Why 95% of GenAI pilots fail to reach production — and what the 5% do differently

The pattern is consistent across industries: an organisation runs a successful proof of concept, secures executive sponsorship, and then watches the initiative stall for six to eighteen months before quietly being shelved. The model itself is rarely the problem.

The real blockers

Data readiness, operating model design, and governance are where AI programmes die. Most organisations underinvest in all three at the pilot stage, then discover the gaps when trying to scale.

What the 5% do differently

The organisations that successfully move AI from pilot to production treat it as an organisational change programme with a technology component — not a technology project with some change management bolted on.