Streamline Incident Triage with AI in Microsoft 365
Streamline Incident Triage with AI in Microsoft 365
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Streamline Incident Triage with AI in Microsoft 365
Stop letting manual incident triage slow down your response time. This n8n workflow transforms chaotic Microsoft 365 incident reports into structured, actionable Jira tickets with AI-powered analysis, automated routing, and instant team notifications.
What this workflow does
The workflow operates in four synchronized stages to eliminate manual incident processing bottlenecks:
- Reliable ingestion: Webhook triggers return 202 Accepted immediately, preventing source system timeouts and duplicate retries while AI processes incoming data
- Validation & security: Verifies webhook signatures, sanitizes input to block prompt injection, and maintains a 1,000-event rolling window in staticData to prevent duplicate tickets
- AI-powered analysis: GPT-4o-mini analyzes unstructured reports to extract titles, assign P1-P4 severity levels, identify affected systems, generate root cause hypotheses, and recommend next steps
- Orchestrated response: Creates structured Jira incidents with mapped priorities, triggers PagerDuty escalation for P1/P2 incidents, and posts Adaptive Cards to Microsoft Teams with clear summaries
Use cases
- DevOps teams managing high-volume incident reports from Microsoft 365 environments
- IT operations requiring consistent incident classification and priority assignment
- Organizations needing automated escalation workflows for critical system failures
- Teams seeking to reduce mean time to resolution (MTTR) through faster initial triage
Technical details
Built with proven n8n nodes including webhook triggers, conditional logic (if nodes), custom code processing, Jira integration for ticket creation, PagerDuty connectivity for escalations, and Microsoft Teams notifications. The Parse & Enrich node provides graceful error handling, falling back to "Manual Review" state when AI output is malformed.
Perfect for automation engineers and SaaS operators who need reliable, scalable incident management that turns raw alerts into actionable engineering tasks.
