Jan Bosch
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
Humans are the first and only species that possess reasoning capabilities beyond the most basic ones that are exhibited by other mammals. We build amazing infrastructures, put people on the moon, can talk to anyone on the planet at any point in time using phones and create advanced medication and procedures to treat people who … 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
In the second stage, which we refer to as “automation 2.0,” business process owners seek to use AI to automate individual steps in their process that they couldn’t automate with traditional approaches. Often, it means that some level of pattern matching and human-interpretable generation is required that couldn’t be achieved with traditional means. Examples mentioned … 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
