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.
How it runs
The automated pipeline, trigger to output.
- TriggerIntercom SLA breachedIntercom
- ActionRetrieve conversation timeline + metadataIntercom
- LogicReconstruct queue depth + availability; classify root cause
- ActionWrite root-cause summary to Notion incident logNotion
- OutputFile follow-up task in Linear for support leadLinear
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
- 1An Intercom SLA-breach event triggers the flow.
- 2The agent retrieves the conversation timeline and metadata from Intercom.
- 3It reconstructs queue depth and agent availability at the breach moment.
- 4The agent reasons over the evidence to classify the root cause and recommend a fix.
- 5It writes a structured root-cause summary to the Notion incident log.
- 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.
- 1Connect IntercomConversations, contacts, articles.
- 2Connect NotionPages, databases, comments.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Customer Support workflows
Send a tailored Loom onboarding sequence on Front first-reply
When a new customer's first email lands in Front, this picks the Loom onboarding walkthroughs matching their plan and use case, builds a friendly sequenced reply.
Suggest the right Loom video by classifying Intercom message intent
Reads each new inbound Intercom conversation, classifies what the customer is trying to do, and surfaces the best-matching Loom walkthrough to the agent as an internal note.
Draft personalized fix-live replies for support to review
When a Sentry issue resolves, an agent reads each linked ticket's full thread and drafts a tailored 'your fix is live' reply per requester.
Close the loop with requesters when a Linear bug moves to Done
When a Linear issue created from a support escalation moves to Done after deploy, look up the originating Zendesk tickets and notify each requester that their reported bug is…
Reopen and notify Front conversations when their bug fix deploys
When a deploy resolves a Sentry issue, find the snoozed or closed Front conversations linked to it, reopen them, and send the customer a reply that the fix is now live.
Tell Intercom users their reported bug shipped after a Vercel deploy
On a successful Vercel production deployment, match the release's resolved Sentry issues to Intercom conversations and message each affected user that their reported issue is…
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
