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We start from a named process with a measurable baseline. If we cannot say what the current cost is, we cannot tell you whether the AI helped.
The business problem
There is enthusiasm for AI and no agreed definition of success, so a promising pilot never becomes something anyone depends on.
Pick one process, measure it, then decide how wrong an answer is allowed to be. That constraint sets the architecture.
What we build
Extraction and classification with a human review path.
Draft-and-approve, never send-without-looking.
Grounded answers over your own documents with citations.
Rules encoded, exceptions routed to a person rather than lost.
Reference architecture
Boring on purpose: one API surface, one source of truth per concept, integrations at the edge, and an audit trail from day one. Diagrams are produced per project and included in the handover pack.
Related
FAQ
A short paid discovery: we map the process, agree the architecture and produce a scoped plan you own regardless of who builds it.
Fixed for discovery and clearly bounded phases. Time and materials for ongoing product development, with a monthly cap.
You do, from the first commit, in your own repository.