AI integration in your applications
From measured prototype to production
Add an AI feature to your application or your processes, with measured quality, capped costs and human oversight.
Which needs it covers
- Automatically extract information from documents
- Draft replies for your teams
- Classify or summarise incoming requests
Compare packages
Choose the package that matches your situation. You can adjust it with us.
Package: Production release
What is not included
- High-impact automatic decisions without human validation
- Model providers' usage costs, recharged at cost or billed in your name
What we need from you
- Real examples to evaluate quality
- A target application or process
The steps
- 1.Use case
- 2.Prototype
- 3.Evaluation
- 4.Integration
- 5.Monitoring
After delivery
Quality and costs continue to be measured. Adjustments are offered as part of maintenance.
What affects the quote
- Complexity of the task
- Call volume
- Level of oversight
How we work
Our approach
A prototype measured on a sample of your data (pseudonymised by default), a decision based on the results, then a production release with guardrails.
How we deliver
- Model usage billed to your accounts
- Spending caps and alerts
- Human approval of sensitive actions
A typical AI integration
Select an element to see what it does.