AI in Practice
AI in practice on the blog.
What changes in architecture and daily work once AI is used in earnest.
What this topic covers
AI proves itself in a workflow that used to take three days and in an architecture that carries it for the long run, not in a spec sheet. The posts under this topic cover orchestration, deployment options, sovereignty, and industry views.
You will not find client names here. No reference has given us written clearance, and a description that fits only one company is a name by other means. The use cases therefore give size bands and sectors instead.
How this was tested in the Lab is shown in the field reports.
Go to the field reportsPosts on this topic 4 posts
Sovereign AI is not a seal: Four questions decide it
Where computation happens, who holds the keys, who can be legally compelled, and whether you can get back out: four questions on sovereign AI and what it costs.
5 min read
We are not a software vendor: when custom software pays off
Four tests decide whether building your own software makes sense. In most cases at least one of them fails, and that is a good outcome.
5 min read
Midsize companies: orchestrate AI instead of stacking tools
Everyone who experimented with AI in 2025 is now sitting on half a dozen disconnected tools. What orchestration means, which three patterns cover most of the work, and where adoption really breaks down.
6 min read
The digital twin in construction: from building to company
Construction made the digital twin what it is, first as a BIM model, then as a live picture of operations. What carries over to a whole company, and where orchestration actually begins.
9 min read