Answers questions
A conversational interface over a model, sometimes with access to documents. It is useful for retrieval and drafting, and it stops there. It holds no authority, keeps no durable state, and takes no action — every consequence still runs through a person doing the work by hand.
Nothing changes in your systems unless someone changes it.
Completes one job
A system that owns a defined task end to end: triaging an inbox, extracting terms from a contract, qualifying an inbound lead. It uses tools, follows a known procedure, and can be evaluated against real examples because the job has a definition of done.
It is excellent within its boundary and blind immediately outside it.
Runs the operation
A shared substrate that many agents work inside. It holds the organisation's context, coordinates the software already in use, routes decisions to the right person, and records what happened. Capability accumulates instead of resetting at the edge of each task.
This is what most operationally complex organisations actually need.
Email, documents, databases, APIs, CRM systems, and internal tools.
The system reads from where work already lives, rather than asking people to move it somewhere new.
Classification, extraction, retrieval, reasoning, and evaluation.
Turning unstructured information into something structured enough to act on — and checking the result before it is used.
Drafting, updating records, routing work, communicating, and generating decisions or recommendations.
Work that changes the state of the business, scoped to what the system has been authorised to do.
Permissions, approval gates, audit logs, cost controls, quality measurements, and human feedback.
The layer that makes the rest safe to run in production, and legible when someone asks what happened.
A workspace where employees can review outputs, approve actions, and understand what the AI system is doing.
Oversight is only real if the person doing it can see enough to exercise judgement.
Healthcare and clinical research. Financial services. Commercial real estate. Recruiting. Professional services. Operationally complex small businesses.
We map the workflow as it actually runs — the exceptions, the handoffs, the judgement calls, and the systems of record involved.
We build against your real data and real examples, narrowly enough to learn quickly and honestly.
The system runs alongside your team and proposes work without executing it. You see exactly what it would have done before it does anything.
Authority is extended gradually, with permissions, approval gates, and audit logs in place from the first day it acts.
Quality is measured continuously against real outcomes, and structured feedback becomes the input to the next iteration.
The most useful first conversation is a specific one. What work is being done today, by whom, in which systems — and where it breaks down.
One of the founders reads your message and replies directly. If there is a fit, the next step is a discovery conversation — not a pitch deck.