AI and data
We help teams explore practical uses for their data and documents. We start with a small, clearly defined task and test whether automation or AI improves it before proposing a larger system.
Many requests for “AI” turn out to be requests for better organised information, which is often cheaper to solve. We help you work out which it is, then test the smallest useful version on real cases from your business before anyone commits to a bigger build.
We agree how data will be handled before selecting a model or provider, including storage, access and retention settings. Any sector-specific requirements are identified during scoping and agreed with your responsible advisers before implementation.
What this can include
- Reports and dashboards from existing data
- Document summarising and extraction
- Search across your own files and notes
- Small forecasting and classification tasks
- Assessing whether AI helps before building
- Clear data-handling agreements
About ai and data.
How is our data handled?
We agree how data will be handled before selecting a model or provider, including storage, access and retention settings, and write it down.
What would you like to make easier?
Tell us a little about your business and the problem you want to solve. We’ll get back to you to discuss what makes sense.