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Updated Workflow #1251

Auto Categorize Outlook Emails with n8n and AI

Struggling to manage overflowing Outlook inboxes? This n8n workflow uses AI to automatically categorize emails, saving time and reducing manual sorting errors. Learn how to automate email categorization with Microsoft Outlook and AI for a cleaner, smarter inbox.

Auto Categorize Outlook Emails with n8n and AI
CONNECTS
Manual Trigger, Microsoft Outlook, Filter, Split In Batches, Markdown, Set, Langchain AI Agent, Switch
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The canvas, and the 8 nodes behind it.

Preview of the Auto Categorize Outlook Emails with n8n and AI workflow canvas in n8n
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What runs inside this workflow

Auto Categorize Outlook Emails with n8n and AI is built from these n8n nodes: Manual Trigger, Microsoft Outlook, Filter, Split In Batches, Markdown, Set, Langchain AI Agent, Switch.

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    What This Workflow Does

    This workflow automatically sorts Outlook emails into categories like Action, Junk, Receipt, SaaS, Community, Business, and Other.


    It cleans email content, sends it to an AI model to find the right category, then updates and moves emails in Outlook accordingly.


    Who Should Use This Workflow

    This is for people who spend hours sorting Outlook emails by manual filters or rules.


    Users wanting less clutter and missed emails can save time by letting AI handle sorting.


    Tools and Services Used

    • Microsoft Outlook: For reading and updating emails.

    • n8n Automation Platform: Connects and runs the workflow nodes.

    • Langchain AI Agent with Ollama Qwen 2.5 Model: Analyzes email text and decides categories.

    Workflow Inputs, Processing, and Outputs

    Inputs

    • Unflagged Outlook emails that have no category assigned.

    Processing Steps

    • Fetch emails from Outlook using OData filters.

    • Filter out any emails that already have categories or are flagged.

    • Process emails one by one to control AI requests.

    • Convert email body from HTML to markdown, then clean to remove tags and special characters.

    • Prepare a list of allowed categories for the AI to assign.

    • Send cleaned email data to the Langchain AI Agent with a prompt asking for category and subcategory.

    • Parse the AI response into a usable format.

    • Use a switch node to send emails to update nodes based on the AI-assigned category.

    • Update Outlook email categories using Microsoft Outlook nodes.

    • Move emails to matching folders like Junk, Receipt, SaaS, Community, Actioned if read, etc.

    • Check if emails are read before moving some categories to avoid reprocessing.

    Outputs

    • Outlook emails categorized with correct tags.

    • Emails moved to dedicated folders based on category.

    Beginner Step-by-Step: How to Use This Workflow in n8n

    Step 1: Download and Import Workflow

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


    In the n8n editor, use the "Import from File" option to add the workflow.


    Step 2: Add Credentials and Configure

    Set up Microsoft Outlook credentials or API keys as required.


    Set credentials for the Langchain AI Agent and Ollama Qwen 2.5 model.


    Update folder IDs and email IDs inside the Microsoft Outlook nodes to match your mailbox folders if needed.


    Step 3: Review Prompt and Code

    Review AI prompt in the AI Agent1 node to understand the categories and instructions sent to AI.


    Check the JavaScript code in the varEmal1 node for email text cleaning to ensure it suits your email formats.


    Step 4: Test the Workflow

    Manually trigger the workflow using the Manual Trigger node to fetch emails and run categorization once.


    Observe outputs in each node for any errors or invalid AI responses.


    Step 5: Activate for Regular Use

    Change the trigger to a Cron Trigger or schedule to run at desired intervals (e.g., every hour).


    Activate the workflow. Monitor logs and Outlook to verify emails get categorized and moved properly.


    If using self-host n8n, make sure service runs continuously for automation.


    Customization Ideas

    • Change category list in the varID & Category1 node to suit personal email tags.

    • Adjust AI model temperature in the Ollama Chat Model node to control output style.

    • Add or change Outlook folder IDs in Microsoft Outlook move nodes to organize emails differently.

    • Tweak the AI prompt in the AI Agent1 node to refine how categories are assigned or to add explanation.

    • Modify batch size in Loop Over Items1 node for processing more emails at once or slowing down requests.

    Edge Cases and Troubleshooting

    • API limits: Too many emails or AI calls cause failures. Lower batch sizes or add delays.

    • Invalid AI JSON: AI returns badly formatted data. Use JSON parsing fixes and clean prompt.

    • Emails not moving: Wrong folder IDs or missing Outlook permissions. Check folderId setup.

    • Already categorized emails processed: Filter conditions may have errors. Confirm OData syntax in Outlook fetch and filter nodes.

    Summary of Results

    ✓ Emails get sorted automatically into correct categories.


    ✓ Outlook folders receive the right emails moved in place.


    ✓ Saves hours of manual sorting every week.


    → Inbox clutter is reduced and important emails are easier to find.


    Frequently Asked Questions

    Can this workflow work with Gmail instead of Outlook?

    No, this workflow is built using Microsoft Outlook nodes and folder rules. Adapting for Gmail needs different nodes and label handling.

    Do AI calls in the workflow have usage costs?

    Yes, using Langchain AI Agent and Ollama Qwen 2.5 model may cause <a href="https://buldrr.com/workflows/automate-web-searches-searchapi-ai-agent-n8n/" title="Automate Web Searches with SearchApi AI Agent in n8n" data-wpil-monitor-id="1631">API usage</a> costs depending on your plan.

    Is email data safe using this workflow?

    <a href="https://buldrr.com/workflows/automate-appointment-booking-ai-email-labeling-n8n/" title="Automate Appointment Booking &#038; AI Email Labeling with n8n" data-wpil-monitor-id="1632">Email data stays inside the n8n</a> environment. Using self-host n8n increases control over privacy.

    How many emails can this workflow handle at one time?

    Emails are processed in batches one-by-one. The batch size can be adjusted but large volumes need scheduled or repeated runs.

    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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