How enterprises move AI from pilot to production

Name the workflow and its owner.

A pilot may belong to an innovation team while the eventual workflow belongs somewhere else. Identify the operational owner early. That person needs to understand the expected result, the review burden and the conditions under which work returns to a manual process.

Document the users, data sources, systems and consequences of an incorrect action. Agree a baseline against which the new workflow can be judged. Adoption and useful completion matter as much as the quality of a sample response.

Replace convenient access with appropriate access.

Shared test credentials and broad document access are common shortcuts during exploration. They should not silently become the production permission model. Establish user identity, service credentials, retrieval boundaries and the process for changing access.

Map where information is processed and stored, including logs and evaluation samples. Resolve provider, retention and deployment questions with the relevant client teams before connecting sensitive operational information.

A production release is a decision about ownership and operating conditions, supported by tests.

Build a release gate around representative work.

Evaluate ordinary tasks and difficult inputs. Include questions the source material cannot answer, partial system failures and requests outside the permitted scope. Check whether review and escalation work as designed.

• Can the team explain what the system may and may not do?
• Are known examples evaluated before a release?
• Can operators detect, investigate and contain a failure?
• Is there a practical rollback or manual fallback?
• Are support responsibilities and operating costs understood?

Treat change as part of the system.

Models, knowledge and integrations change on different schedules. A controlled release process records what changed and runs the relevant evaluations before exposure increases. Replacing a model is a product change when it alters the work users receive.

Begin production with a bounded workflow and a service review cadence. Expansion becomes easier when shared identity, logging and evaluation foundations already exist. The aim is not to reproduce every pilot at once, but to establish a reliable way to decide what should run next.