Jan Bosch
As we’re taking ourselves through the R&D maturity model, we’ve reached the AI supercharger stage. This is where most of the team is substituted by AI agents. The idea is that an individual, or maybe a pair of people, supported by a set of AI agents, replaces the work of one or more Agile teams. … Read more
Product development requires several different skill sets. When focusing on the software part of a product, we can recognize the problem domain, technology, infrastructure and people as four main areas of competence. For a team to be effective, it needs to understand the problem or application domain so that it can realize new functions or … Read more
Software engineering has been one of the industries most actively adopting AI. There are few, if any, companies in this discipline that aren’t looking at large language models (LLMs) in some way, shape or form. For most, however, the technology is predominantly used in the lowest step of our maturity model, ie the AI assistant. … Read more
As part of this series on the AI-driven company, we discuss three maturity models that are the primary findings of the interview study we conducted during the spring. We completed the first one, AI in the business processes of the company. Now, it’s time to dive into the second maturity model, which focuses on the … Read more
As part of this series, we look at three maturity models: AI in the product, AI in product development and AI in the business and business processes. For the latter maturity model, we’ve now reached the final stage, the AI-first organization. In many ways, this is our definition of Nirvana, where every activity in the … Read more
As the summer in Sweden is coming to an end, I thought I’d share a few summer reflections before returning to the ongoing blog post series on the AI-driven company next week. The summer for me was cycling in Denmark with my youngest son, a 2 week trip to the US and some hiking by … Read more
In the first two steps of our maturity model, we’ve discussed the individual use of AI and the AI-driven automation of individual process steps. It’s in the third step, which we’ve dubbed “local AI-first,” where things become more disruptive. Here, rather than applying AI as a bolt-on automation tool, we adopt a zero-based design approach, … Read more
As companies start to explore what AI and especially LLMs and agentic AI can do for them, the first step is what we refer to as “playtime.” The term may sound a little unserious, but the idea is that the focus is on individuals starting to use AI for personal productivity. This means that the … Read more
After discussing the challenges that companies seeking to become AI-driven experience, the aim for the second part of this series is to explore how companies evolve through the stages of transitioning from operating traditionally to becoming fully AI-driven. The best way to present our findings is in the form of maturity models, where we identify … Read more
One of the key challenges that the companies that I work with struggle with is the burden of regulatory compliance. Especially in Europe, there are numerous rules, acts and regulations to follow. One company in the automotive industry claims that they need to follow somewhere between 250 and 300 of these to sell their products … Read more
