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, Freshdesk, or ServiceNow.

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Description

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

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⚙️ How It Works

This workflow runs in 4 stages:

📥 Entry & Setup

• Webhook triggers on ticket creation
• Loads domain rules (priority policy, components, guidance templates)
• Sets confidence threshold & triage label

🧠 AI Analysis (Gemini + CAG)

• Builds structured payload with ticket + domain context
• Gemini proposes severity, component, guidance, missing info
• Output normalized for safe automation (valid JSON, conservative confidence)

🤖 Update & Audit

• Updates fields (priority, component, labels) if confidence ≥ threshold
• Posts internal audit comment with:
  • 3 next steps
  • Missing info to request
  • Justifications + confidence

📊 Metrics

• Captures applied changes, confidence scores, and API statuses
• Enables reliability tracking & continuous improvement

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🌟 Key Features

• CAG-powered guidance → lightning-fast, context-rich next steps
• Explainable automation → transparent audit comments for every decision
• Domain-driven rules → adaptable to any product or support domain
• Portable → swap JSM with Zendesk, Freshdesk, ServiceNow via HTTP nodes

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🔐 Required Credentials

| 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.

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🧰 Customization Tips

• Replace https://your-jsm-url/... with your own Jira Service Management domain.
• Update the credentials with the bot user’s API token created above.
• Swap Jira Service Management nodes with other ticketing systems like Zendesk, Freshdesk, or ServiceNow.
• Extend the domain schema (keywords, guidance_addons) to fit your product or support environment.

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🗂️ Domain Schema

This workflow uses a domain-driven schema to guide triage.
It defines:

• Components → valid areas for classification
• Priority policies & rules → how severity is determined
• Keywords → domain-specific signals (e.g., “API error”, “all users affected”)
• Guidance addons → contextual next steps for engineers
• No-workaround phrases → escalate severity if present

✨ The full domain JSON (with complete keyword & guidance mapping) is included as a sticky note inside the workflow.

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💡 Use Cases

• Automated triage for IT & support tickets
• Incident classification with outage/security detection
• Contextual guidance for engineers in customer support
• Faster escalation and routing of critical issues

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🧠 Who It’s For

• Support teams running Jira Service Management
• Platform teams automating internal ticket ops
• AI consultants prototyping practical triage workflows
• Builders exploring CAG today, RAG tomorrow

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🚀 Try It Out!

1. ⚙️ Import the Workflow in n8n (cloud or self-hosted).
2. 🔑 Add Credentials (JSM API + Gemini key).
3. ⚡ Configure Setup (confidence threshold, triage label, domain rules).
4. 🔗 Connect Webhook in JSM → issue_created → n8n webhook URL.
5. 🧪 Test with a Ticket → see auto-updates + AI audit comment.
6. 🔄 Swap the Ticketing System → adapt HTTP nodes for Zendesk, Freshdesk, or ServiceNow.

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💬 Have Feedback or Ideas? I’d Love to Hear

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.

📧 ascuncia.es@gmail.com 🔗Linkedin