AI & RAG

Incident Runbook Walkthrough Agent via Webhook

Given an active incident, retrieves the matching runbook and returns a step-by-step remediation walkthrough with citations, then posts a status thread to Microsoft Teams.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives incident summary and serviceHTTP webhook
  • ActionRetrieve service-scoped runbook stepsPostgreSQLPostgres
  • LogicIf no runbook found, return explicit notice
  • ActionAssemble ordered cited remediation walkthroughOpenAI
  • OutputPost walkthrough thread to Microsoft TeamsMicrosoft Teams

What it does

During an incident, an operator (or an alerting system) sends the incident details to a webhook and gets back an ordered remediation plan drawn strictly from the relevant Confluence and Drive runbook. Each step carries a citation so responders can verify the source, and the plan is posted to a Teams channel as a living incident thread.

When to use it

Use it when severity-1 response depends on a runbook nobody can find fast under pressure. It collapses 'which doc, which section' into one grounded, cited checklist and broadcasts it where the response team is already coordinating.

How it works

  1. 1An HTTP webhook receives the incident summary and affected service.
  2. 2The summary is embedded and matched against the runbook index in Postgres, scoped to the affected service.
  3. 3A logic gate confirms a runbook exists; if not, it returns an explicit 'no runbook on file' response.
  4. 4OpenAI assembles an ordered remediation walkthrough constrained to the retrieved steps, each with a citation.
  5. 5The walkthrough is posted to the incident's Microsoft Teams channel as a threaded message.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect ConfluenceSpaces, pages, blueprints.
  5. 5
    Connect Microsoft TeamsChannels, chats, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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