
Sauna works the denials, chases the unpaid claims, and drafts the appeals — keeping your aging report shrinking instead of you re-keying the same rejection codes all week.
Sauna is an AI assistant for medical billers that keeps the aging report shrinking. It reads and explains denials, chases unpaid claims by payer, drafts corrections and appeal letters in your standard format, and runs a recurring AR snapshot — so you fight the rejections instead of re-keying them.
What it does
Read a remittance or denial, explain the reason code in plain English, and draft the correction or the appeal with the supporting detail.
Surface the claims sitting past 30, 60, and 90 days, group them by payer, and draft the follow-up for each batch.
Turn a denied claim and its documentation into a first-draft appeal letter in your standard format, ready for your review.
A recurring read of collections, denials by reason, and the aging buckets, delivered to the office on the schedule you set.
Put Sauna to work on this.
Get started for freeIn context
Sauna shows up where you already work — the web app, Slack, email, iMessage, and Superhuman. It reads what it needs, does the task, and comes back with the draft for your approval.
Try it
The literal prompt for this job. Open it in Sauna and it picks up from there.
“Look at this batch of denials, group them by reason code, explain each in plain English, and draft a corrected claim or an appeal letter for the ones we can fight.”
Plugs into the tools you already run — and thousands more, or any MCP server.
What you get
Reports, drafts, and dashboards Sauna assembles from your live tools — kept current on its own.
Get the result, not the busywork.
Get started for freeGood to know
No. Sauna reads the denials, drafts the corrections and appeals, and groups the aging; submitting waits for your approval.
It reads only what you connect, for only the billing work you ask, and acts only after you approve. Your data is yours, not training data.
Sauna reads only what you connect, and acts only after you approve. Your workspace and its memory are yours, not training data.
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