Why AI agents need a separate orchestration layer for reliable distributed work
Many diagrams of AI agent orchestration blur two distinct jobs: deciding the next step, which is reasoning, and reliably executing distributed work, which is orchestration. Agent frameworks excel at breaking down tasks, selecting tools, and adjusting plans, but they lack built-in guarantees for retries, idempotency, long-running state, and large-scale fan-out. A true orchestration layer must persist state, survive restarts, retry with backoff, deduplicate, and support rollbacks. The article recommends pairing the agent with a governed capability runtime that validates schemas, enforces identity and approvals, and records traces, with the agent acting only as planner and an orchestrator handling execution.
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