Executive Guides
Beyond the Pilot: Why Enterprise AI Stalls at 80 Percent
The gap between a working prototype and a production capability is organisational, not technical. A framework for closing it.
Most enterprises we meet have already proven that the technology works. Prototypes perform. Demonstrations impress. And yet the capability never reaches the people it was built for.
The failure is rarely technical. It sits in the space between a working system and an organisation ready to depend on it: unclear ownership, unresolved control questions, and a change agenda that was never funded.
The last twenty percent of an AI programme is almost never model work. It is decision rights, control evidence, and change capacity.
Programmes that cross this gap treat production readiness as a first-class workstream from day one. Governance evidence is produced alongside the build. Process owners are named before the first sprint. Adoption is budgeted as seriously as engineering.
The organisations pulling ahead are not the ones with better models. They are the ones that decided earlier who owns the outcome.