20 October 2026 · 5 min read
Why most AI programmes stall at the pilot stage
Three pilots, zero production systems. Here is the pattern we see and the fix that works.
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Most organisations we meet have run at least one AI pilot. Very few have anything in production. The gap is rarely the model. It is the lack of a success metric, an owner, and a plan for the boring parts: data access, security review, and change management.
Start with the decision, not the demo
Before any build, write down the decision the pilot will inform and the number that will inform it. If you cannot, you are building a demo, not a pilot.
Budget for the last mile
Production means monitoring, evals, fallbacks and a runbook. Plan a third of the budget for this from day one.
Give it an owner with authority
Pilots run by enthusiasts fail when the enthusiast gets busy. Pilots run by someone with a budget and a target ship.