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Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent

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Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent preview
Open on n8n.io

Important notice

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

1. Workflow Overview

Who is this for? This workflow is ideal for: Customer support teams looking to reduce manual response time SaaS companies that frequently receive product inquiries E commerce stores with common cus...

Best for

  • Ticket Management automation workflows
  • AI RAG automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheetstool, n8n-nodes-base.gmail, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.gmailtrigger, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.textclassifier

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Billy Christi.

Original n8n.io source

1.1 Workflow description

Title
Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent
Workflow name
Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent

Who is this for?

This workflow is ideal for:

  • Customer support teams looking to reduce manual response time
  • SaaS companies that frequently receive product inquiries
  • E-commerce stores with common customer questions about orders, shipping, and returns

What problem is this workflow solving?

Manually responding to repetitive customer emails is inefficient, prone to inconsistency, and time-consuming. This workflow solves the issue by:

  • Automatically replying to real customer inquiries 24/7
  • Ensuring every response is consistent, friendly, and based on approved knowledge
  • Preventing responses to non-inquiries like newsletters or confirmations
  • Logging every interaction for traceability, analysis, and compliance

What this workflow does

This AI-powered Gmail auto-responder intelligently handles inbound emails with the following steps:

  1. Monitors your Gmail inbox for new incoming emails in real time
  2. Classifies each email as either an “Inquiry” or “Not Inquiry” using GPT-4
  3. Gets context from a Google Sheets FAQ database The context will be used to determine the most accurate and helpful response
  4. Generates a professional reply only if it’s a valid inquiry (e.g., pricing, refund, product details)
  5. Builds a context-aware, helpful response using verified knowledge only
  6. Sends the reply to the original sender automatically
  7. Logs everything to a Google Sheet — original email, AI response, timestamp, and email address

Example Use Case:

An email comes in: "Hi, I want to know your pricing and refund policy."

The workflow:

  • Detects it’s an inquiry
  • Finds the pricing and refund FAQs in your Google Sheet
  • Sends back a professional response like: "Hi! Thanks for reaching out. Our pricing starts at $99/month. Refunds can be requested within 30 days of purchase. Let us know if you have more questions!"
  • Logs the interaction to your “Enquiry_Log” tab

Setup

  1. Copy the Google Sheet template here: 👉 Gmail Auto-Responder – Google Sheet Template This contains:

    • A FAQ_Context tab (your knowledge base)
    • An Enquiry_Log tab (interaction logs)
  2. Connect your Gmail account to the Gmail Trigger and Gmail Send nodes

  3. Add your OpenAI API key in the classification and response generator nodes

  4. Link the Google Sheet in both the FAQ lookup and logging nodes

  5. Test with a sample email — try asking a pricing and refund question to see the complete process in action

How to customize this workflow to your needs

  • Adjust tone or brand voice in the AI prompt for a more casual or formal reply
  • Modify classification rules if your use case includes more custom logic
  • Expand the FAQ database to include new questions and answers
  • Add multilingual support by customizing the AI prompt to detect and respond in different languages
  • Integrate CRM or ticketing systems (like HubSpot, Zendesk, or Notion) to log or escalate unanswered queries

Contact me for consulting and support:
📧 [email protected]

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 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 2 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 3 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 4 - Google Sheets Context Retrieval Tool

Type / Role
n8n-nodes-base.googleSheetsTool - googleSheetsTool
Config choices
Version 4.5

Block 5 - Send Reply to User

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

Block 6 - Reply Generator AI Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 1.9

Block 7 - Watch Gmail for New Incoming Emails

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

Block 8 - Log Inquiries + Response to Google Sheet

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.5

Block 9 - Inquiry Filter

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note1

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

Block 12 - Sticky Note

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

Block 13 - Sticky Note3

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

Block 14 - Sticky Note4

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

Block 15 - Sticky Note5

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

3. Summary Table

Workflow Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent
Complexity advanced
Nodes 15
Categories Ticket Management, AI RAG
Author Billy Christi
Published 27 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/4413/4413.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

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

  4. 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. 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.

Frequently asked questions

What does Auto-respond to Gmail inquiries using OpenAI, Google Sheet & AI agent do?

Who is this for? This workflow is ideal for: Customer support teams looking to reduce manual response time SaaS companies that frequently receive product inquiries E commerce stores with common cus...

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 Ticket Management, AI RAG use case.