Almost every enterprise we talk to has run an AI pilot. Fewer have one running in production six months later. The technology in the demo and the technology that stalled are usually the same technology. What's different is everything around it.

A pilot without an owner is just a very expensive demo.

The demo isn't the hard part

A good demo proves the model can do the task under good conditions, with clean data, a motivated presenter and no real consequences if it's wrong. Production asks a harder question: can this hold up when the data is messy, the user is busy, and getting it wrong costs someone time or trust? That gap is where most pilots quietly stop.

Four places pilots actually stall

  • No owner: the pilot was sponsored, but nobody's job is to get it into daily use once the project team moves on.
  • Data and access: the model needs systems, documents or approvals that took months to get for the pilot and were never meant to be permanent.
  • Workflow fit: the tool sits next to the job instead of inside it, so people have to remember to use it rather than simply using it.
  • No definition of success: without a baseline to compare against, "it works" and "it's not worth it" both sound equally reasonable.

What moves a pilot into production

The pilots that survive tend to share a small set of habits, put in place before the first line of a workflow is touched.

  • Name an owner on day one — someone whose job includes making this work, not just launching it.
  • Put it inside one real workflow for one real team, rather than a sandbox everyone has to remember to visit.
  • Measure against the current way of working, not against a perfect outcome. "Faster and more consistent than today" is a real result.
  • Plan the next ninety days before day one: who reviews outputs, who fixes access issues, who decides whether to expand it.

None of this is about better models. It's about treating the pilot as the start of an operating change, not a proof of concept to be admired and shelved. That's usually the actual difference between an AI pilot and an AI system that's still running a year later.