How a Virtual HR AI Manages Resumes Autonomously
A system based on GPT-4o and n8n that analyzes resumes, contacts candidates and CTO in complete autonomy
Written by Sergio Sentinelli · CTO AIONSoft · January 10, 2025 · 8 min read
Introduction
In the HR world, resume management is often a long and repetitive process. Manual screening, skills assessment, sending standardized emails: operations that take precious time away from recruiters for more strategic activities.
With this experiment I wanted to demonstrate how a system based on Large Language Models and n8n automations can manage the entire selection process autonomously: from CV analysis to sending communications, through comparison with open positions.
The result?
A virtual HR that works 24/7, analyzes hard and soft skills, compares with company job openings and responds to the candidate with programmed empathy.
How the Workflow Works
The "CV Parser" workflow was built entirely in n8n, the open-source automation platform, and leverages GPT-4o as its analytical brain. Here's the complete journey each resume goes through:
CV Reception via Form
The candidate fills out an n8n form by uploading their CV in PDF format. The trigger automatically activates the flow.
Text Extraction from PDF
The Extract from File node extracts all text from the PDF document, transforming it into input processable by AI.
Structured Parsing with GPT-4o
The AI Agent analyzes the text and generates a structured JSON containing: technical skills, work experiences, soft skills, education, languages and certifications.
Email to Candidate
The system automatically sends a first receipt confirmation email to the candidate, personalized with their name and thanking them for their interest.
Notification to CTO
A second email is sent to the CTO (Sergio Sentinelli) containing the analyzed CV, structured JSON and preliminary profile assessment.
Comparison with Open Positions
The system queries a Google Sheet with active job openings and calculates the percentage match between candidate skills and sought requirements.
System Architecture
The complete flow from CV upload to final response
Screenshot of the actual n8n workflow used for HR automationWhat This Experiment Teaches
Beyond the technical result, this project demonstrates 4 concrete advantages of AI automation applied to HR processes:
Drastic Time Savings
What required 15-20 minutes of manual work per CV now happens in less than 30 seconds. The recruiter can focus on interviews and human evaluation.
Uniformity and Consistency
Each CV is analyzed with the same objective criteria. No risk of bias from fatigue, haste or undocumented subjective preferences.
Infinite Scalability
The system can handle 10 applications per day as well as 1000, without performance degradation. Automatic scalability without additional personnel costs.
Programmed Empathy
AI can be trained to generate polite, inclusive and personalized responses, maintaining a human tone even in automated communications.
Towards the Future: Agentic HR
This is just the first step. The possibilities for evolution of agentic HR systems are enormous and are already taking shape in cutting-edge companies:
Integration with Corporate ATS
Direct connection with Applicant Tracking Systems like Greenhouse, Workable or Lever, to automatically synchronize applications and status updates.
Intelligent HR Knowledge Base
The system could access a corporate knowledge base to autonomously answer candidate questions about: benefits, selection processes, company culture, remote working policies.
Autonomous Interview Scheduling
Integration with Google Calendar or Calendly to automatically propose interview slots based on team availability and candidate preferences.
The future of AI is not replacing people, but freeing them from the superfluous.
- Sergio Sentinelli, CTO AIONSoft
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