OpenAI e-mail classification - application

Automated email classification workflow for OpenAI that efficiently sorts incoming emails into categories such as job applications, sales inquiries, and invoices. It extracts key applicant information from emails and attachments, streamlining the review process and enhancing productivity.

7/8/2025
10 nodes
Medium
emailmediumemailreadimapsticky notelangchainextractfromfilenoopnotificationlogicconditionalfilesstorage
Categories:
Medium WorkflowEmail Triggered
Integrations:
EmailReadImapSticky NoteLangChainExtractFromFileNoOp

Target Audience

This workflow is ideal for HR professionals, recruiters, and sales teams who handle numerous email inquiries and applications. It is particularly beneficial for:
- HR Departments: Streamlining job applications and managing candidate information efficiently.
- Sales Teams: Categorizing and following up on inbound leads to improve response times and conversion rates.
- Administrative Staff: Automating the processing of invoices and other business-related emails to reduce manual work.

Problem Solved

This workflow addresses the challenge of managing and classifying large volumes of emails, especially job applications and sales inquiries. It automates the following:
- Email Categorization: Automatically classifying emails into categories such as job applications, sales inquiries, invoices, or others, ensuring no important communication is overlooked.
- Data Extraction: Extracting relevant information from both email content and attachments, such as resumes, to facilitate quick decision-making.
- Integration with AI: Leveraging AI to enhance the classification and information extraction processes, making them more accurate and efficient.

Workflow Steps

  • Email Trigger: The workflow starts when a new email is received through the IMAP protocol.
    2. Extract Data from Attachment: If the email contains attachments (like resumes), this node extracts text from PDF files for further processing.
    3. Classify Email: The extracted email content and attachment data are analyzed to categorize the email into predefined categories (e.g., job application, inbound lead, invoice).
    4. Extract Variables: Key information such as the applicant's first name, last name, age, and relevant experience is extracted from the email and attachment for easy reference.
    5. OpenAI Integration: The workflow utilizes OpenAI's language model to enhance the classification and extraction processes, providing intelligent insights.
    6. Routing: Based on the classification, the workflow can route the data to different subsequent actions or processes as needed.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Categories: Adjust the categories in the 'Classify email' node to better fit their specific needs or business processes.
    - Adding New Attributes: In the 'Extract variables' node, users can add or modify the attributes being extracted to capture different information relevant to their requirements.
    - Integrating Additional Nodes: Users can add more nodes for specific actions, such as sending notifications, saving data to a database, or triggering other workflows based on the classification results.
    - Adjusting Email Settings: Update the IMAP account settings in the 'Email trigger' node to connect to different email accounts as needed.