CHATBOTS

Intercom bot handles after-hours demo requests with next-business-day booking

When a demo request comes in outside business hours, the bot acknowledges instantly in Intercom, offers the next available business-day Zoom slots from Google Calendar.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDemo request arrives in IntercomIntercomIntercom
  • LogicCheck current time against business hours
  • ActionAcknowledge and fetch next-business-day calendar slotsGoogle CalendarGoogle Calendar
  • ActionBook calendar event and create Zoom meeting on pickZoomZoom
  • OutputConfirm time and Zoom link inline in IntercomIntercomIntercom

What it does

Keeps after-hours demo interest from going cold. When someone asks for a demo while your team is offline, the bot replies right away, explains a human is out but they can still grab a time, and books a real Zoom slot on the next business day from your live calendar.

When to use it

Use this when off-hours and weekend demo requests sit unanswered until morning and prospects lose interest. It is for teams with global or evening traffic who want booking to work around the clock.

How it works

  1. 1A demo request arrives in the Intercom Messenger and triggers the flow.
  2. 2A logic step checks the current time against your business hours.
  3. 3If within hours, it hands off to a live rep and stops; if after hours, it continues.
  4. 4The bot acknowledges in chat and queries Google Calendar for the next business-day open slots.
  5. 5The visitor picks a slot; the flow books the calendar event and creates the Zoom meeting.
  6. 6It confirms the time and Zoom link inline in the Intercom conversation.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect Google CalendarEvents, attendees, availability.
  3. 3
    Connect ZoomMeetings, recordings, transcripts.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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