Your AI pilot needs a serious party pooper

Strong AI governance requires a party pooper before scaling a successful case.

Consider an AI assistant helping maintenance planners find equipment failure patterns. During the pilot, the most experienced engineers gather to resolve ambiguous records and check AI recommendations. Corporate automation experts join in. The result looks great.

The wider deployment then assumes that the same expertise is available across plants, shifts and contractors.

Put expert capacity in the business case

When seeking board approval for a material expansion, that assumption belongs in the business case. The promised value may depend on expert review capacity that the business cannot replicate economically. The absence of a serious incident during the pilot leaves the consequences of wider deployment untested.

I would ask the business owner to show who resolved the difficult cases, how much of their time the pilot consumed, and where equivalent capacity will come from at scale. If the answer is that the same few people will support every site, the business case needs to show how that will work.

The people providing this challenge need independence from those rewarded for rollout. Their job is to make the conditions behind the success visible while the board can still act on them.

The executive board can then judge whether to back the expansion. The business owner needs the same clarity: after the pilot, most of the promised business value still has to be realised.

Challenging a success case is uncomfortable. Give someone the authority to be a serious and independent party pooper.