Book and platform

Almost everyone has access to AI. Few make it count.

The AI Lab Method is the practical way to put artificial intelligence to real use in a company: responsibly, with judgement, and so that efficiency turns into genuine effectiveness.

Free. Foreword, introduction, chapter 1 and every tool at a glance, as a PDF straight to your inbox.

Impressive in the demo. Hard in practice.

Almost everyone has tried AI. Few bring it into regular use, and fewer still get real value from it. The dividing line does not run between those with access and those without, but between casual and serious use. That is the gap the method closes.

The Applied AI operating system

Five building blocks, none of which works on its own: from permission, through your own lab, out to the whole organisation.

The roof
05
Adoption
Turns individual use into a shared practice and anchors AI in the work.
The workshop
02
AI Lab
The internal product function: turns business problems into usable AI tools.
builds
The rooms
03
Workflow support tools
The concrete form of daily work: recurring processes become checkable tools.
use
The walls
04
Capabilities
People who use AI with judgement: they brief, check, improve and classify.
The foundation
01
Governance
The permitted space: rules for tools, data, risks, approvals and review.

Governance creates the space · the AI Lab builds · the tools work daily · capabilities enable · adoption anchors it all.

The platform

A workspace, not a folder of PDFs.

The book explains the method. The platform makes it usable: as a library, an assistant and a working surface for every step, from the first governance check to the roll-out across the organisation.

45
tools in the library
10
formats, from matrix to canvas
3
guided self-checks with scoring
2
languages: English and German

The whole book, always at hand

Foreword to afterword in the reader: searchable, with every figure, on any device.

Presentations

Slides for every chapter, ready for the board meeting, the workshop and your own team.

45 tools

Matrices, guides, registers, checklists and canvases covering governance, the AI Lab, capabilities and the business functions.

Guided self-checks

Governance quick check, five-capabilities assessment and AI Lab maturity: answer the questions, get a scored result with context.

Scoring boards

Rate use cases by value and feasibility and prioritise your own pipeline, right in the browser.

Canvas assistant

Describe your case in your own words. The assistant fills in the canvas, and you carry on working on the content.

Method chatbot

Put your questions to the whole book. The chatbot answers from within the method and points you to the relevant chapters.

Stays current

Model landscape, market movements and a changelog: the platform is kept up to date while the models change.

MCP server

Connect the method to your own AI and apply it directly to your tasks and your data.

A look inside

This is what working with the platform looks like. Every view is available in English and German, in light and dark mode.

The reader: the whole book, searchable and with every figure.The reader: the whole book, searchable and with every figure.
The reader: the whole book, searchable and with every figure.
The library: 45 tools, organised by question and category.The library: 45 tools, organised by question and category.
The library: 45 tools, organised by question and category.
Self-checks with scoring: the result with advice per dimension.Self-checks with scoring: the result with advice per dimension.
Self-checks with scoring: the result with advice per dimension.
Every tool with its purpose, the moment to use it and the right working form.Every tool with its purpose, the moment to use it and the right working form.
Every tool with its purpose, the moment to use it and the right working form.
Presentations for every chapter, ready for the board meeting.Presentations for every chapter, ready for the board meeting.
Presentations for every chapter, ready for the board meeting.
'Current': model landscape, market movements and changelog, kept up to date.'Current': model landscape, market movements and changelog, kept up to date.
'Current': model landscape, market movements and changelog, kept up to date.

MCP

Put the method inside your own AI.

Connect the platform to your own chatbot over MCP and apply the method directly to your tasks, your data and your environment. No other business book can do that. MCP access is included in every membership and set up in a few minutes: your assistant loads the tools as fillable templates, searches the book and retrieves the checklists.

The book

Applied AI: The AI Lab Method. The complete path in one volume, written for professionals and leadership teams building AI capacity in their own company.

In the book

  • Foreword, introduction, 20 chapters in six parts, outlook and afterword
  • Around 40,000 words, one running real-world case
  • 30 figures and infographics
  • In print and as an e-book, €49

With the book

  • The most important tools as a PDF pack to download
  • The book price counts towards the platform's annual licence
  • The sample is free in advance via the waitlist

Built for one year. Priced plainly.

Building AI capacity is a project with a beginning and a goal. The core of the offer is therefore an annual licence: €690 for twelve months of full access, with an invoice for your company. Team and company licences are available too.

About the author

Martin Breitsprecher is an independent AI adviser who guides organisations across Europe from strategy through to productive operation. For over twenty years he has worked on complex technology projects, with a focus on the difficult transition between leadership, governance and delivery, the 'messy middle'.

His clients include EU institutions, international funders and organisations in consulting, knowledge work and healthcare, whom he advises on AI strategy, operating models, governance and EU AI Act compliance. He lives in Hamburg and works across Europe.

Be there when the platform launches.

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