AI integration
AI in existing systems
Most AI initiatives stall between pilot and production. We build that stretch.
The pilot impresses in a meeting, but nobody has taken ownership of error handling, cost per call, traceability and data protection.
We start from the workflow where time saved can be measured, and build with human control wherever decisions have consequences.
How it runs
01
The workflow
We start from a flow with measurable time spent.
02
Evaluation
A small solution is measured against real data first.
03
Production
Error handling, cost ceilings and logging from the start.
04
Compliance
Data flows, storage location and disclosure duties.
What you receive
- An assessment of where AI delivers measurable value
- Integration with your systems and your data
- Measurement of quality, cost and response time
- Error handling and a fallback when the model goes quiet
- Material supporting disclosure duties and data protection
Have something in motion?
Describe the problem briefly. We reply within one working day with a first assessment, at no cost.