Industry · Healthcare

AI assistance in healthcare software — with control you can prove.

Embed agents that respect who can see and do what, ask for approval before sensitive actions, and record every decision — while the model works from minimized references, not raw records.

How the governed layer helps

Control is the default here.

In healthcare software, an AI assistant that ignores permissions or leaves no trail is a liability, not a feature. The governed layer makes control the default: least-privilege permissions by construction, human approval before sensitive writes, and boundary enforcement that hard-blocks cross-record data mixing.

Agents read only what the clinician’s own permissions allow, and the model only ever sees minimized references and counts — never raw records. Every decision is written to an append-only audit trail that stores references, not record content.

Compliance and certification status is intentionally not claimed here — we describe the mechanisms (approval, audit, minimization, boundaries), not a compliance posture.

Every action an agent takes here runs through the same gate: least-privilege permissions, policy and an audit trail, with the sensitive steps held for human approval. The controls behind it are set out on the security and data-handling page.

Example agents & workflows

What it looks like in practice.

Illustrative examples of what a host would configure — tool ids and risk levels are the host’s to define. The primitives underneath are built and tested.

Example

Prior-authorization drafting

An agent pulls a case’s coded procedure and coverage references with read-only tools and assembles a draft; the submission step is a controlled write that stops at an approval card — no silent submission.

Example

Patient-message triage

Summarize this thread only and draft a reply; context boundaries block pulling any other patient’s record, and sending the reply is approval-gated.

Example

Care-gap cohort report

A coordinator plus metrics and visualization agents return a counts-only table and a clinic breakdown chart — scoped to the manager’s own panel, with no patient rows exposed.

See governed AI for Healthcare & health-tech.

Book a demo and we’ll tailor the walkthrough to your sector — the governance model, the two-seam integration, and an example close to your systems.