Automation & Insights

Automation that owns the chart, not just moves data.

40+ healthcare agents fire on live FHIR triggers, do the work, and write it back, every action behind a human approval gate. Workflow Studio gives ops a visual canvas; Signal Lab lets you simulate before you ship.

40+ agents · human approval gate · explainable and audit-logged

See it work

Pick an agent. It proposes, you approve.

An agent library of ready agents alongside a run view of proposed actions awaiting approval.
Pick from a library of ready agents. Each run lands as a reviewable proposal, so nothing writes to the record unapproved.

Every agent action is proposed, explained, and logged. You decide what ships.

What it does

Build, simulate, and ship healthcare automation that acts.

Not another integration tool that moves data. Agents that read the FHIR trigger, do the work, and write the result back.

Agent Studio

Pre-built clinical agents that stream their reasoning live and act behind an approval gate.

Workflow Studio

A visual canvas with 35+ node types, including voice and AI. No code, built for clinical processes.

Analytics

Ask your data anything in plain English and get charts and recommendations, not just dashboards.

App Studio

Build clinical apps in hours, not months. Like Retool, but FHIR-native and built for healthcare.

Document AI

Upload a fax and get structured FHIR data. OCR and parsing for referrals, labs, and scans.

Signal Lab

Simulate a change against real patterns before you ship it. Know the impact first.

How it works

Trigger, act, verify. Behind your approval gate.

STEP 1

Fire on a FHIR trigger

An abnormal lab, a new referral, a rising risk score. The agent picks up the live event.

STEP 2

Do the work

Draft, route, code, or complete the task end to end, with the reasoning streamed live.

STEP 3

Write it back, verified

You approve, and the finished work is written to the chart with a full audit trail.

Get started

Put your busywork on autopilot.

IASORA does the task and updates the chart, so your team does not have to. See it run on your own data.