The data advantage

Over the last decade, companies have increasingly discovered that the most valuable assets they possess aren’t necessarily their products, their brands or even their intellectual property. It’s their data. Data about customers, markets, operations and competitors has become the raw material from which modern companies derive insights, predictions and, ultimately, competitive advantage. However, collecting and … Read more

User feedback as code: virtual users in AI-driven value loops

One of the defining shifts in modern software development has been the gradual automation of feedback. We no longer wait for quarterly reviews to understand performance; we instrument systems, collect telemetry, run experiments and close loops continuously. Yet, one feedback loop has remained stubbornly manual: user feedback. From a Radical and continuous value delivery perspective, … Read more

Data as infrastructure

We’ve explored how modern software-intensive companies must move beyond projects and Agile rituals toward continuous value delivery, superset platforms, data- and AI-driven learning loops and autonomous cross-functional teams. These aren’t isolated concepts, but they form a coherent operating model that I’ve coined Radical. But beneath all of them lies a deeper, more fundamental layer: data … Read more

Cross-functional teams: from autonomy to accountability

For many years, organizations have talked about cross-functional teams as a desirable end state. The idea is appealing: Bring together people with different skills, remove handovers and let teams move faster. In practice, companies struggle with creating effective cross-functional teams. The teams may be created and have the right form but fail to embrace the … Read more

The AI-driven company: conclusion

Over the last months, this series has explored the transition toward becoming an AI-driven company, with a particular focus on software-intensive systems industries such as automotive, industrial automation, telecommunications, energy and manufacturing equipment. These sectors face a unique constellation of challenges: long product lifecycles, safety-critical functions, complex supply chains, heterogeneous technology stacks and deeply embedded … Read more

The AI-driven company: super-agents

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

The AI-driven company: data challenge

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

The AI-driven company: challenges

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

The AI-driven company: introduction

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