Getting value from AI without betting the company

Every leader we speak to has run an AI pilot. Far fewer can point at a line in their accounts that changed because of one. The gap between a demo and a result has become the defining problem of corporate AI, and it is not a technology problem.

The pattern in companies that get value is consistent. They pick processes they already measure, so the before and after is visible. They put the tool in the hands of the people who own the process, not a separate innovation team. And they set a kill date: if the pilot has not earned its keep by then, it stops.

The pattern in companies that burn money is just as consistent. Pilots chosen for how impressive they sound. Success defined after the fact. Tools rolled out to everyone at once, so nobody can say what changed.

There is also a quieter risk: the deployment that works too well, spreads informally, and ends up load-bearing without ever being reviewed. Ask your teams what they would lose if the tools disappeared tomorrow. The answers are usually surprising in both directions.

None of this requires genius. It requires leaders comparing notes honestly, which is precisely what a private table is for.