Service
AI & Automation
Practical AI: document processing, support assistants and automation that takes manual data entry off your team.
Overview
AI is useful when it removes specific work, and mostly noise otherwise. We start from the tasks that eat your team's time, such as reading invoices, answering the same customer questions, sorting records or summarising documents, and build the narrowest thing that solves them. Sometimes that is a language model integration; sometimes it is a well-designed automation and no model at all.
What is included
- Support and internal assistants
- Document and invoice extraction
- Workflow and process automation
- Natural language search over your own data
- Classification and routing
- Predictive and trend analysis
- Large language model integration
- Evaluation and monitoring of accuracy
How the work runs
- 01
Opportunity assessment
We look at where time actually goes and identify the tasks where automation pays for itself fastest.
- 02
Proof of concept
A small working prototype on your real data, so the decision to continue is based on evidence.
- 03
Development
Building the solution properly, with the prompts, retrieval and fallbacks that production use requires.
- 04
Evaluation
Measuring accuracy against a labelled set, so you know the error rate before it reaches customers.
- 05
Integration
Wiring it into the systems your team already uses, rather than adding another window to check.
- 06
Monitoring
Ongoing quality monitoring, with review and adjustment as your data and usage change.
Common questions
Do we need a large dataset to use AI?
Usually not. Many useful applications run on current language models and need no training data at all, only your documents and clear instructions. Custom models need data, and we will tell you plainly if that is the case.
Where does our data go?
That is a design decision we make with you. We can keep processing inside your own infrastructure, or use a hosted model under terms you have reviewed. Either way you know what leaves your systems before we build it.
Need ai & automation?
Describe the problem in your own words. You get a written scope, a timeline and a price before anything starts, and a straight answer if we are not the right people for it.