OpenAI's agent documentation points to a practical reality for internal automation: once an agent can update records or trigger actions, the valuable work shifts to approval design, run-state logging, observability, and staged rollout governance.
OpenAI’s current computer-use stack is now capable enough for tightly defined browser-task pilots. The real implementation work is not the demo layer; it is designing credential scope, approval gates, and async reliability so the workflow behaves like an operational system the business can trust.