AI that explains rather than replaces.
Challenges
AI only unleashes its value if companies get their house in order first.
Typical stumbling blocks:
- Knowledge is unstructured, scattered, or “only in people’s heads.”
- Decision-making logic is inconsistent or undocumented.
- Data sources are unstable, unclear, or uncontrolled.
- Each department understands AI differently.
- IT bears responsibility that actually belongs to top management.
- Data protection, IT security, and the EU AI Act loom in the background like silent reminders.
- And the constant question: “How do we remain sovereign—without tool dependencies?”
Without structure, AI becomes a black box—and in the end, no one really trusts black boxes.
Our Approach
Our ADA (Application Design Assistant) analyzes requirements, processes, dependencies, code, and documentation —
and makes related knowledge visible and controllable.
This means that AI does not become a black box, but rather an amplifier of existing expertise.
Concrete Effects
- Up to 50% time savings in analysis, documentation, and approval processes
- Explainable, auditable decisions instead of opaque models
- Foundation for true process automation in manufacturing and engineering
AI only works if structure exists beforehand. Together, we create this structure.
Would you like to learn more about our solutions and services?
We look forward to meeting you!
Cornelia Kapl
Managing Director