AI programmes are transformation programmes

We tracked 63 AI initiatives to month 18. The ones owned by operating committees delivered a median 68% of their value case; the ones owned by IT delivered 23%. Frequently the technology was identical. What differed was whether anyone who owned an operating decision — an order, a price, a service queue — was accountable for the model changing it.

The mechanism is unglamorous. A forecast that no ordering forum consumes is a chart. An answer engine that no service process trusts is a demo. AI creates value at the moment an operating decision changes, and IT — through no fault of its own — does not own operating decisions.

The screening test we now apply is one sentence: which operating decision does this change, and who owns that decision? In a recent engagement it killed 31 of 42 candidate use cases in a week — the highest-return week of the programme. The eleven survivors all reached production, because each had an owner whose Monday changed when the model worked.

The consequence for structure is equally short: AI belongs on the operating committee agenda, priced per use case, sequenced like any other commitment. Not because AI is unimportant, but because it is important in exactly the way every other operating change is — and the machinery that delivers operating change already has a name.