Service 05
AI integration
We add AI where it genuinely helps, and say so when it does not. Every feature is tested, bounded and built so a person stays in charge.
What’s included.
- Opportunity review: where AI helps and where it does not
- Assistants, search and document processing
- Workflow automation
- Evaluation and testing of model output
- Guardrails, logging and human review
- Cost and performance tuning
How we approach it.
- 01
Start with the job
We define the task and what a good answer looks like before choosing a model.
- 02
Measure it
We test against real examples, so quality is a number you can watch, not a feeling.
- 03
Keep a human in the loop
The system drafts and suggests. A person decides what matters.
Typically built with
- Claude
- OpenAI
- Retrieval
- Evaluation harnesses
- TypeScript
- Python
Questions.
Do we really need AI for this?
Sometimes a simple workflow is better. We will tell you honestly before you spend anything.
How do you handle sensitive data?
We minimise what is sent to models, choose providers to match your requirements and document where data goes.
How do you know the output is good?
We build an evaluation set from real cases and test every change against it.
Have something worth building?
Tell us what you’re imagining. We’ll tell you honestly how we’d make it.
Start a project