IT OPS
Dormant-Seat Self-Service Keep-or-Release Poll
Weekly, it DMs each user flagged as dormant a keep-or-release prompt; non-responders after a grace window are auto-released and the result is logged to the license register.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionRead dormant seats and prompt dates from AirtableAirtable
- LogicBranch: newly flagged vs past-grace non-responder
- ActionSend Keep/Release DM to user in SlackSlack
- OutputRelease seats and update license registerAirtable
What it does
Pushes the reclaim decision to the seat holder instead of a manager. Dormant users get a direct Slack message asking if they still need the tool; anyone who actively keeps it stays, while silence past the grace window means the seat is released automatically.
When to use it
Best for self-serve tools where the user is the right judge of need and you want to scale reclamation without manager bottlenecks, while still giving people a fair chance to opt in.
How it works
- 1A weekly schedule starts the run.
- 2The flow reads dormant seats from Airtable, including the assigned user and the date they were first prompted.
- 3A logic step branches users into newly flagged (send prompt) and past-grace non-responders (release).
- 4Newly flagged users receive a Keep / Release Slack DM, and the prompt date is recorded.
- 5Past-grace non-responders have their seats released and the outcome is written back to the license register in Airtable.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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