Our books
Three books on making AI work in business.
Written by our directors, the Enceladus AI series covers how to decide where AI pays, how to build AI systems that hold up in production, and how to govern them safely. Each book stands on its own; read together, they take you from the first idea to a system you can rely on.
Plan. Build. Govern.
01 · Plan
CONVERGE
From AI Curiosity to Business Reality
“Adoption is not transformation. Usage is not value.”
Why so many AI projects show no return, and a five-phase method for changing that: finding where AI could add value across a business, choosing what to do about each opportunity, and putting the work in the order the business is ready for. Written from running it in practice rather than from theory, and it works whichever tools you choose.
You'll come away able to:
- See where AI could add value in your business, and how long each opportunity takes to reach.
- Decide what to buy, what to switch on in the systems you already own, what to build and what to leave alone.
- Put the work in order by readiness rather than enthusiasm, and understand what you're being sold.
- Start with a plan for your first 90 days.
Read it if you're the director who has to decide where AI belongs in the business, and in what order.
Related service: AI consultancy
Publishing 7 December 2026More about the book
02 · Build
ENGINEER
From Pilot to Production
“The pilot worked. Then it met real customers, real data and real edge cases, and it stopped working.”
The distance between a demonstration and an AI system a business can rely on. Written by an engineer for engineers, architects and the directors who sign these systems off, it runs from what's inside the models to the patterns, architectures and checks that keep a system working once real customers and real data arrive.
You'll come away able to:
- Know when a predictable workflow beats an autonomous agent, and when a language model is the wrong tool.
- Get retrieval, tools and confidence-based hand-offs to people right.
- Test a system properly before you scale it, and secure systems that read the outside world.
- Take a system through the gates from pilot to production, and hand it over to the business.
Read it if you're the IT lead, head of engineering, or a technically minded director who has to commission, build or sign off an AI system.
Related service: AI development and implementation
Publishing 7 December 2026More about the book
03 · Govern
GOVERN
From AI Risk to Responsible Advantage
“Govern the use, not the technology.”
A practical guide to governing AI in a business of any size. It starts from the most common frustration, that the tools are blocked, shows why a ban only pushes people onto personal accounts the business can't see, and sets out how to control the use of AI instead.
You'll come away able to:
- Know what each kind of AI account (personal, team or enterprise) decides about who can see your data.
- Write an AI policy people will actually read, with a clear rule for what may go into which tool.
- Understand what the law asks of a business using AI in the UK, the EU and beyond, and what to check in licences and contracts.
- Set up the governance a mid-sized business needs, in a quarter.
Read it if you're the director accountable for risk, the person who has to write the AI policy, or the board that approves it.
Related service: AI governance and assurance
Publishing 7 December 2026More about the book
Published by Enceladus AI Publishing.