HR-focused automation pipeline with AI

For the HR-focused automation pipeline with AI, streamline the job application process by automatically extracting key information from submitted CVs, evaluating candidates against a predefined profile, and storing results in Google Sheets. This efficient workflow enhances hiring accuracy, saves time, and improves candidate management.

7/4/2025
18 nodes
Complex
manualcomplexformtriggerextractfromfilelangchaingooglesheetsgoogle drivesticky noteadvancedfilesstorage
Categories:
Data Processing & AnalysisManual TriggeredComplex Workflow
Integrations:
FormTriggerExtractFromFileLangChainGoogleSheetsGoogle DriveSticky Note

Target Audience

This workflow is designed for HR professionals, recruiters, and talent acquisition teams who are looking to streamline the process of handling job applications. It is particularly beneficial for those dealing with a high volume of applications, as it automates the extraction and evaluation of candidate information, saving time and enhancing efficiency.

Problem Solved

This workflow addresses the challenge of manually processing job applications. By automating the extraction of key information from CVs, it significantly reduces the time spent on initial candidate evaluations. Furthermore, it provides a structured approach to assess candidates against a predefined profile, ensuring that the hiring process is both efficient and effective.

Workflow Steps

  • Form Submission: The workflow begins when a candidate submits their CV via a form titled 'Send CV', which requires their Name, Email, and a CV file in PDF format.

    2. File Extraction: Upon submission, the CV is extracted using the Extract from File node, focusing on PDF files to retrieve textual content.

    3. Information Extraction: The extracted text is processed to identify key attributes such as Educational qualifications, Job History, and Skills using the Qualifications node.

    4. Personal Data Extraction: Additional personal information, including City, Birthdate, and Telephone, is extracted through the Personal Data node.

    5. Data Merging: The information gathered from both extraction nodes is merged to create a comprehensive candidate profile.

    6. Summarization: A summarization chain condenses the candidate's information into a concise format, ensuring clarity and brevity.

    7. Profile Comparison: The workflow then compares the candidate's profile against a predefined Profile Wanted set by the hiring agency, which specifies desired qualifications and experience.

    8. Candidate Evaluation: An HR Expert node evaluates the candidate based on the summarized information and the profile requirements, assigning a score from 1 to 10 and providing motivational feedback.

    9. Data Storage: Finally, the results, including candidate details and evaluation, are appended to a Google Sheets document for easy tracking and reference, ensuring all data is organized and accessible.

  • Customization Guide

    To customize this workflow, users can:
    - Modify Form Fields: Adjust the form fields in the On form submission node to collect additional or different information as needed.
    - Change Extraction Parameters: Update the Extract from File and Qualifications nodes to extract more specific data or to focus on different attributes relevant to their hiring criteria.
    - Update Profile Requirements: Edit the Profile Wanted node to reflect the specific qualifications and skills required for different positions.
    - Adjust Evaluation Criteria: Change the scoring and feedback mechanism in the HR Expert node to align with their evaluation standards.
    - Integrate Additional Tools: Incorporate other tools or nodes as necessary to enhance functionality, such as adding notifications or integrating with other HR systems.