This n8n workflow automatically reads new incoming emails using IMAP, uses AI to decide whether the email needs a reply, and if yes — generates and sends a professional response automatically.
It’s a powerful “email assistant” workflow that avoids replying to newsletters, spam, promotions, or automated notifications.
Whenever a new email arrives:
The workflow uses structured output (true/false and reply text) so it stays consistent and reliable.
To run this workflow successfully, you need:
Import this directly into n8n:
👉 Download here:
https://drive.google.com/file/d/1XYt_Ub0q21v6CLvx0F_IRpz_AKDzV5e8/view?usp=sharing
✅ You’ll now see the full workflow with nodes connected.
Click on IMAP Email Trigger and set:
If you’re using Gmail, you must generate an App Password (Google doesn’t allow normal passwords for IMAP in most cases).
✅ After saving credentials, test it by sending yourself an email and using Execute Workflow.
The AI node (Analyze Email and Decide) receives:
Then it decides if a response is needed.
The output always follows this structured format:
That consistency is enforced using the Structured Output Parser.
This node checks:
This is the main safety gate that prevents replying to junk messages.
Open Send Reply Email and update:
You must replace this placeholder:
This field is already correctly mapped:
Automatically adds Re::
Uses AI reply message:
✅ Ensure your SMTP credentials are configured correctly.
Try 2 tests:
Send:
“Hi, can you confirm the meeting time tomorrow?”
✅ The workflow should reply automatically.
Forward a marketing email.
✅ It should NOT reply.
To avoid unwanted automation issues:
✅ Use a dedicated inbox (support@ / info@)✅ Apply filters (only reply to certain senders/domains)✅ Add a tag/label after replying✅ Add protection against reply loops (replying to your own replies)
If you want workflows like this built professionally and customized for your business, media87.com/ can help you design and implement end-to-end automation systems using n8n + AI + integrations.
We build automation systems that help businesses:
When Media87 builds an automation for you, we deliver:
✅ Workflow design + logic mapping✅ Custom n8n workflow build + testing✅ AI prompt optimization (so replies are professional & safe)✅ Integration setup (email, CRM, databases, webhooks)✅ Documentation + team handover✅ Support / improvements after deployment
If you’re serious about saving time, improving response speed, and cutting manual work — automation pays for itself very quickly.
This n8n workflow turns your inbox into a smart assistant:
The workflow reads emails, decides whether a reply is needed, generates a professional response, sends approved replies and avoids newsletters or spam by design.
The existing n8n workflow explains how to read an inbox, classify a message, and generate a response. The operational decision is how much authority to give the workflow. A support acknowledgement such as “we received your request” carries less risk than a reply that promises a refund, changes a deadline, confirms a price, or interprets a contract. Treat those as different automation levels rather than one universal auto-reply setting.
Agencies should also separate their own enquiries from client inboxes. Each client needs approved tone, escalation rules, working hours, sender identity, and service facts. If you need help turning the workflow into a controlled customer-service system, review Media87 digital marketing services at Media87 and map the automation to the real sales or support process before increasing send volume.
Run classification without sending. Compare the workflow decision with a human decision and record false positives, missed escalations, and unclear intents.
Create replies as drafts for human review. Check accuracy, tone, thread context, recipient, subject, links, and any promises before approving.
Auto-send only proven low-risk reply types. Keep complaints, exceptions, payments, security, and sensitive customer data behind human approval.
Build the decision output as a strict schema rather than free text. Useful fields include intent, shouldReply, riskLevel, confidence, reason, escalationTeam, replyDraft, and sourceReference. Validate every field before the IF node continues. If parsing fails, confidence is low, or the intent is not on the allowlist, stop the send path and create a review task instead.
Prevent reply loops by checking automated headers, no-reply addresses, mailing-list signals, your own sender addresses, and a stored message or thread ID before sending. Add idempotency so a retry does not send the same reply twice. Rate-limit the workflow, keep an error queue, and notify a person when IMAP, SMTP, the model, or the structured parser fails.
Protect customer information as it moves between email, n8n, the AI provider, logs, and connected systems. Send only the minimum message content needed for classification, avoid placing secrets in prompts, restrict credential access, and define how long message bodies and generated drafts remain in execution history. For client work, document which inboxes and message types are approved for AI processing.
No. Use automatic sending only for narrow, low-risk intents that have passed human review. Keep complaints, refunds, legal issues, security matters, and exceptions in a draft-and-approve path.
Give each client an approved tone guide, service facts, escalation rules, and good reply examples. Retrieve only relevant context and require a human review when the workflow lacks enough information.
The workflow should stop the send path, label the message for review, and route it to the correct person with the proposed draft and classification reason.
Store the processed message or thread ID, reject automated and no-reply senders, inspect email headers, cap retries, and verify that only one send action can succeed for each message.
Measure response time, classification accuracy, draft acceptance rate, escalation rate, reopen or correction rate, duplicate sends, and customer complaints—not just the number of automated replies.
Need a controlled email automation build? Media87 can help map intents, design n8n logic, connect approved knowledge, add review and escalation controls, and test the workflow before it handles live customer conversations.