AI won't transform your commercial performance — unless you let it
The three decisions that separate commercial AI success from pilot purgatory.
Most commercial AI pilots stall at the same place: a working model, a willing team, and an organisation that keeps selling the way it always did. The model is not the bottleneck. The operating model is.
Three decisions separate the companies that convert pilots into margin from the ones stuck in demo loops. First: who owns the P&L impact of the AI, named by role, not by committee. Second: which existing process you are willing to retire, not augment. Third: what you will stop measuring, because the old KPI now rewards the wrong behaviour.
None of these are technical. All of them are uncomfortable. That is why they are usually skipped.
The companies that skip them end up with a thicker tool stack and the same sales curve. The ones that make the calls early find the value in places they did not pilot — pricing discipline, deal qualification, renewal timing — not the use case the vendor demoed.
Pilot purgatory is not a technology problem. It is a decision-avoidance problem dressed up as a roadmap.
The decision: name the owner, name the retired process, name the retired metric — before you sign the next AI contract.