An agent operations platform is the layer that lets autonomous agents run real business operations in production — safely, repeatably, and on the record. It stands to agents as continuous delivery stood to code: the difference between something that works in a demo and something an organization can bet its operation on.
The four capabilities that define the category
Deployment. Software and agents reach production through graduated release tracks — proven in staging, validated on a canary environment, then advanced across a fleet — with health gates deciding promotion and failures reverting automatically.
Governance. What an agent may do is declared, versioned policy — not prompt engineering. Consequential actions route through approval gates. Budgets are enforced with hard stops.
Runtime. Agents execute on managed infrastructure with heartbeats, resource limits, and bounded failure domains — one business per isolated environment, so a failure is contained by construction.
Evidence. Every deployment, approval, action, and reversion lands in an append-only ledger with full provenance — the triggering event, the authorizing policy, the approving identity, the final effect. The operational record is the system of record.
What it is not
It is not an agent framework (those build agents; this operates them), not an observability tool (watching is not governing), and not a dashboard (a dashboard asks a person to operate; this platform asks a person to decide). The distinction that matters: frameworks make agents possible. An agent operations platform makes them accountable.
Turbine, built by Studio713, is an agent operations platform — the reference implementation of this definition, run in production on the lab's own multi-location retail company before it carried anyone else's. Explore the platform →