AI-powered email to Jira ticket creation with Llama 3.2

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 conf...

Best for

Project Management automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.gmail, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolthink, @n8n/n8n-nodes-langchain.lmchatollama, n8n-nodes-base.code, n8n-nodes-base.stickynote, n8n-nodes-base.gmailtrigger, n8n-nodes-base.jira

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title: AI-powered email to Jira ticket creation with Llama 3.2
Workflow name: 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.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Fetch Full Email Content

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 2 - Analyze Email & Extract Tasks

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 3 - AI Tool - Think Support

Type / Role: @n8n/n8n-nodes-langchain.toolThink - toolThink
Config choices: Version 1

Block 4 - Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOllama - lmChatOllama
Config choices: Version 1

Block 5 - Parse JSON Output from AI

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Check for New Emails

Type / Role: n8n-nodes-base.gmailTrigger - gmailTrigger
Config choices: Version 1.2

Block 8 - Jira - Create Main Issue

Type / Role: n8n-nodes-base.jira - jira
Config choices: Version 1

Block 9 - Create Subtasks

Type / Role: n8n-nodes-base.jira - jira
Config choices: Version 1

Block 10 - Split Subtasks JSON to Items

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 11 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

3. Summary Table

Workflow	AI-powered email to Jira ticket creation with Llama 3.2
Complexity	intermediate
Nodes	11
Categories	Project Management, AI Summarization
Author	Oneclick AI Squad
Published	30 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5473/5473.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Project Management workflows AI Summarization workflows

Frequently asked questions

What does AI-powered email to Jira ticket creation with Llama 3.2 do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Project Management, AI Summarization use case.

Oneclick AI Squad

224 workflows

Nodes

n8n-nodes-base.gmail @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.toolthink @n8n/n8n-nodes-langchain.lmchatollama n8n-nodes-base.code n8n-nodes-base.stickynote n8n-nodes-base.gmailtrigger n8n-nodes-base.jira

Complexity

intermediate

Published 30 Jun 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5473/5473.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Tag stale ClickUp tasks and escalate overdue items with assignee comments

## Quick overview This workflow runs daily on a schedule and checks ClickUp tasks in one or more lists for inactivity based on the task’s date_updated field, automatically applying “stale” tags and escalating long-idle tasks by tagging them and posting an assignee comment. ## How it works 1. Runs every day at the configured hour using the schedule trigger. 2. Loads monitoring settings (statuses, tags, stale thresholds, and tag names) and fetches matching tasks from the selected ClickUp list(s), then merges and deduplicates them. 3. Skips tasks that already have the second-level stale tag (for example, stale:14). 4. For tasks without the first-level stale tag, checks the last updated timestamp and adds either the first-level stale tag (for example, stale:7) or the second-level stale tag if they already exceed the higher threshold. 5. For tasks that already have the first-level stale tag, checks whether enough time has passed since that tag was applied and, if so, removes the first-level tag and adds the second-level stale tag. 6. When a task is escalated to the second-level stale tag, posts a warning comment on the ClickUp task and assigns the comment to the task assignee (or the creator if no assignee exists). ## Setup 1. Add a ClickUp API credential (OAuth or API token) and select it on all ClickUp nodes. 2. In the ClickUp task search node(s), choose the list(s) you want to monitor and enable/configure the second list node if you want to pull tasks from multiple lists. 3. Update the monitoring settings (monitoredStatuses, monitoredTags, daysUntilFirstStaleTag, daysUntilSecondStaleTag, and the stale tag names) to match your ClickUp workspace conventions. 4. Adjust the schedule trigger time and, if needed, set the workflow timezone in n8n settings so the run time matches your local time. ## Requirements - A ClickUp account with API access - ClickUp credential configured in n8n - At least one ClickUp list to monitor ## Customization - Change thresholds — Edit `daysUntilFirstStaleTag` and `daysUntilSecondStaleTag` in `SetContext` to any number of days - Change tag names — Update `firstStaleTagName` / `secondStaleTagName` to match your ClickUp tag naming convention - Monitor different statuses — Edit `monitoredStatuses` and `monitoredTags` in `SetContext` (e.g. add `review`, `blocked`) - Add more lists — Duplicate `GetTaskFromList1`, update the List ID, enable the node, and connect its output to a new input port on `AppendListTasks` - Change schedule — Open `TriggerRegularly` and switch from daily to weekdays-only or any custom cron interval - Disable subtasks — Open each `GetTaskFromList` node and set `subtasks` to `false` in the Filters section

