AI Workflows for Recruiting
Apr 27, 2026
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1 min read
An end-to-end recruiting automation pipeline built on n8n, where inbound applications flow through six connected workflows: application intake (via Tally forms), AI classification, CV extraction to structured fields, phone capture via webhook (using ngrok for local tunneling), structured job intake with skill normalization, and candidate-job matching with AI-based fit scoring plus automated alerts.
Built as the capstone for Masterschool’s AI Productivity module. The project demonstrates how AI can take over high-volume, structured recruiting work, freeing the human to focus on judgment-heavy decisions.
Authors
Data Analyst
Data analyst with a commercial law degree, a hands-on operations background, and full-time data analytics training completed in 2026. I work AI-native, turning messy operational data into analysis-ready datasets and dashboards people actually use, with a compliance-aware lens few analysts bring.