Faster, Fairer CV Screening
Manual CV screening is slow and inconsistent. We built an AI-driven system that extracts, scores, and shortlists candidates automatically, reducing screening time by 80% and improving accuracy.
Helping a Recruitment Firm Save Hours of Manual Work
Hiring the right people can be time-consuming. Many businesses spend hours reviewing CVs, trying to find the best candidates. This process is often slow, inconsistent, and prone to human error.
One of our clients—a recruitment firm—struggled with these challenges. They needed a faster, more reliable way to screen candidates. So, we built an automated system to extract, analyse, and score CVs, making hiring quicker, fairer, and more efficient.
The Challenge: Slow, Subjective Candidate Screening
Before working with us, our client’s recruitment team spent hours manually reviewing CVs, trying to identify the best candidates based on experience, qualifications, and skills.
Their biggest pain points:
❌ Time-consuming
❌ Inconsistencies
❌ Missed top talent
They needed a fast, scalable, and objective way to evaluate candidates—without sacrificing quality or fairness.
Our Solution: An AI-Powered Candidate Evaluation System
We built an intelligent automation workflow that evaluates candidates in two stages:
1. Automated Data Extraction
Our system reads CVs and online profiles using a powerful AI model (LLM). It automatically pulls out key details like:
✅ Work experience
✅ Project involvement
✅ Achievements & measurable impact
✅ Relevant qualifications
2. Smart Scoring with Dynamic Weighting
Once the system extracts the data, it automatically scores candidates based on set criteria.
💡 How it works:
🔹 Each factor (experience, skills, qualifications) is weighted by importance.
🔹 Candidates score higher for exceeding, not just meeting, requirements.
🔹 The system calculates an overall fit score (%), making top candidates easy to spot.
🔹 Example: If leadership is key, candidates with extra managerial experience get a higher score.
