Automate Ticket Urgency Classification with AI
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Streamline your customer support by automatically classifying ticket urgency. This workflow leverages AI to analyze incoming requests and prioritize them, ensuring critical issues receive immediate attention.
About This Workflow
This powerful n8n workflow automates the critical task of ticket urgency classification. By integrating with advanced AI models, it analyzes incoming support tickets, determines their urgency level, and ensures they are routed appropriately. The process begins with a webhook trigger, followed by text splitting and embedding for AI processing. It then leverages a vector database (Pinecone) for efficient retrieval of relevant information and a RAG (Retrieval Augmented Generation) agent to provide contextually aware classifications. The results are logged to a Google Sheet, and automated Slack alerts are triggered for any errors, providing a robust and intelligent solution for managing your support queue.
Key Features
- AI-Powered Classification: Utilizes advanced AI models for accurate and nuanced urgency assessment.
- Automated Prioritization: Ensures critical tickets are identified and addressed quickly.
- Seamless Integration: Connects with webhook triggers, vector databases, and logging tools.
- Real-time Alerts: Notifies your team of any processing errors via Slack.
- Scalable Solution: Built on n8n for flexible and efficient workflow automation.
How To Use
- Webhook Setup: Configure the "Webhook Trigger" node to receive incoming ticket data.
- AI Configuration: Set up "Text Splitter" and "Embeddings" nodes to prepare data for AI processing. Ensure your "Embeddings" node is connected to a valid API (e.g., Cohere) with credentials.
- Vector Database Integration: Configure the "Pinecone Insert" and "Pinecone Query" nodes, specifying your "ticket_urgency_classification" index and providing Pinecone API credentials.
- RAG Agent Setup: Connect the "Vector Tool," "Window Memory," and "Chat Model" nodes to your "RAG Agent." Configure the "Chat Model" with your Anthropic API credentials and define the system message for the agent.
- Logging and Alerts: Set up the "Append Sheet" node to log results to a Google Sheet (ensure "SHEET_ID" and "Log" sheet are correctly configured with Google Sheets API credentials) and the "Slack Alert" node for error notifications (configure with Slack API credentials).
Apps Used
Workflow JSON
{
"id": "8d6e1f03-e001-44b0-8e93-f88cf12630db",
"name": "Automate Ticket Urgency Classification with AI",
"nodes": 22,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 8d6e1f03-e001...
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