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AI Agent - CV Resume - Automated Screening, Sorting, Rating and Tracker System

This workflow automates the processing of resume screening, classification, scoring, and status tracking through AI intelligent agents and automation tools. The system can parse candidates' PDF resumes in real time and match them with job descriptions, automatically archiving resumes into the corresponding folders based on scores, while also updating the candidate tracking sheet and sending email notifications. This significantly enhances recruitment efficiency, reduces manual intervention and subjective bias, making it highly suitable for the needs of human resources departments in bulk resume processing.

Workflow Diagram
AI Agent - CV Resume - Automated Screening, Sorting, Rating and Tracker System Workflow diagram

Workflow Name

AI Agent - CV Resume - Automated Screening, Sorting, Rating and Tracker System

Key Features and Highlights

This workflow leverages advanced AI agents combined with automation tools to enable automatic screening, categorization, scoring, and status tracking of resumes. The system can automatically extract job descriptions and candidate PDF resumes, perform intelligent matching and scoring, and based on the results, automatically archive resumes into “Rejected,” “Pending (KIV),” or “Shortlisted” folders. Simultaneously, it updates the online candidate tracking sheet and sends email notifications to relevant personnel. The entire process is highly automated, significantly enhancing recruitment efficiency and accuracy while reducing manual screening time and subjective bias.

Core Problems Addressed

  • Traditional resume screening is tedious, time-consuming, and prone to errors
  • Disorganized resume management with unclear categorization
  • Difficulty in tracking candidate status and delayed information updates
  • Untimely communication and notifications affecting recruitment progress

This workflow effectively resolves common pain points in recruitment workflows related to efficiency and management through automation and AI-driven analysis.

Application Scenarios

  • HR departments or recruitment teams handling large volumes of resumes
  • Organizations seeking to automate their recruitment processes
  • Recruitment projects requiring rapid resume screening based on job descriptions
  • Teams aiming for transparent and real-time recruitment data tracking

Main Process Steps

  1. Monitor a designated “Unfiltered” folder in Google Drive; trigger when new resume PDFs are uploaded
  2. Download and parse candidate resume content
  3. Retrieve the corresponding job description from Google Docs
  4. The AI Agent compares the job description with the resume content to make a decision of “Reject,” “Pending,” or “Shortlist,” providing a score and rationale
  5. Automatically move the resume file to the corresponding Google Drive folder (Rejected, KIV, Shortlisted) based on the AI decision
  6. Update the candidate tracking sheet in Google Sheets with scores, rationale, and status
  7. Send email notifications via Gmail to relevant personnel regarding candidate status and evaluation results

Involved Systems and Services

  • Google Drive (resume file storage, monitoring, and moving)
  • Google Docs (job description document retrieval)
  • Google Sheets (candidate status tracking sheet)
  • Gmail (email notifications)
  • n8n built-in nodes and Groq’s Llama 4 AI model (intelligent resume parsing and matching)

Target Users and Value Proposition

  • Recruitment managers, HR professionals, and hiring teams
  • Enterprises seeking to improve recruitment efficiency and reduce manual screening workload
  • Organizations aiming to enhance recruitment quality and decision accuracy through data-driven methods
  • Teams operating within the Google ecosystem

By implementing this workflow, recruitment teams can achieve intelligent and automated resume screening, significantly saving time and elevating the professionalism and responsiveness of their hiring processes.