OTHER

Sweep stale visitor check-ins, auto-checkout, and flag overdue guests

On a recurring schedule this finds visitors still marked on-site past their expected departure, auto-checks-out anyone past end-of-day.

CategoryOther
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRecurring evening schedule
  • ActionQuery overdue checked-in visitorsAirtableAirtable
  • LogicBranch: past end-time vs after building close
  • ActionAuto-checkout and update recordsAirtableAirtable
  • ActionAlert security on guests still on-siteMicrosoft Teams
  • OutputPost cleanup summary to facilitiesMicrosoft Teams

What it does

Keeps the visitor log honest. It closes out lingering check-ins automatically and surfaces the ones that need human attention, so your on-site count reflects reality and no guest is silently left unaccounted for overnight.

When to use it

Use it when guests sometimes leave without scanning out and your active-visitor list drifts. Essential for evacuation accuracy and for sites that must prove the building is empty at close.

How it works

  1. 1A scheduled trigger runs every evening (and optionally hourly during business hours).
  2. 2The flow queries Airtable for records with status `Checked in` whose expected departure has passed.
  3. 3A branch splits guests: those merely past their scheduled end time versus those still on-site after building close.
  4. 4Guests past close are auto-set to `Checked out (system)` with a note, and their hosts are notified in Teams to confirm the guest actually left.
  5. 5Any guest still flagged on-site after the close threshold triggers a security alert in the Teams operations channel with name, host, and last-seen time.
  6. 6A cleanup summary of all actions taken is posted for the facilities team.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect Microsoft TeamsChannels, chats, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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