AI & RAG

Incident Runbook Responder from Postmortem History

When a PagerDuty incident triggers, retrieves the most relevant past postmortems and runbooks and posts a grounded, cited mitigation brief into the incident's Slack channel.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPagerDuty incident openedPagerDutyPagerDuty
  • ActionRetrieve matching postmortems and runbooksConfluenceConfluence
  • ActionSynthesize grounded mitigation brief with citationsOpenAI
  • LogicBranch on retrieval confidence threshold
  • OutputPost brief to incident Slack channelSlack

What it does

The moment a PagerDuty incident is opened, this workflow searches your library of past postmortems and runbooks, then drops a concise, citation-backed mitigation brief into the incident's Slack war room — so the on-call engineer starts with what worked last time instead of a blank page.

When to use it

Use it when your team keeps postmortems in Confluence but nobody reads them during a live incident. Ideal for teams with recurring failure modes (cache stampedes, connection pool exhaustion, bad deploys) where the fix is already documented somewhere.

How it works

  1. 1A new PagerDuty incident fires the trigger, carrying the alert title, service, and severity.
  2. 2The incident text is embedded and matched against a Confluence space of postmortems and runbooks.
  3. 3An OpenAI step synthesizes a brief: likely cause, prior occurrences, and the first three remediation steps — strictly grounded in the retrieved docs, with links cited.
  4. 4A logic gate checks whether retrieval confidence cleared a threshold.
  5. 5The brief posts to the incident Slack channel; low-confidence cases post a 'no strong match, escalate' note instead.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PagerDutyIncidents, on-call, escalations.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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.

Run this workflow in your colony.

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