AI resume screening
workflow
What was getting in the way
A small HR team spent three full working days manually reviewing more than 200 resumes for a single mid-level role.
Friction compounds
Manual screening slows hiring, drains the team, and makes consistent comparison against a job description harder to maintain at volume.
Design the system before the interface
Extract the real evaluation criteria first, then assess every resume against the same requirements and present decision-ready summaries instead of raw documents.
One coherent way of working
An automated screening workflow that extracts job requirements, analyses resumes, scores candidate relevance, and returns a ranked shortlist with summaries.
Strategy translated into infrastructure
Resume intake, document validation, text extraction, AI job configuration, candidate scoring, screening decisions, database storage, and automated interview or rejection communication.
Practical progress
The same screening workload that took three days can be completed in under 30 minutes, giving the hiring team a clearer shortlist to review.