Enterprise Reasoning Training
Programmes for leaders and practitioners, from a one-day foundation to two days of applied work.
Explore training pathways ↓Learn & Experience
This is where the ideas become practical. Learn the framework, check your understanding with the reader test, then bring a real decision of your own into the lab.
Five ways in
Go at your own pace. Read the book, take a training programme, test what you know, then try the ideas on a real decision. The Knowledge Centre will add more perspectives over time.
Programmes for leaders and practitioners, from a one-day foundation to two days of applied work.
Explore training pathways ↓The full argument, from why more intelligence isn't enough to how to build the capability that is.
Explore the book ↓18 questions drawn from all nine chapters. No account needed, and a badge if you pass.
Explore the Reader Knowledge Test ↓Describe a real decision and see what kind of reasoning it demands, before any technology is chosen.
Explore the TMC Lab ↓White papers, case studies and articles on Enterprise Reasoning.
Explore the Knowledge Centre ↓Enterprise Reasoning training
Structured learning for leaders and practitioners who want to make decisions, not technology, the starting point for AI. Choose a foundation or an applied programme, or shape an in-house programme around your team.
Every session works on an actual decision, like the supplier switch, from the Enterprise AI Paradox through Reasoning Demand to governance-by-design. The point is to apply the framework, not to learn another AI tool.
Build a shared language, learn the seven dimensions of Reasoning Demand and spot your first opportunities. Currently unavailable.
Turn what a decision demands into a first design for how it should be made, where the gaps are and how it will be governed. Currently unavailable.
On-site learning shaped around your team, your sector and the decisions that matter to you.
Read the book
Enterprise Reasoning: The Missing Capability to Become AI-Native explains why more AI intelligence doesn't automatically lead to better decisions, and sets out the capability organisations need to close that gap.
Follow the argument from the Enterprise AI Paradox through Reasoning Demand, Decision Integrity and the design of a reasoning system, to governance-by-design.
Explore the BookReader Knowledge Test
Each attempt draws a fresh set of questions from across all nine chapters. You stay anonymous throughout. If you pass, you can put your name on a badge, which is created in your browser.
Two questions from every chapter: one on a core idea, and one asking you to apply it or tell two ideas apart.
Do you know the central definitions and how the framework fits together?
Can you see how the framework changes the way you read a real decision?
Can you tell intelligence from reasoning, a decision from the authority to act on it, and governance from judgement?
Technical Lab
The TMC Lab is our technical lab. Describe a decision you face, such as whether to switch suppliers, and the lab shows you what kind of reasoning that decision demands. That tells you what capability you need before anyone picks a tool.
Start with Reasoning Demand and generate your RD profile. From there, derive the reasoning capability your decision requires (ERC*), then find the gap between what it needs and what your organisation has today.
Describe your decision, add context, and get its Reasoning Demand (RD) profile across seven dimensions.
Derive the reasoning capabilities your decision requires, based on its RD profile.
Compare what the decision requires with what your organisation can supply today, and see what to strengthen, redesign or limit.
Knowledge Centre
Research, practical examples and commentary on the decisions AI-native organisations face.
In-depth thinking on Enterprise Reasoning, decision-centred design and governance-by-design, and what they mean for an AI-native organisation.
Access our white papers →Real decisions, AI initiatives and governance challenges seen through an Enterprise Reasoning lens, with lessons from successes and failures alike.
Explore our case studies →Shorter pieces on decision-making, new AI capabilities and how the discipline is developing.
Read our articles →