Gmail + OpenAI: smart replies for every enquiry
Your inbox fills up with “quick questions” that are never quick. You answer the same things again and again, and the real work gets pushed into the evening.
This Gmail reply automation hits support teams first, but sales reps and solo operators feel it too. You will respond faster, keep a consistent tone, and stop losing good enquiries to slow replies.
This workflow watches Gmail, decides if a message is a real enquiry, pulls the right FAQ-style context, then drafts and sends a clean reply automatically. You’ll see what it does, what you need, and how to run it without writing code.
How This Automation Works
Here’s the complete workflow you’ll be setting up:
n8n Workflow Template: Gmail + OpenAI: smart replies for every enquiry
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Why This Matters: Repeating Yourself in Email All Day
Manually replying to enquiries sounds harmless until you’re in it. A “Do you ship to…?”, “What’s your pricing?”, “Can you send examples?” thread steals 10 minutes, then another one lands, then three more. You switch tabs, hunt for the right link, rewrite the same polite phrasing, and hope you didn’t forget an important detail. Meanwhile, the messages that actually need your judgment sit there getting older. The worst part is the mental drag. You’re doing real-time triage in your inbox instead of running your business.
It adds up fast. Here’s where it usually breaks down.
- You respond slower than you want, and the best leads often pick the fastest vendor.
- Replies drift in tone between teammates, which makes your brand feel inconsistent.
- Copy-paste answers still need edits, so you’re “automating” but never really done.
- Not every email is an enquiry, yet you still spend attention reading and sorting them.
What You’ll Build: AI-Powered Enquiry Classification + Instant Replies
This workflow turns your Gmail inbox into a lightweight, always-on first responder. When a new email arrives, it’s immediately analyzed with OpenAI (GPT‑4o) to classify what it is. If it’s not a real enquiry, the workflow stops, so you don’t waste compute or risk sending awkward replies to newsletters or notifications. If it is an enquiry, a LangChain agent takes over. It reads the message, uses conversation memory so the response stays coherent, and calls an HTTP tool to fetch relevant context from your FAQ or help content via a Dumpling AI agent. Then it composes a tailored reply and sends it back through Gmail in the original thread, so it looks like a normal email conversation.
The workflow starts in Gmail. OpenAI sorts the message and, only when it qualifies as an enquiry, the agent enriches it with your own context and drafts the response. Finally, Gmail sends the answer automatically, usually within minutes of the email landing.
What You’re Building
| What Gets Automated | What You’ll Achieve |
|---|---|
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Expected Results
Say you get 20 real enquiries a day, and each one takes about 8 minutes to read, search your FAQ, and write a solid response. That’s roughly 2.5 hours daily spent on repeats. With this workflow, the “hands-on” time becomes close to zero for the routine ones: the trigger is instant, the agent typically replies within a few minutes, and you only step in for edge cases. In practice, many teams get about 2 hours back per day and still reply faster than before.
Before You Start
- n8n instance (try n8n Cloud free)
- Self-hosting option if you prefer (Hostinger works well)
- Gmail for monitoring and sending replies
- OpenAI to classify and generate responses
- Dumpling AI API key (get it from your Dumpling AI dashboard)
Skill level: Beginner. You’ll connect accounts, paste a key, and edit a couple of prompts.
Want someone to build this for you? Talk to an automation expert (free 15-minute consultation).
Step by Step
A new email lands in your Gmail inbox. The Gmail Trigger watches the mailbox you choose (support@, sales@, or your personal inbox) and passes the message content into the workflow.
The email is classified before anything else happens. OpenAI (GPT‑4o) checks the subject and body and labels it as an enquiry or not. This matters because you don’t want automatic replies going out to receipts, automated alerts, or spam.
Only real enquiries continue into the agent. A Filter blocks everything else. If it is an enquiry, the LangChain agent reads the message, uses a memory window to keep replies consistent, and calls an HTTP tool that queries your Dumpling AI agent for relevant FAQ/help context.
The reply is written and sent in-thread. The agent composes the final response and the Gmail node dispatches it to the original sender, so the conversation stays tidy and searchable.
You can easily modify the classification labels to include complaints, partnership requests, or billing questions based on your needs. See the full implementation guide below for customization options.
Step-by-Step Implementation Guide
Step 1: Configure the gmailTrigger
Set up the Gmail trigger to monitor new incoming messages and initiate the workflow.
- Add Monitor Gmail Inbox and set Poll Times to
everyMinutein item. - Credential Required: Connect your gmailOAuth2 credentials in Monitor Gmail Inbox.
- Leave Filters empty if you want to monitor all incoming mail.
