CRM

Flag churn-risk accounts from repeated Intercom friction and create Attio tasks

When an Intercom conversation closes, the workflow checks whether the account has now hit a threshold of repeated friction.

CategoryCRM
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation closedIntercomIntercom
  • ActionClassify friction theme with LLMOpenAI
  • ActionRead account friction history from AttioAttio
  • LogicCheck repeated-friction threshold
  • ActionUpdate risk status on Attio companyAttio
  • OutputCreate owner follow-up task in AttioAttio

What it does

This workflow turns recurring support pain into a CRM action. On each closed Intercom conversation it classifies the friction theme, looks at the account's recent friction history in Attio, and when an account crosses a repeated-friction threshold it bumps the account's risk status and creates a follow-up task assigned to the owner.

When to use it

Run this when you want repeated frustration to trigger proactive outreach instead of waiting for a renewal conversation to go badly. Built for CS teams managing books of accounts who need churn signals surfaced as concrete tasks.

How it works

  1. 1An Intercom conversation closes and triggers the run.
  2. 2The workflow classifies the conversation's friction theme with an LLM.
  3. 3It reads the matched Attio company's recent friction entries and tallies them.
  4. 4A logic branch checks whether the account now exceeds the repeated-friction threshold; if not, the run ends.
  5. 5For at-risk accounts it updates the company's risk-status field in Attio.
  6. 6It creates an Attio task for the account owner with the themes and links to the conversations.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AttioReal-time CRM with structured data + powerful views.
  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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