Overview
This workflow automates the assignment of support tickets by integrating Jira, Supabase, and OpenAI's language models. It uses scheduled triggers to process incoming tickets, analyze their content, and intelligently assign them to the most suitable team members.
Key Features
- AI-Powered Ticket Analysis: Utilizes OpenAI embeddings and chat models to understand ticket context and urgency.
- Similarity Matching: Employs Supabase vector stores to find similar past issues, improving assignment accuracy.
- Automated Assignment: Integrates with Jira to automatically assign tickets based on AI recommendations and historical data.
- Scalable Processing: Handles large volumes of tickets efficiently with recursive text splitting and batch processing.
Benefits
- Reduced Manual Effort: Eliminates the need for manual ticket triage, saving significant time for support teams.
- Improved Accuracy: AI-driven matching ensures tickets are routed to the right experts, enhancing resolution speed.
- Seamless Integration: Connects Jira and Supabase for a unified support workflow, minimizing context switching.
Use Cases
- Automated triage and assignment of IT or customer support tickets.
- Enhancing helpdesk efficiency in organizations using Jira.
- Leveraging historical ticket data for smarter support operations.
