Jan Bosch
Jan Bosch 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
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
There’s an insightful quote from Upton Sinclair: “It’s difficult to get a man to understand something when his salary depends on his not understanding it.” In the interview study we’re in the midst of as I’m writing this, I’ve frequently thought of this quote. It seems that people simply don’t understand that their job, or … Read more
When interviewing the people for our study on industrial AI adoption, it became clear that some or even many especially view LLMs and multi-model models as a mechanism to leapfrog inherent weaknesses in their company. One of the key areas is data. I keep getting surprised by how poorly many companies deal with their data. … Read more
Thanks to fantastic amounts of investment and an ‘arms race’ between companies and between countries and regions, the progress in artificial intelligence has been phenomenal. Every day, a new model or new capability is announced somewhere on the globe. Although I could imagine an AI bubble bursting like the internet bubble did in 2000, the … Read more
Both the proponents and questioning antagonists around artificial intelligence are expounding on the outrageous capabilities of modern AI solutions such as LLMs, foundation models and agentic AI. And yet, when interviewing key business leaders and observing the companies I work with, I must say that the adoption of AI is slow going and far from … Read more
With new breakthrough models being announced all the time and hundreds of billions invested, the hype around artificial intelligence seems to keep going much longer than any other major technology I’ve experienced in my lifetime. The promise (and to some extent the threat) of AI is that it will provide new levels of automation and … Read more
