Automated Jira Ticket Management with AI Integration

This n8n workflow is designed to streamline the management of long-standing Jira issues by automating routine tasks and enhancing support team efficiency. It periodically scans for unresolved Jira tickets that are older than a week, and processes each ticket in parallel. The workflow begins with a scheduled trigger that activates daily, fetching unresolved issues. For each issue, it collects comments and metadata, then uses AI language models to classify the issue status—whether resolved, pending information, or still waiting for responses. Depending on the classification, the workflow can perform sentiment analysis on the resolution comments to gauge customer satisfaction. If the resolution is positive, it asks for reviews; if negative, it escalates the issue. The system attempts to resolve unresolved issues by searching knowledge bases or similar past issues and automatically adds comments or closes tickets as appropriate. Additionally, it can send reminders for pending responses or unanswered questions, and notify support teams via Slack for urgent or problematic cases. This automation helps reduce manual workload, speeds up issue resolution, and improves customer satisfaction by ensuring timely follow-ups and proactive issue management.