
Sauna watches the health signals, preps every QBR, drafts the check-ins, and flags the accounts going quiet — so you save the renewal before it's at risk, not after.
Sauna is an AI assistant for customer success managers that watches the whole book so you don't have to. It combines usage, tickets, and engagement to flag at-risk accounts early, preps every QBR, drives renewals and expansion, and keeps check-ins on cadence in your voice — so you save the renewal before it's at risk.
What it does
Cross-reference usage, support tickets, and engagement to flag the accounts trending toward churn, with the specific signal that triggered it.
Pull the account's usage, wins, open tickets, and goals into a ready-to-present business review deck and the talking points to go with it.
Surface the renewals coming due and the accounts ripe for an upsell, with the case for each and the outreach drafted.
Draft the regular touch to each account in your voice, grounded in their recent activity, so no one goes dark.
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.
“Pull my book and flag every account where usage dropped more than 20% this month or has an open P1 ticket — rank by renewal date, and draft a check-in to the top three.”
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
From whatever you connect — your CRM, support desk, product analytics, and usage data — combined into one read per account.
No. Sauna drafts the check-ins and renewal outreach; you decide what sends.
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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