Supply Chain Projects?2026-06-05
- insightsJon Nichols shows what continuous planning looks like in a next-gen planner’s week2026-06-05
- alertsEVENT: MyExobrain highlights agentic AI adoption gap after Gartner Supply Chain Symposium2026-06-03
- alertsEVENT: Alkemys webinar highlights pragmatic AI agents in Supply Chain2026-06-03
- insightsMulti-agent supply chains need a control plane before they need more agents2026-06-03
- insightsSupply Chain Skills Are Becoming Decision Architecture Skills2026-06-03