CRM

Tag Intercom Conversations as Expansion or Risk Signals in Attio

Classifies each closed Intercom support conversation as an expansion opportunity, churn risk, or neutral.

CategoryCRM
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation closedIntercomIntercom
  • ActionFetch full conversation threadIntercomIntercom
  • ActionClassify intent: expansion / risk / neutralOpenAI
  • LogicDrop neutral or low-confidence results
  • ActionMatch company by domain in AttioAttio
  • OutputWrite intent verdict + rationale to Attio recordAttio

What it does

Every time a support conversation closes in Intercom, this workflow reads the full transcript and decides whether the customer is showing buying intent (asking about higher tiers, seat counts, new use cases), churn risk (frustration, cancellation language, repeated failures), or neither. The verdict, a confidence score, and a one-line rationale are written back to the company's record in Attio so revenue and CS teams see signal where they already work.

When to use it

Use it when support volume is too high to triage by hand and your CRM has no visibility into what customers actually say. Ideal for CS and RevOps teams running expansion and retention motions off Attio.

How it works

  1. 1An Intercom conversation closes and fires the trigger with the conversation ID.
  2. 2The full message thread is pulled from Intercom, including tags and the assigned teammate.
  3. 3An LLM classifies the thread into expansion / risk / neutral with a confidence score and rationale.
  4. 4A branch drops neutral, low-confidence results so the CRM only gets meaningful signal.
  5. 5The matching company in Attio is found by domain and its intent fields are updated.
  6. 6The structured verdict is confirmed on the Attio record as the final output.

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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