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