AI
AI Automation
We run the automation steps that need judgement with AI.
The situation
Classic automation works on fixed rules. When incoming documents or requests arrive in a different shape each time, writing rules gets hard.
Our approach
We hand the variable part to the model. Classification and routing run on AI, and the steps after them continue on rules.
What we do
- Classifying incoming requests
- Extracting data from documents
- Automatic routing and prioritisation
- Confidence thresholds and human handover
- Tracking result accuracy
Technologies we use
Backend
- Node.js
- Python
- .NET
Database
- PostgreSQL
- Supabase
Cloud
- AWS
- Azure
AI
- OpenAI
- Gemini
How we work
Discover
A map of the current state and a prioritised list of needs.
Define
A scope document, success criteria and a schedule.
Design
A clickable interface prototype and the design system.
Develop
Working builds delivered at regular intervals.
Deploy
The live system, technical documentation and a hand-over session.
Grow
A usage report and a prioritised improvement plan.
Common questions
- What happens when the model is not confident?
- The work goes to a person. We set the confidence threshold together and anything below it goes for approval.
Other services in this area
Let's talk about this
A short call to get clear on what you need. We will tell you plainly which approach fits.
Start your project