There is a pattern I keep reading about and seeing in enterprise AI. The pilot ships in six weeks. The room is impressed. The board approves the production rollout. Eighteen months later there is no production system. Just a quiet graveyard of pilot demos that never made it through change management.
It does not look like a model problem. The pilot worked. The accuracy was real. The savings were measurable on the demo dataset.
It looks more like a context problem. A pilot lives in a sandbox. Production lives in a hundred upstream systems, three legal reviews, two compliance teams, a procurement cycle, and the unspoken expectations of every person whose job is about to change shape.
The pilot proved the model works. The production rollout has to prove the org works around the model. I am not sure most organisations have priced that second proof honestly.
A pilot tests the model. Production tests the company.
From what I can tell, the teams that get through this gap are not the teams with the best engineers. They are the teams with someone senior enough to walk a deployment through eight different rooms and keep it intact.
I have come to think of the pilot graveyard as a leadership problem more than a tech problem. The models do not need defending. The change does. Whoever signs up to defend the change has to outlast the meetings.
Who in your org has the standing to keep an AI rollout intact through eighteen months of meetings? If you cannot name them, the pilot might be the easy part.