AI agent development
Agents that do real work in production, with a human review queue between the model and anything that matters.
Book an intro callWhat an agent has to survive
A demo agent has to be impressive once. A production agent has to be right every time, on input nobody cleaned, while a person downstream signs their name to the output.
So we build agents the same way either side of that line: the model proposes, the system decides. Every step an agent takes is checked against the rules it was given before it becomes a record anyone can act on.
How we build them
One workflow at a time: ingestion, extraction, validation against the rules, a human review queue, then output. Nothing skips the queue because it looked confident.
Low-confidence extractions are routed to a person rather than guessed. The vocabulary an agent is allowed to use is fixed in advance, so an unexpected value is an exception to review, not a silent write.
Permissions fail closed. An agent's credentials are scoped so that the actions it cannot be trusted with are actions it structurally cannot take.
What you get
A running workflow, the evidence chain behind it — who, when, which source, what changed, who approved — and the review queue your team actually works in.
We also audit agents other companies already run, and we test agents before they touch money. Those are the same muscle seen from a different side.
All four kinds of work sit on one spine — see how we work.