AI & RAG

Webhook Alert Auto-Remediation Gated by Runbook Steps

Receives any monitoring webhook, looks up the matching runbook, and if the runbook marks the remediation as auto-safe, executes the documented shell command.

CategoryAI & RAG
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonitoring system POSTs alert to webhookHTTP webhook
  • ActionRetrieve runbook + remediation metadata from ConfluenceConfluenceConfluence
  • LogicBranch on runbook's auto-safe remediation flag
  • ActionExecute documented command via Shell when auto-safeShell
  • OutputElse post cited steps to Slack for approvalSlack

What it does

Closes the loop from alert to fix, but only within the bounds your docs allow. A webhook delivers an alert; the agent retrieves the matching runbook from Confluence and reads whether the remediation is flagged auto-safe. If yes, it runs the exact documented shell command. If not, it posts the cited manual steps to Slack and waits for a human. Every path traces back to a runbook step.

When to use it

Use it for high-volume, well-understood alerts where a fraction of remediations are safe to automate and the rest still need eyes. Ideal when you want automation strictly governed by what the runbook explicitly sanctions.

How it works

  1. 1A monitoring system POSTs an alert to the webhook trigger.
  2. 2The agent retrieves the matching runbook and its remediation metadata from Confluence.
  3. 3A logic branch reads the auto-safe flag in the runbook.
  4. 4If auto-safe, it executes the exact documented command via Shell.
  5. 5Otherwise it posts the cited steps to Slack for human approval.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect ShellRun sandboxed commands inside the workspace.
  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.

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