Governed AI Workspace

Supervisor-Worker Architecture

By DataMPowered Team · Publisher: DataMPowered

Last updated: 16 June 2026

Supervisor-worker architecture separates governance from task execution in AI systems.

Definition

The Supervisor authorises and monitors work; Workers complete governed tasks; Tools provide data and actions under policy.

Why it matters

Collapsing governance and generation into one model hides who decided what was allowed.

ifCEM approach

Supervisor governs only — it does not generate responses. Workers and tools operate within approved constraints.

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