CUSTOMER SUPPORT

Escalate repeat-complaint accounts to Slack and open a Linear issue

When an account logs its third negative Intercom conversation inside 30 days, an agent confirms the pattern, posts a war-room alert to Slack.

CategoryCustomer Support
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNegative conversation loggedIntercomIntercom
  • LogicCount negatives in 30-day window (>=3)
  • ActionAgent summarizes recurring root causeOpenAI
  • ActionPost war-room alert to SlackSlack
  • OutputOpen Linear issue for root causeLinearLinear

What it does

One bad ticket is noise; three in a month is a pattern. This workflow detects when the same account has accumulated multiple negative support conversations in a rolling 30-day window, has an agent summarize the through-line across them, then escalates both to people (Slack) and to engineering (Linear) so the root cause actually gets owned.

When to use it

Use it when isolated complaints are handled fine but recurring frustration from a single account goes unnoticed until they cancel. Best for high-value accounts where compounding friction predicts churn.

How it works

  1. 1A new negative-conversation event triggers the workflow for an account.
  2. 2A logic step counts that account's negative conversations in the trailing 30 days and proceeds only at three or more.
  3. 3A Paperclip agent reads the conversation set, identifies the common recurring issue, and writes a concise root-cause summary.
  4. 4It posts a churn war-room alert to the customer-success Slack channel tagging the account owner.
  5. 5It opens a Linear issue with the summary and links so engineering can track the underlying fix.

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 SlackChannels, DMs, threads, mentions.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  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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