Published on 28 July 2026 · 7 min read
Why 80% of AI pilots never reach production
The model is rarely the problem. What is missing is an executive owner, explicit decision criteria and a measurable business case before the first line of code.
- Strategy
- Governance
- ROI
Most organisations do not have a technology problem; they have an ownership problem. AI pilots start inside a technical team, get demoed in a meeting, and die the moment someone asks who takes on the risk, the recurring cost and the compliance burden of moving to production.
The three leak points
- No executive owner: nobody with budget and authority is accountable for the outcome.
- No success criteria: the metric to move, and the timeframe, were never agreed upfront.
- No governance path: the pilot works but cannot pass legal, security or data review.
Define these three elements before you start and the conversation changes: the pilot stops being an experiment and becomes phase one of an implementation with an owner, a budget and a decision date.
A pilot without prior decision criteria is not an experiment: it is an expensive demo.
What to do differently next cycle
Before approving any initiative, require a one-page brief: business problem, target metric, executive owner, identified regulatory risks and the date the scale-or-stop decision will be made. If that page cannot be written, the initiative is not ready to consume capital.
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