Why AI pilots stall

A pilot proves a tool can work. It doesn’t prove people will use it. Most stalled AI projects stop exactly in that gap.

Four reasons pilots stall

1. The pilot team isn’t the real team. Pilots attract volunteers who like new tools. The people who will use it every day are often less curious and much busier.
2. Nobody owns what comes after. The pilot ends, the project team moves on, and no one is named to take the tool into daily work.
3. "Done" was never defined. Without agreed acceptance checks, the pilot ends with opinions instead of evidence.
4. Training is a demo. One session at launch, then nothing. People need help in weeks two to six, when they hit real cases.

None of this is new

Change management has dealt with these problems for every rollout, from mobile devices to telework tools. AI raises the stakes because output quality varies and trust is easy to lose.

Set up before day one

• Run the pilot with a team that will actually use the tool, not only volunteers.
• Name the owner for after the pilot before it starts.
• Write down what "done" means and how it will be checked.
• Plan support for the first six weeks, not only the launch day.

Which of the four has stalled a pilot in your company? Tell me on LinkedIn.