AI Incident Response & Engineering Operations Automation
An AI-powered incident response system that automates triage, duplicate detection, runbook retrieval, issue creation, SLA monitoring, escalation, and postmortem generation.
Business Problem
Engineering teams lose valuable time manually triaging incidents, searching runbooks, opening tickets, sending alerts, monitoring unresolved issues, and documenting resolutions.
Solution
Built an automated incident lifecycle where AI classifies incidents, retrieves relevant engineering knowledge with RAG, checks system health, creates GitHub issues, monitors SLA windows, escalates unresolved incidents, and generates postmortems.
Workflow
- 01Production Incident
- 02AI Triage
- 03Duplicate Detection
- 04RAG Runbook Retrieval
- 05Service Health Check
- 06GitHub Issue Creation
- 07Alert
- 08SLA Monitoring
- 09Escalation or Resolution
- 10AI Postmortem
Key Features
- AI triage and duplicate detection for incoming incidents
- RAG-based runbook retrieval for engineering guidance
- Automated GitHub issue creation and alerting
- SLA monitoring, escalation, and AI-assisted postmortems
Tech Stack
Architecture / System Flow
n8n coordinates AI triage, RAG runbook retrieval, health checks, GitHub issue creation, alerting, SLA monitoring, and postmortem generation across connected engineering tools.