Individual AI tools solve individual problems. We connect them into end-to-end, monitored workflows, so AI doesn't stay a silo but creates real value in daily operations.
- 1
- orchestration layer instead of AI silos
- 90%
- fewer manual handoffs
- 13
- years of team experience
Challenges we know well.
Disconnected AI point solutions
Your team uses several AI tools in parallel, but no one orchestrates how they work together.
Manual handoffs between systems
Results from one AI tool are manually transferred into the next system.
No unified control & no monitoring
No one has full visibility into which model makes which decision, and when.
Scaling new use cases takes too long
Every new AI use case starts from zero instead of building on what already exists.
How we approach AI orchestration.
- 01
Identify use cases
We prioritize the workflows with the greatest impact for your business.
- 02
Architecture concept
A central orchestration layer instead of scattered point solutions.
- 03
Integrate existing AI models
Connecting your current AI tools and APIs to the orchestration layer.
- 04
Build automated workflows
End-to-end process chains from input to output.
- 05
Monitoring & governance
Traceability and control over every AI decision.
- 06
Scaling
New use cases reuse the existing infrastructure.
Technologies & focus areas.
Compatible with your existing infrastructure.
Orchestrated AI workflows for quality assurance and customer communication
XEGIT connected existing AI test automation with a new orchestration layer, results now flow automatically into reporting and customer communication.
Read the case studyFrequently asked questions about AI orchestration.
Classic automation follows fixed rules. AI orchestration connects multiple AI models that make decisions independently, coordinated through central control.
For every use case, we determine which data is allowed to reach which model, and use EU-hosted or local models where necessary.
Yes, it's actually a typical starting point, since both areas share the same technical foundation.
A first production use case can often be delivered within 4–6 weeks.