View

Summarize daily Slack standups with OpenAI, Notion, and Google Sheets

## Quick overview This workflow runs every weekday, pulls standup messages from a Slack channel, uses OpenAI to generate a structured daily digest, saves the digest to a Notion database, posts a summary back to Slack, and appends an audit entry to Google Sheets. ## How it works 1. Runs every weekday morning on a cron schedule. 2. Fetches the day’s recent messages from a specified Slack standup channel and filters out bot, subtype, and join/leave system messages. 3. Checks whether any standup messages remain and posts a Slack notice if none are found. 4. Formats the remaining Slack updates into a single structured prompt with date, team name, and message count. 5. Sends the formatted standup text to OpenAI (gpt-4.1-mini) to generate a JSON digest with summary, highlights, blockers, per-user updates, and mood. 6. Parses and enriches the AI output with metadata, creates a new page in a Notion database, posts the digest to a Slack summary channel, and appends a run record to a Google Sheets “Audit Log” sheet. ## Setup 1. Add a Slack OAuth2 credential and set the standup channel ID (history source) and the summary channel ID (digest destination). 2. Add an OpenAI credential and confirm the model selection (gpt-4.1-mini) is available in your account. 3. Add a Notion credential, create/select a target database, and replace `YOUR_NOTION_DATABASE_ID` (and ensure the database has the referenced properties: Date, Team, Message Count, Mood). 4. Add a Google Sheets Service Account credential, share the target spreadsheet with the service account email, and replace `YOUR_SHEET_ID` and the sheet name (“Audit Log”) if different. 5. Adjust the schedule cron expression (`0 9 * * 1-5`) to match your team’s standup timing and timezone expectations.

View

Sync check due dates from Google Sheets to Google Calendar with Telegram alerts

## Quick overview This workflow watches a Google Sheets check inventory list and creates or updates matching all-day events in Google Calendar, then posts a creation or update notice to a Telegram group. ## How it works 1. Polls Google Sheets every hour for any updates in the “Check Inventory” sheet. 2. Checks whether the updated row already contains a Google Calendar Event ID. 3. If the Event ID is empty, searches Google Calendar for an existing event whose text matches the check number and backfills the found Event ID to Google Sheets. 4. If no matching calendar event exists, creates an all-day Google Calendar event using the check date and details from the Google Sheets row, then writes the new Event ID back to the sheet. 5. If an Event ID exists, fetches the corresponding Google Calendar event and compares its date, summary, and description to the latest Google Sheets values. 6. When differences are detected, updates the Google Calendar event to match the sheet and sends a Telegram message summarizing the created or updated events. ## Setup 1. Connect credentials for Google Sheets (including Google Sheets Trigger), Google Calendar OAuth2, and a Telegram Bot API account. 2. Replace `YOUR_CHECK_INVENTORY_SHEET_ID` in all Google Sheets nodes and ensure the “Check Inventory” sheet contains the required columns (including “Check Number” and “Event ID”). 3. Set the target Google Calendar ID (for example `[email protected]` or a shared calendar ID) in the Google Calendar nodes. 4. Replace `YOUR_TELEGRAM_GROUP_CHAT_ID` in the Telegram nodes and edit the message text to use the correct @mentions for your team.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

AI-powered email to Jira ticket creation with Llama 3.2

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Key Insights

Workflow Process

Usage Guide

Prerequisites

Customization Options

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Fetch Full Email Content

Block 2 - Analyze Email & Extract Tasks

Block 3 - AI Tool - Think Support

Block 4 - Chat Model

Block 5 - Parse JSON Output from AI

Block 6 - Sticky Note

Block 7 - Check for New Emails

Block 8 - Jira - Create Main Issue

Block 9 - Create Subtasks

Block 10 - Split Subtasks JSON to Items

Block 11 - Wait

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions