An artificial intelligence 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.
Acronyms and aliases
agent control plane variantAI control plane variantartificial intelligence control plane variant
Specialised terms
Related terms
Frequently asked questions
What does an AI control plane manage?
It can manage policy, usage attribution, budgets, observability and authorized interventions across agent runs.
How is a control plane different from an agent?
The agent performs task work, while the control plane observes and governs how that work uses models, tools and resources.
