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n8n templateFreeBy Rahul Joshi

Route Jira tasks to experts using Google Sheets and GPT-4o-mini

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 spe...

DevelopmentProductivityAILangchainCore NodesData & StorageGoogle Sheets TriggerAgent
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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: taskname, assigneename, expertise, employeeid, itemtype (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: taskname, assigneename, expertise, employeeid, itemtype.

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.