Abstract
Most enterprise AI programs reach the end of their first 18 months with a backlog of pilots, a frustrated CIO, and no production system. Not because they picked the wrong models — because they skipped the readiness work that makes any model deployable. This playbook is for the board members, CIOs, and AI leaders who want to be in the 22% that ship.
Table of contents
- 01
Where most enterprise AI programs go wrong
- 02
The readiness assessment — what to score, what to ignore
- 03
Use-case prioritization: a defensible scoring rubric
- 04
Governance from day one (not after launch)
- 05
Build vs buy: a decision tree that survives the next quarter
- 06
Vendor selection — five questions procurement always misses
- 07
The first production use case — why pick the boring one
- 08
Operating cadence — what to track monthly
- 09
An 18-month rollout plan