Service 06 of 07
AI features and automation
Practical AI inside your product or workflow, with clear limits on what it can and cannot do.
Overview
AI features and automation cover the practical uses of language models inside a product or workflow: assistants that answer from your own documents, extraction and classification of incoming paperwork, routing and summarisation, and agents that carry out multi-step tasks under clear rules.
We start every AI engagement with a feasibility assessment, because a good share of ideas are better served by a plain rule or a database query. When a model is the right tool, we build in evaluation, cost controls and guardrails from the start, so you know how well it works and what it costs before it reaches customers.
Scope
What you get, and who it is for.
Included
- Assistants and search over your own data
- Document extraction and classification
- Workflow automation and custom agents
- Evaluation, cost control and guardrails
- An honest feasibility assessment before you commit budget
A good fit for
- Businesses drowning in documents, tickets or email
- Products adding an assistant or search over their own data
- Teams that tried a demo and now need something reliable
Common questions
Questions we usually get.
- Which models do you use?
- Whichever fits the task and your data requirements. We work with the major hosted APIs and with open models run in your own cloud when data must not leave it.
- How do you know it works?
- We build an evaluation set from real examples before shipping and run it on every change, the same way we run tests on ordinary code.
Next step
Have a project in mind?
Tell us what you are trying to build. We reply within one business day, usually with a few questions and a rough sense of scope.