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Operate GenAI systems with SLOs, incident response, progressive rollout, and clear organizational accountability.
Production is a continuing operating model. Someone must own quality, tools, data, policies, costs, incidents, and change approval after the launch team moves on.
Useful indicators include successful task completion, grounded-answer rate, unsafe-action rate, escalation rate, latency, availability, and cost per successful task. Model uptime alone does not show whether the product works.
Runbooks should cover provider failure, quality regression, prompt injection, data exposure, runaway costs, tool side effects, and corrupted memory or retrieval indexes. Immediate controls may include disabling a tool, switching to read-only mode, reverting a configuration bundle, or routing to a deterministic fallback.
| Area | Typical owner |
|---|---|
| Product behavior and acceptance | Product and domain owner |
| Runtime, deployment, and SLOs | Engineering / platform |
| Knowledge and retrieval quality | Data or domain content owner |
| Tools and skills | Owning business or service team |
| Risk, privacy, and policy | Security, legal, and governance partners |
A system is production-ready when it can be specified, evaluated, deployed, observed, limited, rolled back, audited, and owned.