Knowledge for decision-makers who want to introduce AI systemically, not play with tools.
Clear articles on architecture, governance, rollout, and the realistic limits of AI agents.
Short answer: what is in the knowledge section?
Nine guides on AI agents in business, NIS2, the EU AI Act, GDPR questions around ChatGPT, orchestration costs and an LLM comparison — each with a short answer, deadlines and sources.
According to the Bitkom 2026 study, 41% of companies in Germany use AI, up from 17% a year earlier; another 48% are planning to.
Weekly AI live calls are now embedded across the site.
Every Saturday at 11:00 Europe/Berlin, the format gives a compact mix of market filtering, practical cases, questions, and clear next steps.
Next session: Saturday, September 12, 2026 at 11:00 · Europe/Berlin. The series then continues on a weekly rhythm.
Articles
The most useful entry points into our topic space.
What is AI orchestration?
Definition, architecture, and common misconceptions.
AI agents in business
Where agents create value and where they do not.
ChatGPT Enterprise vs. Business
A practical view on privacy, DPA, and rollout decisions.
AI agents vs. chatbots
Which systems only answer questions and which ones can carry real process work.
What does AI orchestration cost?
The cost drivers behind pilot scope, integrations, approvals, and live operation.
The EU AI Act for the mid-market
Deadlines, risk classes, and the AI literacy obligation (Art. 4) explained clearly.
Claude training (in-house, German)
Hands-on training for teams — also fulfills the AI literacy obligation under the EU AI Act.
Which LLM for companies?
Claude vs. ChatGPT vs. Gemini vs. Mistral — context, strengths, GDPR, and price compared.
Master AI: the control layer
How a master AI layer holds routing, permissions, approvals, and escalations together across agent systems.
Start potential analysis
If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.