An AI control plane provides shared governance across models, agents and applications. It can collect run metadata, attribute cost, evaluate policies and authorize interventions at controlled boundaries.
Separating the control plane from task execution lets teams update governance consistently without rewriting every agent. The boundary must remain explicit so the control system cannot inject arbitrary behavior beyond its approved interventions.
ELI5
An AI control plane is a central layer that observes AI activity and applies shared rules across models, agents and applications. It manages governance without taking over each application's main job.
For example, a control plane can record usage, enforce spending limits and require approval before an agent performs a sensitive action. Its own powers should be narrow and auditable so it cannot quietly change task behavior outside those approved controls.
