Grounded retrieval
Answers drawn from approved documents with citations on every claim, hybrid search across a real corpus, and a refusal path when no source supports the question.
01 · OperateAutonomous operations
Run the recurring work.Keep the authority.
The work that repeats — retrieval, triage, reconciliation, response — handed to systems that execute it under supervision, inside the permissions and records the organization already runs on.
The position
Automation is not the hard part. Trust is.
Any organization can put a model in front of its staff. Far fewer can say what it read, why it answered, who was entitled to ask, and what happens when it is wrong. That gap is the entire engagement.
Operating principle
Autonomous execution, human authority. A system that runs the work without a supervising record is not an asset — it is an exposure nobody has priced yet.
Grounded in your dataCitation-boundRefuses to guessPermission-aware
Where deployments stall
Four failures, in the order they arrive.
None of these are model problems. They are engineering problems, and they appear in the same sequence in almost every estate we are called into.
01
It is fluent, confident, and wrong
Ungrounded generation over internal data produces plausible unsourced answers. The correction is retrieval with citations and an acceptable refusal, not a longer instruction.
02
It crosses a boundary nobody noticed
One shared index means anyone who can ask can reach anything indexed. Access control belongs at retrieval, inheriting rules that already exist.
03
It worked on ten documents
A curated pilot corpus behaves nothing like the real estate: duplicates, scans, superseded versions, contradictions. That gap is closed with chunking, hybrid search and reranking, not a better model.
04
Nobody can tell whether it degraded
Without evaluation every change is a guess and every regression is discovered by whoever it damages first.
What we build
The operating layer, not a chat window.
Wired into the data, permissions and systems already in use — not a separate product somebody has to remember to open.
Agents that act
Tool-using agents wired into operational systems — records, ledgers, internal APIs. Multi-step execution with human authority retained at the consequential steps.
Inherited permissions
Retrieval enforces the access rules the host system already holds. An agent cannot surface a document the person asking was never entitled to open.
Private deployment
Open-weight models on infrastructure you control, where data residency or provider exposure is the binding constraint rather than a preference.
Evaluation harness
A test set with expected behavior, run on every change. Without it, nobody can distinguish an improvement from a regression that has not surfaced yet.
Observable at every step
Every retrieval, tool call and override recorded and attributable. Autonomy without a record is not autonomy — it is an unmonitored process.
The rest of the mandate
Three disciplines. One operating layer.
Which process would you hand over first?
Bring the one that consumes the most hours and has the clearest correct answer. That is where autonomy earns its position, and where a failure is cheap to observe.