Complete media kit
Everything below plus author biographies and use terms, in one complete zip
MEDIA ROOM
Built for AI:
Press & Media
The AI is ready. Is your enterprise? Built for AI argues the enterprise AI value gap is a capability problem, not a technology problem, and gives leaders the framework to close it.
Press assets · Author bios · Interview topics · Approved quotes · Review copies
The story behind the book.
AI adoption is soaring. AI investment is accelerating. Enterprise returns are not.
The problem is not the technology. The AI is ready. Is your enterprise? Built for AI shows leaders how to move beyond disconnected pilots and build an enterprise that turns AI investment into measurable business value and lasting competitive advantage.
Drawing on decades of hands-on experience implementing emerging technology inside global enterprises, Punit Vir and John H. Dobbs show why the organizations that win with AI will be the ones capable of absorbing it into their strategy, their workflows, their decisions, and the way they create value.
At the center of the book is the Built for AI Framework: the enterprise capabilities that together determine Enterprise Absorption Capacity, the organization’s ability to turn AI potential into measurable business value. Around the framework is a practical working toolset: the Built for AI Strategy Canvas, the Enterprise AI Pattern Map, the Enterprise AI Profile, the Vital Few, the Judgment Boundary, and the Built for AI Readiness Diagnostic.
Intelligence can be rented by the token. Enterprise capability must be built.
Book facts
Publication: September 21, 2026
Authors: Punit Vir & John H. Dobbs
Publisher: Built for AI Press
Length: 243 pages
Figures: 36 original figures
Ebook ISBN: 979-8-9972319-9-6
Paperback ISBN: 979-8-9972319-7-2
All five edition ISBNs are in the fact sheet below.
What it delivers
Escape the pilot trap: understand why promising AI initiatives stall before enterprise scale, and fix the underlying problem instead of funding another experiment.
Invest where it builds return: fund the Vital Few initiatives with a credible path to scale and payback, and stop the ones that do not.
Redesign work, not just automate tasks: change how decisions, handoffs, and accountability flow, so AI improves the workflow, not just the activity.
Show the value: turn AI spending into results the business can measure, while making every successful implementation leave the enterprise more capable than before.
Media assets.
Public downloads, no email or account required. Permitted uses and credit requirements.
Download kit
Book cover
High-resolution front cover, 2400 x 3600 PNG
Author photos
High-resolution portraits of both authors
Fact sheet (PDF)
One page: editions, ISBNs, prices, description, contacts
Media Q&A
Eight questions with prepared answers for interviews
Framework graphic
The Built for AI Framework, the one diagram approved for editorial use
Conversations worth having.
Why does enterprise AI stall even when the technology works?
Because technical success and enterprise success are different things. AI may work perfectly while workflows, ownership, governance, data, adoption, and operating models remain unchanged.
What is Enterprise Absorption Capacity?
It is the enterprise’s ability to absorb, operationalize, and scale new AI capability into measurable business value repeatedly, not just once.
Why should leaders redesign workflows rather than simply automate tasks?
Because workflows determine how decisions, information, handoffs, exceptions, accountability, and ultimately value move through the enterprise. Making one task faster does not necessarily improve the system around it.
Who actually owns AI?
The more useful question is not where AI reports. It is who has the decision rights and accountability to fund, redesign, govern, scale, or stop AI-enabled work.
What are the Vital Few?
The small number of AI initiatives an enterprise is genuinely prepared to fund, absorb, and scale. AI creates more plausible opportunities than any organization has capacity to pursue, so concentration becomes a strategic capability.
Where should the Judgment Boundary sit between AI autonomy and human accountability?
It is the deliberate boundary between what AI may do independently, where it recommends, where it must escalate, and where human judgment and accountability remain essential.
Approved quotes.
Verbatim lines from the book, cleared for quotation with attribution.
“AI is ready for deployment long before most enterprises are ready to absorb it.”
“Intelligence can be rented by the token. Enterprise capability must be built.”
“Ownership is not where AI reports. Ownership is who can decide.”
“In the end, organizations will not be defined by the AI they deploy. They will be defined by the enterprise they become.”
Download all ten approved quotesAuthors
Punit Vir
Punit Vir is co-author of Built for AI. He served as Vice President of Global Emerging Technology at The Coca-Cola Company, leading enterprise AI initiatives and working directly with engineering and senior leadership teams at Microsoft, OpenAI, and other leading technology companies. He now advises organizations on AI and enterprise transformation.
Full biography
John H. Dobbs
John H. Dobbs is a strategy advisor, author and Managing Partner of Pragmatic Strategy Partners. He brings more than three decades of consulting experience in strategic planning, technology adoption, business and technology integration, and organizational change.
Full biographyReview copies and sample.
Read the Preface, the Introduction, and the opening of Chapter 1 in your browser. Full digital review copies are available to qualified journalists, reviewers, podcast hosts, and analysts on request.