Who owns an AI implementation after launch?

The team that approves an AI project is sometimes different from the team that inherits its daily operation. Decide who owns the work before launch. A job title in a project plan helps only if that person has access, a backup and enough time to act.

Divide responsibilities by decisions

Take an assistant that prepares a daily delivery exception report. Dispatch owns the definition of a late delivery and decides which exceptions justify a call. The systems administrator owns access to the dispatch platform. The implementation partner maintains the integration and tests changes. A shift supervisor owns unresolved cases at the end of the day.

Write these as questions people can answer. Who can change the lateness threshold? Who can see a customer address during investigation? Who can pause the report when a source is wrong? Who checks that the next shift receives open cases? One person can own several decisions at a smaller company, but each decision still needs an answer.

Rehearse a routine change

Imagine dispatch adds a new delivery category. Walk through who notices the change, who updates the report definition, who tests a sample and who tells supervisors what changed. Then try a staff absence. If the only person who can resume the workflow is on holiday, give a backup the necessary role and operating instructions.

Keep a short ownership sheet where the team manages the workflow. Include contact channels, support hours, permission boundaries and the last review date. Review it when the business owner, vendor or source system changes. Ownership that survives a staff change is more valuable to a buyer than a long list of people who attended the kickoff meeting.

Put this into practice

Bring a sample of the work and the tools your team uses. We can help define a first project, who reviews it, and how to tell if it works.

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