CUSTOMER SUPPORT

SLA-breach root-cause investigator agent

When an SLA is breached in Intercom, an agent gathers the conversation timeline, queue conditions, and agent availability at the time, writes a root-cause summary to Notion.

CategoryCustomer Support
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom SLA breachedIntercomIntercom
  • ActionRetrieve conversation timeline + metadataIntercomIntercom
  • LogicReconstruct queue depth + availability; classify root cause
  • ActionWrite root-cause summary to Notion incident logNotionNotion
  • OutputFile follow-up task in Linear for support leadLinearLinear

What it does

This workflow runs an autonomous post-mortem on every SLA miss. When Intercom marks a conversation as breached, an agent reconstructs what happened — the full reply timeline, how deep the queue was at the moment of breach, and which agents were available — reasons about whether it was a staffing, routing, or complexity failure, and publishes a written root-cause analysis. It then files a follow-up task so the gap gets closed, not just logged.

When to use it

Use it when you want continuous improvement on SLA performance rather than just alerting, and your team needs a documented record of why each breach occurred. It is the learning loop behind the predictive routing workflows.

How it works

  1. 1An Intercom SLA-breach event triggers the flow.
  2. 2The agent retrieves the conversation timeline and metadata from Intercom.
  3. 3It reconstructs queue depth and agent availability at the breach moment.
  4. 4The agent reasons over the evidence to classify the root cause and recommend a fix.
  5. 5It writes a structured root-cause summary to the Notion incident log.
  6. 6It opens a Linear task assigning the recommended follow-up to the support lead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.