AI Workflows for Recruiting

Apr 27, 2026 · 1 min read
projects

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.

Annelize Krause
Authors
Data Analyst
Data analyst with a commercial law degree and a hands-on operations background. I work AI-native, turning messy operational data into datasets and dashboards people actually use, with a compliance-aware lens few analysts bring.

Remote and async since 2015, across US and EU time zones
English (C2) · Afrikaans (native) · German (B1)