AI & RAG
Auto-suggest remediation when a PagerDuty incident triggers
On every new PagerDuty incident, retrieves the closest matching past postmortems and posts a suggested remediation runbook with citations directly into the incident's Slack…
How it runs
The automated pipeline, trigger to output.
- TriggerPagerDuty incident.triggered webhook firesPagerDuty
- ActionBuild query from alert and search postmortem index in PostgresPostgres
- LogicBranch on whether a confident precedent match exists
- ActionFetch matching postmortem pages from ConfluenceConfluence
- ActionDraft cited remediation suggestionOpenAI
- OutputPost suggestion into the incident's Slack channelSlack
What it does
The moment a PagerDuty incident opens, this workflow surfaces how your team fixed the most similar past incidents — turning the alert payload into a cited, ready-to-act remediation suggestion before the responder even reads the runbook.
When to use it
Use it to cut time-to-mitigation on recurring failure modes. Ideal when incidents are noisy and responders waste minutes recognizing 'we've seen this before'. The proactive push beats a chat bot you have to remember to ask.
How it works
- 1A PagerDuty incident.triggered webhook fires with the alert title, service, and summary.
- 2The workflow builds a query from the alert fields and runs semantic search against the postmortem index in Postgres.
- 3If a confident match exists, it fetches those postmortems from Confluence; otherwise it posts a 'no close precedent' note so responders don't trust a weak guess.
- 4An LLM drafts a suggested remediation with source citations.
- 5The suggestion lands in the incident's dedicated Slack channel within seconds.
Set it up
What you configure once, before turning it on.
- 1Connect PagerDutyIncidents, on-call, escalations.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect OpenAIModels, embeddings, files.
- 5Connect SlackChannels, DMs, threads, mentions.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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