Sarva Health
An AI agent that runs revenue-cycle work inside healthcare billing systems the way a person does, through the browser. Staff describe a task in plain English, and Sarva drives the live web app, turning each run into a reusable automation.
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What it does
The challenge
Revenue-cycle teams run the same work by hand every day inside legacy billing portals: checking claim status, posting ERAs, working collections, one login and click-path at a time. The systems have no usable API, so the work cannot be automated the normal way, and every new task means another manual playbook.
Our approach
- 1
Describe the task, watch it act
Staff type what they want in plain English, and the agent drives a live browser to do it, recording every action as an editable step rather than a black box.
- 2
Reusable blocks, composed into flows
Recorded steps become named blocks (login and MFA, claim lookup, ERA posting) that compose into larger flows, so a new automation is assembled from proven parts instead of built from scratch.
- 3
Reads the screen, decides, connects
The engine reads labeled fields and tables off the page, branches on what it finds, flags a human when it is unsure, and calls APIs and lookup tables where they exist.
- 4
Safe against real payer systems
It handles MFA and OTP login, reuses sessions, and gates write-back behind an explicit switch, so it can read and stage changes without touching a payer record by accident.
The outcome
The client's team can stand up a new health automation by describing it, with no engineering ticket and no wait. Over 40 automations now run real revenue-cycle workflows against clearinghouses and practice-management systems, from claim status to collections.
What you get
- An agent that automates work in systems with no API
- A library of reusable, composable automations
- Guardrails that keep write-back under human control
From the build
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