Classify requests
Requests are classified against defined categories; unclear or conflicting goals require clarification.
A central control layer can coordinate several workflows. A simple workflow often suffices for a well-defined process. We assess dependencies, risks and operating costs before choosing the architecture.

Master AI here means a possible control layer for task allocation and checkpoints. Permissions, logging and approvals need implementation and testing; a language model alone does not guarantee them.
Bitkom reported on 14 September 2026 that 57% of surveyed companies use AI and 38% plan or discuss adoption. The survey covered 603 companies with at least 20 employees in Germany. These figures describe the market, not the value of an individual project.
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 19, 2026 at 11:00 · Europe/Berlin. The series then continues on a weekly rhythm.
It is not there to replace thinking. It coordinates decision and process logic.
Requests are classified against defined categories; unclear or conflicting goals require clarification.
It assigns work to the right agent, system, or person.
Permissions, approvals, limits, and escalation rules apply centrally.
Outputs are checked against agreed rules. These checks reduce risk but do not guarantee error-free answers.
For business teams, usage should feel simple. In the background, the system still needs to stay disciplined.

No. It is a control layer that keeps models, agents, and workflows working together.
Yes. Start with a bounded process and compare a fixed workflow with an agentic approach. A central layer makes sense only when additional coordination justifies its overhead.
Start potential analysis
If you want to prioritize a real process, a few clear inputs are enough for a strong first assessment.