An AI agent takes over a complete workflow: it reads along, prepares, checks and reports. From a single agent on your existing Microsoft environment to a chain of collaborating agents.
Repetitive work that runs on its own, with a human at the points that matter, and numbers that support the next step.
Work that comes back every day, handled without costing your people time.
Documented agreements on what the agent does itself and what goes to a human.
Logging that lets you reconstruct afterwards what happened.
A measurement of what it delivers, so the next step is well-founded.
Classifying and routing requests.
Preparing case files.
Checking documents for completeness.
Compiling reports from multiple systems.
That kind of work costs people time without getting them anywhere. An agent takes it over, with a human at the points that matter.


Copilot, n8n, Anthropic and self-hosted LLM environments. The choice follows from your landscape and from your requirements for data and governance. For self-hosted models and for n8n we record in advance where the processing takes place, because for many clients this is contractually fixed.
For a single agent on your existing environment. A chain of collaborating agents is higher. What it comes to for you is set out in the quote after the Process Scan.

The intro call is free and always gives you something. What you do next is up to you.