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Route Jira Tasks to Experts Using Google Sheets and GPT-4o-mini

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Created by: Rahul Joshi || rahul08

Rahul Joshi

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Last update a day ago

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Description

Automatically assigns new tasks from an Excel/Google Sheets source to the best-fit employee based on expertise, then creates issues in Jira. Gain fast, consistent routing that reduces manual triage and speeds delivery. 🧠📊➡️🗂️

What This Template Does

  • Fetches new task rows and related areas from Google Sheets/Excel.
  • Analyzes each item with an AI Agent using Azure OpenAI.
  • Selects the best-fit employee by matching the area to expertise stored in the sheet.
  • Returns structured outputs (task, assignee, expertise, ID, bug/task) and creates the Jira issue.
  • Applies rule-based handling for bugs vs tasks via a Switch node.

Key Benefits

⏱ Save time by automating task assignment from new entries.
🎯 Improve accuracy with expertise-based matching.
📋 Keep clean, structured outputs for downstream systems.
🔁 Seamless handoff from Sheets to Jira with no manual steps.

Features

  • Google Sheets Trigger: Reads new task name and related area from the sheet.
  • AI Agent (Azure OpenAI): Evaluates expertise fit and decides the best assignee.
  • Structured Output Parser: Returns exactly five fields: task_name, assignee_name, expertise, employee_id, item_type (bug/task).
  • Jira Create Issue: Creates issues in Jira using selected assignee and item type.
  • Switch (Rules): Routes logic for bugs vs tasks for consistent categorization.

Requirements

  • n8n instance: Cloud or self-hosted.
  • Google Sheets access: Sheet containing employee roster with columns for Name, Expertise, and ID; connect credentials in n8n.
  • Azure OpenAI (GPT-4o-mini): Configure the Azure OpenAI Chat Model credentials for the AI Agent.
  • Jira credentials: Authorized account with permissions to create issues.
  • Output Parser setup: Structured Output Parser configured to the five-field schema: task_name, assignee_name, expertise, employee_id, item_type.

Target Audience

🧩 IT Support and Ops teams routing incoming work.
🧭 Project managers orchestrating assignments at scale.
🛠 Engineering managers seeking consistent triage.
📈 Business operations teams automating intake to delivery.

Step-by-Step Setup Instructions

  • Connect Google Sheets credentials and map the task and area fields; ensure roster columns (Name, Expertise, ID) are present.
  • Add Jira credentials and set the Create Issue node to your target project and issue type.
  • Configure Azure OpenAI (GPT-4o-mini) for the AI Agent and provide credentials.
  • Import the workflow, assign all credentials, and align the Structured Output Parser to the five-field schema.
  • Run a test with sample rows; confirm assignee selection and Jira issue creation; then enable scheduling.

Security Best Practices

  • Use least-privilege API tokens for Google Sheets and Jira.
  • Restrict sheet access to only required users and service accounts.
  • Validate and sanitize incoming task data before issue creation.
  • Store credentials securely in n8n and rotate them regularly.
  • Log only necessary fields; avoid sensitive data in workflow logs.