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Updated Workflow #1311

AI Email Processing Workflow with Approval via n8n Automation

This n8n workflow automates handling incoming emails by summarizing content, generating AI-driven responses, and sending replies only after explicit approval. It saves time and ensures professional, context-aware email replies using AI and vector databases.

AI Email Processing Workflow with Approval via n8n Automation
CONNECTS
emailReadImap, markdown, lmChatOpenAi, emailSend, vectorStoreQdrant, embeddingsOpenAi, chainSummarization, set, if, gmail
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The canvas, and the 10 nodes behind it.

Preview of the AI Email Processing Workflow with Approval via n8n Automation workflow canvas in n8n
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What runs inside this workflow

AI Email Processing Workflow with Approval via n8n Automation is built from these n8n nodes: emailReadImap, markdown, lmChatOpenAi, emailSend, vectorStoreQdrant, embeddingsOpenAi, chainSummarization, set, if, gmail.

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    What this workflow does

    This workflow reads new emails from a company inbox using IMAP.


    It turns the email content into markdown to make the text easier to handle.


    Then it uses AI to write a short summary of the email.


    The summary is used to find related information from a company knowledge database called Qdrant.


    Based on the summary and knowledge retrieved, AI creates a draft reply email in HTML.


    The draft is sent to a Gmail account for manual approval, where the manager can accept or reject it.


    After approval, the final reply is sent automatically to the original sender’s email address.


    This helps save time and keeps replies clear and approved.



    Who should use this workflow

    This workflow is for customer service managers or teams who get many email questions every day.


    They need to reply quickly but also want answers checked before sending.


    If users want to reduce manual work and avoid reply mistakes, this workflow fits.



    Tools and services used


    How the workflow works (Input → Process → Output)

    Input

    New emails arrive in the corporate inbox configured for IMAP access.


    Processing steps

    • Convert email HTML body to markdown for easier AI reading.

    • Summarize the email into 100 words or less using an AI summarization chain.

    • Generate vector embeddings from summary for semantic search.

    • Query Qdrant knowledge base collection using embeddings to find related info.

    • Use AI to write an HTML email reply draft combining summary and retrieved knowledge.

    • Send draft email to a specified Gmail account with Yes/No approval buttons.

    • Wait for manual approval decision from the Gmail response.

    • If approved, send the final reply email to the original sender via SMTP.

    Output

    Professional, concise reply email sent to the original customer only after approval.



    Beginner step-by-step: How to use this workflow in n8n

    1. Import the workflow

    1. Download the workflow file using the Download button on this page.

    2. Open your n8n editor.

    3. Click 'Import from File' and select the downloaded workflow file.

    2. Configure credentials

    1. Add your corporate IMAP email credentials in the Email Trigger (IMAP) node.

    2. Enter your OpenAI API key in the nodes that require it (embedding and AI tasks).

    3. Add Qdrant API key and configure the knowledge base collection ID.

    4. Set the Gmail account credentials in the Send Draft node for draft approvals.

    5. Provide SMTP details for the Send Email node to send final replies.

    6. Update any email addresses, collection names, or IDs needed for your company.

    3. Test and activate

    1. Trigger a test email to the corporate inbox.

    2. Watch the workflow run and verify each step’s output.

    3. Check that the draft email reaches the Gmail approval account with buttons.

    4. Approve or reject the draft from Gmail and see if the final email sends when approved.

    5. After testing, toggle the workflow to ‘Active’ to run continuously.

    If using self-host n8n, refer to self-host n8n for setup options.



    Common input problems and failures

    • No emails trigger: Check that IMAP credentials and server settings are correct.

    • AI fails to summarize: Confirm OpenAI API key is valid and input data matches expected fields.

    • No knowledge returned from Qdrant: Make sure collection exists and embeddings are properly generated.

    • Approval buttons missing in Gmail: The approval feature works only using the Gmail node with OAuth2.

    • Email not sent: Verify SMTP details and that the final recipient email is correct.


    Customization options

    • Change the AI model used for summarizing and writing replies by editing model name in OpenAI nodes.

    • Modify summary length in the AI chain prompt for shorter or longer summaries.

    • Add more documents to Qdrant to cover more company info and improve reply accuracy.

    • Switch the draft approval step to a different Gmail or integrate other approval methods such as Slack.


    Summary of workflow result

    → Emails are read and understood quickly without manual reading.


    → Replies are drafted professionally with AI and company data.


    → Approval step stops errors and unwanted replies before sending.


    → Saves hours of manual work daily.


    → Maintains consistent, clear, and approved communication.


    Frequently Asked Questions

    What does the Email Trigger (IMAP) node do?

    The Email Trigger (IMAP) node watches the corporate inbox and starts the workflow when a new email arrives.

    Can this workflow use AI models other than OpenAI?

    Yes, but OpenAI nodes are configured here. Using other AI services requires changes to nodes and prompts.

    Why is Gmail required for draft approvals?

    Gmail’s OAuth2 node supports sending draft emails with Yes/No approval buttons, which other email services do not.

    How can the company knowledge base be updated?

    Add or update documents in the Qdrant vector database collection used by the workflow for better response accuracy.

    Vikash Kumar
    WRITTEN BY
    Vikash Kumar
    Founder, BULDRR AI
    Building AI agents, n8n workflows and end-to-end automation for 30+ Brands across India, the US, Europe, Dubai & Australia. 7+ years of Experience saving founders real hours every week - no code required.

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