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Coordination

Execution Breaks When Context Gets Lost

March 31, 20262 min readKevin Cordeiro

Supply chain execution requires adaptation.

The current state informs decisions, decisions drive actions, those actions shape the next state... and so on. To keep the cycle moving, teams, systems, and partners need to stay aligned as conditions change.

This alignment relies on context, and much of it lives outside systems of record. Tradeoffs are discussed in emails, decisions get made in meetings, and handoffs are 'completed' in chat threads. By the time work moves to the next step, part of the picture is missing and hard to trace. This leaves teams chasing updates, reconstructing what happened, and filling gaps just to keep things moving.

AI can route work, trigger actions, and preserve context. But coordination improves most when AI is grounded in information people can trust, and there’s enough of it to support the next decision.

The real opportunity is to build a trusted data foundation with shared structure and meaning, then use AI to orchestrate operations with greater clarity.

Puzzle pieces over a map showing missing context between start and end points