Reader's sample
From Demo to Production
The Enterprise AI Supply Chain for Governed Systems That Decide, Act, and Learn
A practical handbook for carrying AI from a plausible answer to a governed decision, authorized action, verified outcome, and a better next case.
INSIDE THE SAMPLE
The shortest path into the book's argument.
A curated opening, the strongest production alpha, and the complete conclusion - enough to test the ideas against real work.
- 01
The complete Introduction
Why personal AI becomes a multiplayer operating problem inside the enterprise.
- 02
Chapter 1
Why a correct answer can still live inside a failed workflow.
- 03
Six production-alpha excerpts
Connected loops, harnesses, evals, correction capital, routing economics, and earned authority.
- 04
The complete Conclusion
Why the future organization is a learning enterprise, not one company brain.
- 05
A ten-minute Production Test
A practical test you can apply immediately to one real workflow.
THE CENTRAL ARGUMENT
The enterprise advantage is not the model.
It is the organization-owned system around the model that finishes consequential work, constrains authority, proves outcomes, and turns corrections into tested institutional capability.
WRITTEN FOR THE PEOPLE WHO MUST MAKE AI WORK
Read the sample. Then test one workflow.
- CIOs and technology leaders
- Operating executives and workflow owners
- Builders moving agents into governed production
This reader's sample may be circulated intact for review and discussion.