This n8n workflow automates the process of managing long-standing Jira issues by leveraging AI capabilities to classify, analyze, and resolve tickets efficiently. It begins with a scheduled trigger that daily scans Jira for unresolved issues older than seven days. Each issue is handled in parallel via subworkflows, where the full comment history is fetched and automated analysis is performed.
The workflow includes nodes that classify the current state of the issue—whether it’s resolved, pending, or waiting for response—using AI text classifiers. Based on this classification, sentiment analysis evaluates customer satisfaction, prompting escalation or closure accordingly. If unresolved, the system attempts to auto-resolve by searching relevant knowledge bases or similar past issues, posting solutions, and closing the ticket. It also sends automated reminders to re-engage stakeholders or notify Slack channels about pending issues.
This setup helps support teams minimize manual oversight, prioritize critical issues, improve response times, and enhance customer satisfaction through intelligent automation, making it ideal for organizations seeking proactive issue management and support excellence.
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