Automated AI-Powered JIRA Issue Resolver

This template helps support and engineering teams automatically manage and resolve long-lived or forgotten JIRA issues using AI. It leverages OpenAI-powered agents, sentiment analysis, and knowledgebase lookups to classify, resolve, or escalate tickets — reducing manual workload while improving customer experience.

The workflow periodically checks for unresolved issues, evaluates their state, and intelligently decides whether to:

• Autoclose with a message
• Attempt an AI-generated resolution
• Escalate negative cases
• Remind participants about pending responses

This ensures faster turnaround times, reduced backlog, and higher customer satisfaction.

Features

✅ Scheduled Automation – Daily trigger to find unresolved JIRA issues older than 7 days.
✅ Parallel Processing – Each issue runs in its own subworkflow for scalability.
✅ AI-Powered Classification – Uses LLMs to determine issue state (resolved, blocked, or unattended).
✅ Sentiment Analysis – Detects customer satisfaction before closure, escalating negative outcomes.
✅ KnowledgeBase Integration – Searches similar JIRA issues and Notion docs to provide AI-driven solutions.
✅ Smart Auto-Closure – Posts resolution or autoclose messages and closes tickets automatically.
✅ User Feedback Requests – Requests reviews on successful resolutions.
✅ Slack Notifications – Alerts teams about negative sentiment or unresolved issues.
✅ Reminders for Stalled Issues – AI-generated reminders re-engage participants when needed.