You got the AI mandate.
Nobody handed you a manual.
The strategy books talk to your CEO. The prompt books talk to your users. This is the operator's manual for the person in between, the one who actually has to make AI adoption happen.
Sources: McKinsey State of AI (88% / ~39%); the MIT NANDA report, a lab working paper rather than a peer-reviewed study, on the ~95% with no measurable P&L impact. Adoption went wide. It did not go deep. The value leaks at the operator layer, which is the seat this book equips.
“Battle-tested in production environments.”
Jared Spataro, Microsoft’s CMO for AI at Work, citing the author’s public Copilot prompt library on LinkedIn, February 2026.
You have more competence than authority, and more impatience than time.
You sit between a slide that says "we are doing AI" and a team already pasting work into a chat window. You own the gap, and there was no manual for it. So here is the work, in the order you will actually face it.
The pilot that proves nothing
You ran a pilot, but it produced a demo, not a number. You cannot defend "people seem to like it" to a CFO at renewal.
The gate that stalls you
Legal and security can stop you with one email, and you do not know what a DPIA wants or where the lawyer takes over.
The number that holds up
Licenses assigned is not adoption. Logins is not adoption. You need a unit of value that survives the room. This book builds it.
A read that becomes a toolkit.
The book teaches the thinking. The template pack does the doing. You walk into your next sponsor meeting with the artifact already drafted.
123 pages, 12 chapters across 5 parts
Roughly 35,600 words. Delivered as EPUB and PDF, so it reads on your e-reader, your phone, or your second monitor. Every chapter ends with a move you can make on Monday.
The work in order
Scope a use case, score it, charter the pilot, clear the gate, train the team, prove the number, scale what works.
4 appendices to keep
A glossary that keeps the room speaking one language, a tooling and vendor evaluation reference, a compliance and EU AI Act primer (as of June 2026), and a curated reading list.
Sourced and dated, honestly
Every stat carries a citation. Field experience is labeled "field." Where the data has no clean number, it says so instead of inventing one.
Working artifacts, not reading material
You do not retype the frameworks, you fill them in. Shipped two ways: editable Microsoft Word (.docx) with real tables and checkboxes you complete directly, and the markdown source to drop into Notion, Confluence, or any tool in your stack.
The three kinds of notes
The book flags the moves the way you will use them:
Eleven templates, each tied to the chapter that teaches it.
Read the chapter, open the template, fill it in. Appendix A maps every one to its anchor chapter and what it produces.
Chapter 2
Chapter 3
Chapter 4
Chapter 4
Chapter 5
Chapter 8
Chapter 6
Chapter 9
Chapter 9
Chapter 11
Chapter 7
Word + markdown, inside your org
Built for the operator. Not for the deck.
This is for you if
- You got the AI mandate and need a path through the work.
- You lead AI enablement and are building a program from a blank page.
- You are an IT or innovation lead who owns the pilot, the security review, and the rollout.
- You are the accidental AI lead handed the title last quarter, who would like a manual now.
Not for you if
- You are a C-suite exec who wants a vision deck. Your strategy book already exists.
- You want a list of clever prompts. Buy a prompt book; this operates one level up.
- You want theory without the work. Every chapter asks you to do something.
The honest answers
What format is it?
The EU AI Act keeps moving. Will the book go stale?
What license do I get?
Can I buy it for my whole team or site?
Open the sponsor one-pager template, and draft it before your next meeting.
- The 123-page book, EPUB and PDF
- All 11 templates in editable Word and markdown
- Free updates as the rules change
- Instant download, yours to keep
Stay curious, stay clever.