AI AGENTS

Demo No-Show Reschedule Agent

When a booked post-show demo is marked a no-show, an agent emails a personalized rebooking link and offers concrete new slots from the rep's calendar.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDemo event marked no-showGoogle CalendarGoogle Calendar
  • ActionPull prospect context from CRMAttio
  • ActionFind next open calendar slotsGoogle CalendarGoogle Calendar
  • ActionSend personalized reschedule emailGmailGmail
  • ActionUpdate CRM reschedule statusAttio
  • OutputAlert rep in SlackSlack

What it does

Recovers demos that fall through after a trade show. When a calendar event is marked as a no-show, the agent drafts a warm, personalized reschedule email referencing what the prospect saw at the booth, offers two or three real open slots from the rep's calendar, and updates the CRM so the opportunity stays alive.

When to use it

Use it after a show when booth-booked demos start no-showing, which is common when meetings are set hastily on the floor. Best when you want recovery to be instant and personal rather than a generic blast.

How it works

  1. 1A calendar event status change to no-show triggers the workflow.
  2. 2The agent pulls the prospect's CRM record for booth context and prior notes.
  3. 3It reads the rep's calendar to find the next few genuinely open slots.
  4. 4A personalized reschedule email with those slots is sent via Gmail.
  5. 5The CRM record is updated with a 'reschedule-sent' status and timestamp.
  6. 6The rep is pinged in Slack so they can follow up by phone if the lead is high value.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Google CalendarEvents, attendees, availability.
  2. 2
    Connect AttioReal-time CRM with structured data + powerful views.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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