AI Applications & Integrations
Two kinds of work that turn out to be the same work: getting a model to do something useful, and getting your systems to talk to each other.
Document and data capture
Invoices, delivery notes, statements, contracts. Extraction, classification, matching, and routing the exceptions to a human instead of pretending there won't be any.
Assistants over your own data
Question answering and drafting against documents and records that are yours, with the boring parts done properly: access control, audit trail, and a sensible answer when the model doesn't know.
Integration
The connective work between systems that never had an API, or have one that doesn't cover what you need. Usually the unglamorous half of the project and usually the half that decides whether it works.
We build these to be operated, not demoed: accuracy measured, correction rates visible, costs tracked, and a plan for the day the model underneath changes.