Automate Support Ticket Triage and Resolution with JIRA and AI

This n8n workflow automates the triaging of newly opened support tickets in JIRA, leveraging AI for intelligent classification and initial resolution attempts. A scheduled trigger fetches unseen open tickets from the queue. An AI agent then analyzes each ticket to assign labels, set priority based on issue severity, and simplify the description for better human readability.

Next, the workflow searches for similar resolved issues using tags, analyzes their comments, and summarizes key resolution facts. These summaries provide context for the AI to generate a tailored fix suggestion, which can be applied directly or reviewed by support staff. This reduces manual effort in high-volume support environments.

Benefits include faster ticket processing, improved accuracy in prioritization, and proactive resolutions, saving hours daily for support teams. Ideal for organizations handling large support volumes, such as SaaS companies or customer service ops. Customize by swapping JIRA for Linear, adjusting schedules, or integrating RAG with a knowledge base.

Requirements: JIRA instance and OpenAI API. Activate after connecting credentials to watch for new tickets.