Predictive AI Reduced the Recruitment Cycle from Weeks to Days
Executive Summary
Timestamp implemented an intelligent CV analysis and recruitment solution that combines Generative AI with Predictive AI. The system automatically extracts skills, matches them against job description criteria, and assigns explainable scores, shortening the hiring process from 3–4 weeks to just a few days, with an 85% success rate.
The Challenge
Traditional recruitment processes are time-consuming and subjective. The manual screening of hundreds of CVs consumes weeks of HR teams’ time, with a high risk of bias and the loss of qualified candidates. The lack of standardization in the evaluation process makes objective candidate comparison difficult, while lengthy hiring cycles often result in talent being lost to more agile competitors.
Portfolio
Timestamp Solution
Intelligent CV Extraction
GenAI automatically extracts skills, experience, and qualifications from each CV, regardless of format or language.
Predictive Matching
The model compares the extracted data against the specific criteria of each job description, assessing how well each candidate matches the role.
Transparent Scoring
Each candidate receives a transparent and explainable score, enabling HR teams to perform objective, consistent, and justifiable evaluations.
TOP 20 Dashboard
The solution presents the top candidates in a TOP 20 dashboard, ranked by suitability, and generates multilingual versions of CVs tailored to the specific role.
About the Project
Business Impact
3–4 weeks → days
Drastic reduction in the end-to-end hiring cycle
85%
Candidate-to-role matching success rate
TOP 20
Automatic dashboard with an explainable candidate ranking.
Other Cases
Continue exploring Timestamp results
How Voice AI Transformed Banking Self-Service with Over 90% Success
Discover how a financial institution increased operational efficiency and enhanced customer experience through a Voice AI solution for self-service inquiries and transfers.
NotebookLM and RAG Empowered Healthcare Contact Center Agents
Discover how a healthcare provider transformed its customer service through an AI-powered solution based on NotebookLM and RAG, enabling agents to access critical information in real time and deliver faster, more consistent support.
AI Agents Reduced Code Repair Time by More Than 60%
Learn how an Engineering/SRE company reduced code repair time by more than 60% with AI agents developed by Timestamp.
