Pilot purgatory
What is Pilot purgatory?
The state where a company runs pilot after pilot that all prove out, yet none reaches production. It's rarely a technology failure. More often it's an execution gap: fuzzy ownership, no integration, no one funded to take the demo the last mile. IDC put the share of proofs of concept that never ship at 88 percent.
Why it matters
Pilot purgatory is expensive in a way that hides from the balance sheet. Each pilot looks cheap and each one “succeeds”, so nobody records a failure, yet the cumulative spend on demos that never ship can dwarf the cost of one system actually put into production. The deeper damage is to credibility. After the third or fourth pilot that wowed a steering committee and then vanished, the business stops believing AI will change how it works, and the next genuinely good proposal struggles to get funded. The pattern feeds itself: no production wins, so no trust, so no mandate for the unglamorous integration work that would finally produce one.
In practice
A company runs six AI pilots in a year and declares all of them a success in their final presentations. None is running in the business 12 months later, because each one needed integration, ownership and an operating budget that no one assigned. The lesson the best firms draw is to fund fewer pilots and attach a route to production before the first one even starts.
