Adding AI features such as summarising, classification and writing assistance to existing applications.
When is it useful?
AI does not fit every task. Used in the wrong place, it adds cost and uncertainty.
How it is approached
The places where AI genuinely helps are identified first. The feature is then added as part of the existing application, in a measured and reviewable way.
What we can build
- Identifying suitable use cases
- Adding AI features to an existing application
- Summarising, classification and writing assistance
- Output review and cost control
A practical example
Classifying incoming customer requests automatically and routing them to the right person.
Each project is assessed on its own terms. We agree on the scope, delivery milestones and support needs after discussing your situation.
Technologies used
For technical decision makers: tools often used for this service. The choice is made per project.
- LLM API
- ASP.NET Core
- React
- Python