The AI agent for production supervisors

Sauna reads shift output, downtime logs, and the schedule, drafts shift handoff reports, flags missed targets, opens maintenance and action tickets, and chases the open items — sourced from your data and held for approval.

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What it does

What Sauna does for production supervisors

01
Write the shift handoff
Reads the shift's output and downtime from Google Sheets and drafts a handoff report covering production against plan, issues, and open actions.
02
Flag missed targets
Compares actual output against the schedule and drafts a Slack alert naming the lines that missed and the downtime that caused it.
03
Open the tickets
Turns each maintenance call-out and safety observation into a tracked issue in Jira with line, priority, and owner.
04
Track attendance gaps
Drafts a staffing summary from the shift roster, flagging where the line is short and which jobs need coverage.

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In context

Ask in chat. It does the work.

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.

app.sauna.ai/sauna

You

@Sauna Write tonight's shift handoff from the output sheet — production vs plan, top three downtime reasons, and open actions — and open Jira tickets for the two breakdowns.

Sauna

Reading Google Sheets and Jira.

Done — here's the draft and what I found. Approve to send.

Try it

Ask in plain words

The literal prompt for this job. Open it in Sauna and it picks up from there.

“Write tonight's shift handoff from the output sheet — production vs plan, top three downtime reasons, and open actions — and open Jira tickets for the two breakdowns.”

Example promptRun in Sauna →

Plugs into the tools you already run — and thousands more, or any MCP server.

Google Sheets Jira Slack Outlook

Good to know

Questions, answered.

Will it post the handoff without me?

No. It drafts the shift handoff and the maintenance tickets from your output and downtime data, but you review before it posts to the next shift or opens in Jira.

How does it know what caused the downtime?

It reads your downtime log and reports the reasons you recorded — it doesn't guess. If a code is missing, it flags the gap rather than inventing a cause.