Skip to content

Assess Align Accelerate

Your data isn’t broken. Your operating model is.

The book names the reason most AI initiatives stall: the technology scales whatever clarity — or confusion — already exists inside your organization. This is where you find out which one you’re feeding it.

Get the book on Amazon

High model intelligence + low organizational fit = Scaled confusion at machine speed.

AI doesn’t fail on its own. It inherits the ambiguity already buried in how your business operates — unclear ownership, conflicting definitions, hidden variation. Fix the operating model first, and the same technology becomes a multiplier instead of a liability.

The Method

Three moves, in order. Each one earns the next.

definitions clashSalesNo clear ownerOnlineNo clear ownerFulfilmentNo clear ownerFinanceNo clear ownerLeadership3 numbersorder = signed dealorder = invoiceorder = shipmentorder = paid cart
Illustrative example: five places where work happens, and the handoffs between them.
  1. 01/ ASSESS

    See the terrain honestly

    Where the organization actually stands, what AI changes about the stakes, and what leadership hasn’t been willing to look at yet.

  2. 02/ ALIGN

    Move in lockstep

    Structure, meaning, and ownership pulling in one direction. The longest phase, because it’s where the real decisions get made.

  3. 03/ ACCELERATE

    Clarity becomes performance

    Execution at machine speed without losing the wheel. AI moves from isolated pilot to enterprise capability.

7 Questions 5 Minutes

The AI-Readiness Scorecard

Pulled directly from the book’s diagnostic framework. Score your organization honestly — the goal isn’t a high number, it’s an accurate one. Run it again with your leadership team; the variance between your answers is often more revealing than the average.

0 of 7 answered

Score out of 350

Q1 7

Can your leadership team explain the operating structure of the company on one page?

Q2 7

Do core business concepts — customer, order, revenue, margin, performance — mean the same thing across the enterprise?

Q3 7

Can every critical data domain be linked to a named business owner with real decision authority?

Q4 7

In your last several leadership meetings, did you spend more time deciding or reconciling?

Q5 7

Is local variation across markets or units visible, intentional, and governed?

Q6 7

Does your governance reduce ambiguity, or does it mostly add process?

Q7 7

Can your AI initiatives be traced back to a clear business decision, context, and accountable owner?

Answer all 7 to see your result.

The Book

Book cover: Your data isn't broken. Your operating model is.

A leadership book about AI at scale.

Written for leaders of large, complex enterprises, this is a book about AI at scale — AI woven into how the organization decides and operates, not AI as a personal productivity tool. Its premise is simple and uncomfortable: AI doesn’t break your data, it exposes your operating model — your definitions, your ownership, the way decisions actually get made — and then scales whatever it finds. Feed it clarity and it compounds your advantage; feed it confusion and it scales that just as fast. The fix isn’t more technology — it’s a leadership method: Assess · Align · Accelerate.

The Authors

Two complementary lenses. One method.

Adam Ayres headshot

Adam Ayres

The Operator

Has spent his career at the top tier of corporate leadership. Brings the execution lens that keeps the method out of the IT department — and the discipline to ask which decisions can never be delegated to a dashboard.

Behrang Karimi headshot

Behrang Karimi

The Architect

Bridges the commercial side that creates value and the data layer that records it. With a background in economics and computer science, he architected the Operating Tree and the structural framework at the heart of the book.

“The defining challenge of our time is not a technology problem; it is a test of organizational clarity and leadership courage.”
Behrang Karimi Adam Ayres