Many books about business models are written to cover all types of businesses and assumes a blank sheet of paper. They are written for readers about to invent something new: a startup, a disruptive concept, a fresh market position. That is useful in such situations, but it does not reflect the reality most companies face.
Most businesses are already operating. They already have organisations, customers, products, channels, costs, and habits. Their challenge is not to invent a business model, but to manage the one they have. They want to understand where it no longer works well enough, and improve it. Or extend it into new markets. That is the starting point for Building Successful Business Models.
I wrote this book because I experienced the distance between the elegance of the business model framework and the messiness of applying it in real companies.
The framework offers clarity, structure, and a shared language, but once people start using it in practice, discussions often become imprecise. Definitions drift, assumptions are treated as facts, and teams move too quickly from observation to conclusion. What appears simple in theory becomes difficult when confronted with the realities of customers, markets, organisations, and commercial pressure. That experience led to a simple conclusion: the framework is valuable, but it requires a firm hand applying it to help companies manage reality rather than merely describe it.
Why B2B Software Needs a Different Approach
This book is about applying Alexander Osterwalder’s business model framework in B2B software companies. Its industry focus moves beyond general principles and concentrate on the issues that are specific to how B2B software businesses create value and generate revenue.
B2B software is bought through structured decisions involving multiple stakeholders, formal business cases, implementation effort, switching costs, and a high degree of organisational friction. Even when the product is strong, demand can remain weak if customers do not feel sufficient urgency to act. That is why the book places so much emphasis on identifying compelling events, understanding customer behaviour, break adoption barriers, and the learn the difference between the theoretical and effective markets.
One of the central ideas in the book is that demand for B2B software is rarely continuous. Customers do not enter a buying process simply because a product offers apparent benefits or because a problem can be articulated. They act when something creates urgency.
Sometimes that urgency is internal: a breakdown, a missed target, a leadership change, or a process that has become intolerable.
Sometimes it is external: a regulatory shift, a technological change, or broader industry pressure that affects many companies at once.
This distinction matters because it has direct consequences for scalability. If demand depends only on isolated internal triggers, revenue becomes harder to predict and more expensive to generate. If external triggers are present, an entire segment may move simultaneously, making focused growth far more achievable.
Who the Book Is Written For
The book is written for anyone working in a B2B software company. That includes people in product development, sales, marketing, customer success, operations, and leadership. The reason is simple: a business model is not an abstract diagram hanging on a wall. It is the logic that connects what the company promises to the market with what it must actually do to deliver on that promise and get paid.
When people across the organisation do not share the same understanding of customer segments, value propositions, channels, key activities, dependencies, and ambitions, execution becomes fragmented. Functions optimise locally, misunderstand one another, and move in different directions. The book is meant to create a shared language and a more disciplined way of thinking, enabling better decisions across roles.
From Framework to Practical Work
That shared language matters because the challenge is not the theory itself, but its application. My purpose is not only to explain the model, but to help the reader use it in a B2B software context. By narrowing the focus to that industry, we can concentrate on the issues that are truly critical there.
The canvas alone is never enough. A company can define its value proposition beautifully and still fail because it has misunderstood the market conditions that shape customer buying decisions. This is true of any business. The point here is that the framework must be applied in a B2B software context, where customer behaviour, competitive dynamics, substitutes, technology shifts, regulation, and macroeconomic conditions create a distinct set of practical challenges.
The book therefore treats the business model canvas and the business model environment as two parts of the same system. One describes how the company operates. The other describes the conditions within which it must operate. The real work lies in aligning the two.
For that reason, the book is designed as a practical guide to a structured workshop process. It does not stop at explanation. Its purpose is to help the reader use the model in a B2B software setting, and to focus attention on the issues that are critical in that context. The sequence is simple: establish a shared understanding of the language, analyse the external reality, and then refine the business model itself.
This workshop-based approach reflects how organisations actually learn: not through reading alone, but through disciplined discussion, evidence, clarification, disagreement, and synthesis. I wanted the book to be something a leadership team, a facilitator, or an internal transformation group could use to do real work.
Why Documentation and AI Matter
Another reason I wrote the book is that too many workshops create temporary excitement and very little usable output. Insights disappear into memory. Assumptions are not documented. New hires cannot access the thinking. Teams repeat the same conversations months later because nothing was captured in a way that could be reused.
The book argues that documentation is not a by-product; it is a core output. It then explores how AI can improve the quality and speed of documentation and analysis, but only when the workshop itself is structured with discipline. AI cannot rescue vague thinking. It can, however, amplify clear thinking, help identify contradictions, surface missing information, and support repeated cycles of analysis, action, and learning. That matters because business model work is never finished. It is an ongoing management discipline.
What the Reader Gets Out of It
The reader learns how to use the framework to fix problems, capture opportunities, and improve business performance. Instead of treating it as a tool for invention alone, the book turns it into a tool for diagnosis, alignment, and improvement. The reader also gets a practical lens for understanding revenue generation in B2B software: why sales cycles stall, why some markets do not convert as expected, why strong products do not automatically create demand, and why doing nothing is often the most dangerous competitor.
The book offers a clearer way to think about customer segments and value propositions. It insists on specificity: real buying situations, real problems, real triggers, real barriers, and real economic impact. That discipline moves discussion away from generic market descriptions and towards commercial reality. At the same time, it helps readers assess alignment across the organisation by connecting front office and back office, strategy and operations, ambition and capability. It shows whether the chosen market, go-to-market model, revenue logic, activities, resources, and cost structure actually fit together.
Finally, the book provides a calibration tool. No strategy framework can decide what the company, or the individual behind it, truly wants. Growth, profitability, scale, outside investment, managerial complexity, and personal risk are not merely analytical questions. They are human ones. Better analysis cannot decide for you, but it can make the consequences more visible. It can help owners and managers understand what it will take, the trade-offs they are making, and whether the path ahead aligns with their ambitions and values.
That is ultimately why I wrote Building Successful Business Models: not to add another layer of strategy language, but to make the existing language more useful; not to celebrate abstraction, but to improve execution; and not to help companies imagine a perfect future from scratch, but to help them understand the business they already have and make it work better.
The book will be released in Q4-2026.
