Block 1 - SET_SETUP
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
This workflow is provided as-is. Please review and test before using in production.
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 Jir...
n8n-nodes-base.set, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.webhook, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Alejandro Scuncia.
Original n8n.io sourceAn 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, Freshdesk, or ServiceNow.
Support teams loose valuable time when tickets are misclassified: wrong severity, missing components, unclear scope. Engineers end up re-routing issues and chasing missing info instead of solving real problems.
This workflow automates triage by combining domain rules with AI-driven classification and guidance, so engineers receive better-prepared tickets.
It includes:
✅ Real-time ticket capture via webhook
✅ AI triage for severity and component
✅ CAG-powered guidance: 3 next steps + missing info
✅ Internal audit comment with justifications & confidence
✅ Structured metrics for reporting
This workflow runs in 4 stages:
📥 Entry & Setup
🧠 AI Analysis (Gemini + CAG)
🤖 Update & Audit
📊 Metrics
| Tool | Use |
|---|---|
| Jira Service Management | Ticketing system (API + comments) |
| Google Gemini/Gemma | LLM analysis |
| HTTP Basic Auth | For Jira API requests (bot user) |
⚠️ Setup tip: create a dedicated bot user in Jira Service Management with an API token.
This ensures clean audit logs, proper permissions, and avoids mixing automation with human accounts.
https://your-jsm-url/... with your own Jira Service Management domain. keywords, guidance_addons) to fit your product or support environment.This workflow uses a domain-driven schema to guide triage.
It defines:
✨ The full domain JSON (with complete keyword & guidance mapping) is included as a sticky note inside the workflow.
issue_created → n8n webhook URL. This project is open, modular, and evolving. If you try it, adapt it, or extend it, I’d love to hear your feedback — let’s improve it together in the n8n builder community.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Ticket triage for Jira Service Management with Gemini AI audit and guidance |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Ticket Management, AI Summarization |
| Author | Alejandro Scuncia |
| Published | 18 Sept 2025 |
Use the JSON export at /data/workflows/8713/8713.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 Jir...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.