Automated Jira Ticket Triage and Enhancement
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Streamline your Jira workflow with intelligent automation. This solution automatically fetches open tickets, enhances them with AI-powered labeling, prioritization, and summary rewriting, and updates your Jira instance.
About This Workflow
This n8n workflow revolutionizes Jira ticket management by introducing intelligent automation. It begins by scheduling a trigger to fetch open tickets from your Jira project. These tickets are then processed by an AI model (OpenAI) to automatically assign relevant labels, determine a priority level, and rewrite the summary and description for clarity and conciseness. The workflow then updates the original Jira ticket with this enriched information. Additionally, it seeks out similar resolved issues to provide context, helping your team make informed decisions and resolve tickets faster.
Key Features
- Scheduled Ticket Fetching: Automatically retrieves open Jira tickets at defined intervals.
- AI-Powered Triage: Utilizes OpenAI to classify, label, and prioritize tickets.
- Intelligent Rewriting: Enhances ticket summaries and descriptions for clarity and factual accuracy.
- Automatic Jira Updates: Seamlessly applies labels, priority, and rewritten content back to Jira.
- Contextual Issue Discovery: Identifies similar resolved tickets for better decision-making.
How To Use
- Schedule Trigger: Configure the
Schedule Triggernode to run the workflow at your desired frequency (e.g., every minute, every hour). - Get Open Tickets: Set up the
Get Open Ticketsnode with your Jira credentials and the JQL query to specify the project and status of tickets to be fetched (e.g.,Project = 'SUPPORT' AND status = 'To Do'). - Simplify Ticket: This node automatically extracts key information from the fetched Jira tickets into a more manageable format.
- Label, Prioritize & Rewrite: Configure the
Label, Prioritize & Rewritenode by connecting it to theSimplify Ticketnode. Define your custom AI prompt within themessagesparameter, instructing the AI on how to label, prioritize, and rewrite the ticket content. - OpenAI Chat Model: Ensure your OpenAI credentials are set up correctly for the
OpenAI Chat Modelnode. - Structured Output Parser: Configure the
Structured Output Parsernode to define the expected output schema from the AI (e.g.,labels,priority,summary,description). - Update Labels, Priority and Description: Connect this node to the output of the
Structured Output Parser. Provide your Jira credentials and map the AI-generated labels, priority, and description to the corresponding Jira fields. The original description is appended for reference. - Get Recent Similar Issues Resolved: Configure the
Get Recent Similar Issues Resolvednode. Its JQL dynamically uses the labels generated by the AI to find relevant past issues. - Loop Over Items: Use the
Loop Over Itemsnode to process each resolved issue found in the previous step individually.
Apps Used
Workflow JSON
{
"id": "86accfac-662f-4e6e-bfb1-e5ecb791a180",
"name": "Automated Jira Ticket Triage and Enhancement",
"nodes": 16,
"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: 86accfac-662f...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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