# AIReady — Your data isn't broken. Your operating model is. > The landing page for the book *Your data isn't broken. Your operating model is.* by > Behrang Karimi and Adam Ayres, and home of the free AI-Readiness Scorecard — a > 7-question diagnostic that scores how prepared an enterprise operating model is for AI. The book's core argument: AI at scale does not break your data or expose a gap in your software stack — it exposes the **operating model** underneath (definitions, ownership, how decisions get made) and then scales whatever it finds. Feed it clarity and it compounds your advantage; feed it confusion and it scales the confusion at machine speed. The remedy is a leadership method in three ordered moves: **Assess → Align → Accelerate**. ## Key facts - **Book title:** Your data isn't broken. Your operating model is. - **Subtitle:** How to Stop Scaling Confusion and Turn Enterprise AI into a Strategic Advantage - **Format:** Kindle eBook (Amazon), 99 pages, English - **Published:** 2 July 2026 - **ASIN:** B0H7CGV7K5 (no ISBN — Kindle edition) - **Authors:** Behrang Karimi (the architect of the Operating Tree framework), Adam Ayres (corporate leadership / execution lens) - **Buy the book:** https://www.amazon.com/dp/B0H7CGV7K5 - **Website:** https://aiready.win/ - **Audience:** leaders of large, complex enterprises deploying AI at scale (not personal-productivity AI) - **Free tool:** the AI-Readiness Scorecard — 7 questions, ~5 minutes, scored 1/3/5 per question out of 35, scored in the visitor's browser (an identified result is only sent to the authors if the visitor explicitly opts in; otherwise only anonymous usage statistics are collected) - **Score bands:** 29–35 Strong Foundation · 17–28 Fragile Middle State · 7–16 Clarity Problem - **Method:** Assess (see the terrain honestly) → Align (move in lockstep) → Accelerate (clarity becomes performance) - **Key concept:** the *Operating Tree* — a business construct that standardizes how operating units, transactions, and accountability are defined and related - **Other key concepts:** scaled confusion at machine speed · organizational fit · the diagnostic mirror · the Clarity Test · standardize what must be shared (and nothing more) · meaning, not machinery · ownership as a leadership role · the Hub-and-Spoke enterprise · governance without bureaucracy · the ninety-day reset · six conditions to scale AI - **Structure:** Introduction · Part One, define the era (ch. 1–3) · Assess (ch. 4–7) · Align (ch. 8–14) · Accelerate (ch. 15–18) · two case studies and the cost of doing nothing (ch. 19–21) · Conclusion · Appendix with the scored scorecard ## Links - [Full content in Markdown](https://aiready.win/llms-full.txt): the complete page text — all 7 diagnostic questions with their scoring rubric and explanations, the three score bands and how to read them, the method, and the author bios — plus, for the book itself: an overview and structure, a summary of every chapter (Introduction, Chapters 1–21, Conclusion), a glossary of key concepts, short attributed quotations, and a FAQ - [The book on Amazon](https://www.amazon.com/dp/B0H7CGV7K5) - [Sitemap](https://aiready.win/sitemap.xml) - [Behrang Karimi on LinkedIn](https://www.linkedin.com/in/behrang-k-0288981/) - [Adam Ayres on LinkedIn](https://www.linkedin.com/in/adam-ayres-canada/) ## Optional - The scorecard is a mirror, not a maturity model: the goal is an accurate score, not a high one. Run it with a leadership team — the variance between answers is often more revealing than the average. - The site is a single static page; there is no sign-up, no email gate, and no backend.