Step 2: Connect Gmail and OpenAI Services
Ensure all required credentials are connected for Gmail and OpenAI operations used throughout the flow.
- Credential Required: Connect your openAiApi credentials in Categorize Email with GPT.
- Credential Required: Connect your openAiApi credentials in GPT-4o Mini Chat.
- Credential Required: Connect your gmailOAuth2 credentials in Dispatch Gmail Reply.
Step 3: Set Up Email Classification and Validation
Classify emails using GPT and only proceed when the result is an enquiry.
- In Categorize Email with GPT, set Model to
gpt-4o. - Set the message prompt to the exact content shown, including the expression:
{{ $json.snippet }}. - In Validate Enquiry Only, set Left Value to
{{ $json.message.content }}, Operator toequals, and Right Value toenquiry.
Step 4: Configure AI Orchestration and Reply Tools
Configure the LangChain agent, memory, and tools to generate a response and send it via Gmail.
- In LangChain Reply Orchestrator, set Text to
{{ $('Monitor Gmail Inbox').item.json.snippet }}and keep Prompt Type asdefine. - Connect GPT-4o Mini Chat to LangChain Reply Orchestrator as the language model.
- In Conversation Memory Window, set Context Window Length to
10and connect it to LangChain Reply Orchestrator as memory. - In Dumpling AI Info Lookup, set URL to
https://app.dumplingai.com/api/v1/agents/generate-completion, Method toPOST, and JSON Body to the exact expression:{ "messages": [ { "role": "user", "content":"{{ $('Monitor Gmail Inbox').item.json.snippet }}" } ], "agentId": "[YOUR_ID]", "parseJson": "True" }. - Credential Required: Connect your httpHeaderAuth credentials in Dumpling AI Info Lookup.
- In Dispatch Gmail Reply, set Message to
{{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}and Subject to{{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Subject', ``, 'string') }}.
[YOUR_ID] in Dumpling AI Info Lookup with your actual Dumpling AI agent ID to avoid failed requests.Step 5: Test and Activate Your Workflow
Run a test execution to ensure enquiries are detected, AI generates a reply, and Gmail sends the response.
- Click Execute Workflow and send a test enquiry email to the monitored inbox.
- Verify that Categorize Email with GPT returns
enquiryand that Validate Enquiry Only passes the item. - Confirm LangChain Reply Orchestrator produces a response and Dispatch Gmail Reply sends the email with the AI-generated
SubjectandMessage. - Toggle the workflow to Active once the test succeeds for production use.
Troubleshooting Tips
- Gmail OAuth credentials can expire or lose permissions. If replies stop sending, check the Gmail connection status in n8n credentials first.
- Dumpling AI requests can fail if the agent ID or API key is wrong. Confirm both values in the HTTP/Dumpling tool node, then test it with a single known email.
- Default prompts in OpenAI nodes are generic. Add your brand voice, “what not to say,” and a short FAQ summary early or you’ll be rewriting every reply anyway.
Quick Answers
About 30 minutes if your accounts are ready.
No. You’ll connect Gmail and OpenAI, then tweak prompts and rules in plain English.
Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in OpenAI API costs (often a few cents per reply) plus whatever Dumpling AI charges for your plan.
Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.
Yes, and you should. Update the “Categorize Email with GPT” prompt to add labels like “billing,” “complaint,” or “partnership.” You can also change what context is pulled by editing the Dumpling AI lookup tool (the HTTP request) to search different sources, like internal docs or a product database. Finally, adjust the agent instructions so it CCs a teammate for certain categories, or refuses to answer topics you want handled manually.
Most of the time it’s expired OAuth or missing Gmail permissions in n8n, so reconnect the Gmail credential and re-authorize access. Also check that the sending node is allowed to reply from the same mailbox you’re monitoring, especially if you use aliases. If you suddenly process a lot of emails at once, you might also run into provider limits, so slow down the trigger or filter more aggressively.
If you self-host, volume mostly depends on your server and API limits.
Often, yes. n8n handles more complex logic (filters, branching, memory, and agent tooling) without turning every extra step into a higher bill, and self-hosting is a real option when you want unlimited executions. It’s also easier to keep the whole “classify → fetch context → generate reply → send” chain in one place, which makes troubleshooting less annoying. Zapier or Make can still be fine for a simple “draft a reply” flow, but once you add retrieval (your FAQ context) and stricter controls, n8n tends to fit better. Talk to an automation expert if you want help choosing.
Once this is running, routine enquiries stop being a daily tax on your attention. The workflow handles the repeatable questions, and you jump in only when it actually matters.
Need Help Setting This Up?
Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.