Multi-agent AI systems need control planes to separate agent recommendations from execution authority, policy enforcement, and auditability.

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Multi-agent systems do not fail like normal software; they can coordinate into bad decisions without crashing. Orchestration only routes agents and tools, while a control plane decides whether an action is allowed before it executes. For enterprise AI, agents should propose actions, but policy, state checks, and deterministic controls must approve them.