Front cover of CONVERGE: From AI Curiosity to Business Reality, by Dr Paul M. Gibson
Book 1 of 3 · The Enceladus AI series

CONVERGE

From AI Curiosity to Business Reality

by Dr Paul M. Gibson

Adoption is not transformation. Usage is not value.

Read it if you are the director who has to decide where AI belongs in the business, and in what order.

Paperback · Hardback · Kindle

Publishing 7 December 2026: CONVERGE on AmazonResources for readers

About the book

Most businesses have tried AI. Fewer than four in ten can point to any effect on profit.

The problem is not the technology. It has worked for decades; what has changed is who can use it, what it can do, and how quickly. The problem is that the work was never chosen, never sequenced and never owned. Adoption is not transformation. Usage is not value.

CONVERGE is a five-phase method for closing that gap, built by running it: on a global manufacturer with eighty people in the room and 250 ideas on the wall, and in the author's own businesses, where the systems it describes are in production today. You will learn to see where AI could add value in your business and how long each opportunity takes to reach, using the Opportunity Pyramid; to decide what to buy, what to switch on in the systems you already own, what to build and what to leave alone; to sequence the work by readiness rather than enthusiasm; to understand what you are being sold; and to govern the result so that it keeps working after the consultants have gone.

It is a method, not a product pitch, and it works whichever tools you choose.

Inside the book

21 chapters in 5 parts.

  1. Part 1

    Understanding the opportunity

    1. Thirty years of AI, the same questions
    2. Why most AI pilots show no return
    3. The four levels of AI
    4. The Opportunity Pyramid
    5. Data readiness: the five positions
  2. Part 2

    The Converge Methodology

    1. Phase 1: Research and preparation
    2. Phase 2: Awareness
    3. Phase 3: Divergent and convergent discovery
    4. Phase 4: Consolidation and prioritisation
    5. Phase 5: Pilot and scale
    6. The manufacturer end to end
  3. Part 3

    Architecture and delivery

    1. Workflows before agents
    2. Systems that know when to hand off
    3. Reliability, cost and evaluation
    4. Build, buy or partner for the stack
  4. Part 4

    Governance

    1. The EU AI Act as the reference statute
    2. AI regulation around the world: the UK, the US and beyond
    3. The governance stack
  5. Part 5

    Adoption and next steps

    1. Headcount, savings and the jobs that change
    2. People, skills and shadow AI: making adoption stick
    3. The first 90 days: a plan to start on Monday

Book details

Author
Dr Paul M. Gibson
Series
The Enceladus AI series, book 1 of 3
Publisher
Enceladus AI Publishing
Publication date
7 December 2026
Paperback
ISBN 978-1-0655577-0-8
Hardback
ISBN 978-1-0655577-1-5
Kindle
ISBN 978-1-0655577-2-2
Publishing 7 December 2026: CONVERGE on Amazon
For readersResources for readersHave the book? Enter the reader code printed at the back and we'll email you the PDF edition and the other resources.Resources for readers

Also in the series

  • Book 2

    ENGINEER

    From Pilot to Production

    Ian Lawton

    How do you build AI systems that actually work?

    Publishing 7 December 2026: ENGINEER on AmazonAbout the book: ENGINEER
  • Book 3

    GOVERN

    From AI Risk to Responsible Advantage

    Dr Paul M. Gibson

    How do you manage AI safely and responsibly?

    Publishing 7 December 2026: GOVERN on AmazonAbout the book: GOVERN

All three books