In the field

Scenarios.

What does this actually look like in your business? A few stories, pulled from work we've shipped and patterns we see repeatedly, to show where this kind of system pays for itself.

01Healthcare· Patient agent

First-line patient triage, around the clock.

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Anatomy / Patient agent with grounded knowledge and human escalation

02Operations· Document pipeline

Invoices, contracts, POs, into a queryable store.

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Anatomy / Document ingestion with validation and audit trail

03Internal· Knowledge copilot

Answers from your own files, with citations.

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Anatomy / Retrieval-augmented copilot grounded in permissioned sources

04Commerce· Anomaly detection

Catch the price you forgot to update.

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Anatomy / Continuous statistical scan over a live catalogue

Built in by default

Safeguards we build in by default. Drawn from years of operating production ML at scale, not from a checklist.

Agents see what they need to do the job. Never your whole stack. Scoped credentials, sandboxed tools, and separation between read and write.

Got something annoying that should be automated?
Let's have a quiet chat about it.