CHATBOTS

Intercom Concierge: Book a Setup Call When a User Is Blocked

Detects when an onboarding user is stuck or frustrated after a doc answer, offers open onboarding-call slots from a shared calendar.

CategoryChatbots
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew reply in active onboarding threadIntercomIntercom
  • LogicDetect blocked/frustrated signals
  • ActionFetch open onboarding slotsGoogle CalendarGoogle Calendar
  • ActionOffer slots in the Intercom threadIntercomIntercom
  • ActionCreate the calendar event with contextGoogle CalendarGoogle Calendar
  • OutputConfirm the booking in the conversationIntercomIntercom

What it does

Monitors active onboarding conversations for signals that a user is blocked, repeating themselves, or frustrated. Instead of looping with more doc links, it pulls real open slots from your onboarding calendar, offers them in-thread, and books the call the user picks.

When to use it

When self-serve answers are not enough and a user clearly needs a human walkthrough. This catches the moment a chat is going sideways and converts it into a booked onboarding call before the user churns out of frustration.

How it works

  1. 1A new reply in an active Intercom onboarding thread fires the trigger.
  2. 2Branch logic checks for blocked signals: repeated questions, error reports, or explicit "can someone help" intent.
  3. 3If not blocked, the run ends and self-serve continues.
  4. 4If blocked, the agent queries Google Calendar for the next available onboarding slots.
  5. 5It posts the open times into the Intercom thread and waits for the user to choose.
  6. 6On selection, it creates the calendar event with the conversation summary in the description.
  7. 7It confirms the booking back 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
    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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