How It Works
How It Works This workflow automates end-to-end candidate evaluation for HR teams and recruiters overwhelmed by high-volume hiring. Designed for talent acquisition professionals, hiring managers, and HR operations, it solves the challenge of manually screening resumes, validating qualifications, and coordinating interview feedback across multiple stakeholders. The system triggers on new applications, extracts CV content, prepares structured candidate data, and deploys specialized AI agents for comprehensive evaluation: Signal Agent validates credentials, CV Verification Agent confirms qualifications, Trust Assessment Agent evaluates cultural fit, and Experience Agent analyzes career trajectory. The Orchestrator Agent synthesizes insights, checks validation results, and routes decisions—sending approval emails for qualified candidates, rejection notices for mismatches, and logging all outcomes to Google Calendar and Sheets. By automating screening with multi-dimensional AI analysis, organizations reduce time-to-hire by 70%, eliminate bias, ensure consistent evaluation criteria, and free recruiters to focus on relationship-building with top talent. Setup Steps Connect webhook/form trigger to applicant tracking system or career portal Configure CV extraction node with document parsing API credentials Add OpenAI API keys to all AI agent nodes Define evaluation criteria in each agent's prompt Link Gmail credentials for approval and rejection email templates Connect Google Calendar API for interview scheduling automation Prerequisites ATS integration or career portal webhook access, OpenAI API account Use Cases High-volume recruitment screening, technical role qualification validation Customization Modify agent prompts for role-specific criteria, adjust scoring thresholds for pass/fail decisions Benefits Reduces screening time by 70%, eliminates unconscious bias through standardized evaluation. An n8n automation workflow template by Cheng Siong Chin.
Cheng Siong Chin
web
free
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