Ticket triage for Jira Service Management with Gemini AI audit and guidance

by Alejandro Scuncia ✓ · 398 views · created 2025-09-18 · Ticket Management, AI Summarization

What this workflow does

This AI workflow has 10 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Google Gemini.

How it runs

Trigger: When an HTTP POST request hits its webhook URL.

1. SET_SETUP (Edit Fields (Set)): sets 3 fields: CONF_THRESH, JIRA_AI_LABEL, domain
2. Build Payload for LLM (Code): runs custom JavaScript code
3. AI Case Triage (Google Gemini): uses Google Gemini
4. Normalize LLM Output (Code): runs custom JavaScript code
5. Build JIRA Update (Code): runs custom JavaScript code
6. JIRA Update (HTTP Request): calls an HTTP API (PUT)
7. On Update Result (Code): runs custom JavaScript code
8. JIRA Add Comment (HTTP Request): calls an HTTP API (POST)
9. Metrics Generation (Code): runs custom JavaScript code

Services it uses

Google Gemini

Before you upgrade to n8n 3.0

Nodes used (5)

• Edit Fields (Set)n8n-nodes-base.set
• Google Gemini@n8n/n8n-nodes-langchain.googleGemini
• Coden8n-nodes-base.code
• HTTP Requestn8n-nodes-base.httpRequest
• Webhookn8n-nodes-base.webhook

From the author

An extendable triage workflow that classifies severity, sets components, and posts actionable guidance for support engineers using n8n + Gemini + Cache Augmented Generation (CAG). Designed for Jira Service Management, but easily adaptable to Zendesk,…

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