AI-Powered Email to Jira Ticket Creation with Llama 3.2
This AI-powered workflow reads emails, understands the request using an LLM, and creates structured Jira issues. ### Key Insights - Poll for new emails every 5 minutes; ensure Gmail/IMAP is properly configured. - AI analysis requires a reliable LLM model (e.g., Chat Model or AI tool). ### Workflow Process - Trigger the workflow with the `Check for New Emails Gmail Trigger` node. - Fetch full email content using the `Fetch Full Email Content get message` node. - Analyze email content with the `Analyze Email & Extract Tasks` node using AI. - Parse the AI-generated JSON output into tasks with the `Parse JSON Output from AI` node. - Create the main Jira issue with the `Jira - Create Main Issue create: issue` node. - Split subtasks from JSON and create them with the `Split Subtasks JSON Items` and `Create Subtasks create: issue` nodes. ### Usage Guide - Import the workflow into n8n and configure Gmail and Jira credentials. - Test with a sample email to ensure ticket creation and subtask assignment. ### Prerequisites - Gmail/IMAP credentials for email polling - Jira API credentials with issue creation permissions ### Customization Options Adjust the `Analyze Email & Extract Tasks` node to refine AI task extraction or modify the polling frequency in the trigger node.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Oneclick AI Squad
- code
- jira
- wait
- gmail
- stickyNote
- gmailTrigger
- agent
- toolThink
- lmChatOllama
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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