for Enterprise · AI programmes
The AI pilot worked.
Nothing reached production.
The AI programme has a name, a budget and a steering group. It does not have an owner, and nobody has written down what success would look like.
AI readiness · Governance and risk · CTO, CIO, CRO, transformation lead
Or it never got that far
Six ways an AI programme stalls
Nobody is using it
It shipped. The training happened. The usage numbers have not moved, and nobody wants to be the one who says so.
Risk will not sign
Legal and risk have questions nobody can answer, and no one can say what would change their answer.
The data is not there
The use case assumes data that does not exist in the shape it needs. That became clear after the build started.
Everyone has their own
Four functions are each running an AI project. Nobody holds the total, the overlap, or the combined exposure.
The vendor decision
A platform is about to be chosen, and nothing defines what it has to prove before the first renewal.
Four answers at the board
The board asked what the AI strategy is. Engineering, product, risk and finance each gave a different answer.
Start from what is stuck
Find the line that sounds like you
On the record
“… He doesn't jump to solutions. He gets to the crux of the problem first, builds solid hypotheses, and does the foundational research to back them up. The rigor was real. …”
Recognise your organisation in this?
That is enough to start. You do not need a business case, a budget line or an answer to what it has to prove.
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