Blog
From the Lab for practice.
This is where the SIMOSphere AI Lab writes about what it tests: how business systems are connected to language models, how teams build AI literacy, and what AI demands of architecture and operations. Whether and how to implement is assessed with SIMO GmbH’s consultants at simo-online.com.
Topics
Three tracks through the archive.
Every topic has its own URL. You can share it, link to it, and subscribe to it, and it works with JavaScript turned off.
All posts
Newest first.
MCP Connectors
Connecting CRM and ERP to a language model in four layers
Why point-to-point integration collapses at the third data source, how an MCP service mediates instead, and the setup times we measured in completed projects.
6 min read
AI Training
AI literacy under Article 4: why a memo is not enough
Article 4 of the EU AI Act requires measures on AI literacy and was rewritten in July 2026. Which level fits which role, and what holds up as evidence.
5 min read
MCP Connectors
Building your own MCP server that survives production
When a custom MCP service is worth it, what the protocol looks like on the wire, how to describe a tool, and five rules that decide a connector’s quality.
7 min read
AI in Practice
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
AI in Practice
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
AI in Practice
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
AI in Practice
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
Consulting by SIMO GmbH
From the Lab to consulting.
SIMO does not judge options on vendor claims alone. Assumptions that can be tested technically are examined in the SIMOSphere AI Lab. SIMO GmbH works with your executive team to assess whether an approach that proves viable in the Lab makes sense for your company, and supports the implementation: independent of vendors, with a fixed scope and a decision after every phase.
Decision Readiness Check: 12 questions, about 3 minutes, instant result. Initial call: 45 minutes, free of charge, by video. Engagements begin with the BISA baseline assessment or the BEIA enterprise assessment. All on simo-online.com.