Automate Jira Issue Resolution with AI
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Streamline your Jira issue management by automating the process of closing inactive tickets and collecting feedback. Leverage the power of AI to analyze comment threads and trigger resolutions seamlessly.
About This Workflow
This n8n workflow automates the closing of stale Jira issues. It begins by triggering on a schedule, fetching all comments for an issue, and then simplifying the conversation thread for AI analysis. Using OpenAI's gpt-4o-mini model, it determines if the issue is resolved. If inactive, it adds an autoclose message, prompts for feedback with a review link, and closes the issue. If active or requiring further engagement, it can send reminders. This workflow significantly reduces manual effort in ticket management and improves the user experience by proactively closing unresolved tickets while gathering valuable feedback.
Key Features
- Scheduled Automation: Trigger issue resolution processes automatically based on a defined schedule.
- AI-Powered Analysis: Utilizes OpenAI's advanced language models to understand conversation context and determine issue resolution status.
- Automated Commenting & Closing: Posts relevant automated messages (autoclose, feedback requests) and updates issue status to 'Done'.
- Feedback Collection: Encourages user satisfaction by prompting for reviews upon issue closure.
- Intelligent Reminders: Sends automated reminders for issues requiring further attention.
How To Use
- Set up the Schedule Trigger: Configure the
Schedule Triggernode to define how often the workflow should run (e.g., daily, weekly). - Integrate Jira: Ensure your Jira account is connected via credentials in the
n8n-nodes-base.jiranodes. - Fetch Issue Comments: Use the
Get Issue Commentsnode to retrieve all comments associated with a specific Jira issue. - Simplify for AI: The
Simplify Thread For AInode processes the raw comment data into a format suitable for AI analysis, extracting key information like the topic and thread content. - AI Decision Making: Configure the
OpenAI Chat Modelnodes to analyze the simplified thread and topic. You can set up multiple OpenAI nodes to perform different analysis tasks. - Conditional Logic: Employ the
Ifnode (e.g.,Solution Found?) to branch the workflow based on the AI's assessment of the issue's resolution status or inactivity. - Automated Actions: Based on the
Ifnode's outcome, utilize Jira nodes likeAdd Autoclose Message,Ask For Feedback Message, andClose Issueto perform automated actions. - Send Reminders: If an issue requires further action, use the
Send Remindernode to notify relevant parties.
Apps Used
Workflow JSON
{
"id": "820ba6af-e135-4ae4-8d0d-145bc44cad1b",
"name": "Automate Jira Issue Resolution with AI",
"nodes": 20,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 820ba6af-e135...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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