AI Powered Case Screening

Case Study: Transforming Recruitment at TalentTech India with AI-Powered CV Screening and RPA

Background TalentTech India, a mid-sized technology consulting firm, specializes in providing cutting-edge IT solutions to clients across various industries. With a rapidly growing client base, the firm faced challenges in scaling its recruitment process efficiently. The traditional hiring approach was time-consuming, labor-intensive, and prone to biases, leading to prolonged hiring cycles and inconsistent candidate quality.

Challenges TalentTech India identified several key issues in their recruitment process:

1. Time-Consuming Screening: Manual CV screening required HR personnel to review hundreds of applications per job posting, leading to delays in hiring.
2. Inconsistent Candidate Quality: Subjective evaluations resulted in inconsistent hiring decisions, affecting team performance and project execution.
3. Unconscious Bias: Human recruiters, despite best intentions, often exhibited unconscious biases in candidate selection.
4. Scalability Concerns: With business expansion, TalentTech India struggled to scale recruitment efforts while maintaining efficiency.

Solution: Implementation of AI-Powered CV Screening and RPA Integration with Naukri.com To address these challenges, TalentTech India adopted an AI-powered CV screening solution integrated with Robotic Process Automation (RPA) to extract resumes from Naukri.com, India’s leading job portal, and automate the hiring process.

Key Features of the AI & RPA System:

• Automated CV Extraction from Naukri.com: RPA bots were deployed to scan job applications and fetch resumes based on predefined criteria.
• Skill-Based Matching: AI algorithms compared candidate profiles against job descriptions for better alignment.
• Bias Reduction Mechanisms: Neutralized demographic and personal information, focusing purely on skills and experience.
• Ranked Shortlisting: Provided a ranked list of the best-fit candidates, helping recruiters prioritize top talent.
• Seamless ATS Integration: The system seamlessly integrated with TalentTech India’s existing Applicant Tracking System (ATS) for streamlined workflow management.

Implementation Process

1. Assessment & Customization: TalentTech India collaborated with AI and RPA solution providers to customize the screening algorithms based on their hiring needs.
2. Data Training & Testing: The system was trained using historical hiring data to improve accuracy and relevance.
3. Pilot Phase: The AI and RPA systems were tested on a small batch of job postings, with recruiters validating their recommendations.
4. Full-Scale Deployment: After successful trials, the system was fully integrated into TalentTech India’s recruitment process.
5. Continuous Optimization: Feedback loops were established to refine the AI’s screening criteria and improve performance over time.

Results & Impact The implementation of the AI-powered CV screening system and RPA automation yielded remarkable improvements:

• 75% Reduction in Time-to-Hire: The average hiring duration decreased from 40 days to just 10 days.
• 40% Increase in Candidate Quality: Hires made through AI recommendations demonstrated stronger performance and higher retention rates.
• Significant Bias Reduction: The system’s anonymized screening process led to a more diverse workforce with fairer hiring outcomes.
• Enhanced Recruiter Productivity: HR teams were able to focus on high-value tasks such as interviews and candidate engagement.

Conclusion By integrating AI-powered CV screening with RPA-driven resume extraction from Naukri.com, TalentTech India successfully transformed its recruitment process, achieving efficiency, quality, and fairness in hiring. The firm now has a scalable and data-driven hiring framework that aligns with its long-term growth objectives. This case study highlights the power of AI and automation in modern recruitment and serves as a model for other Indian organizations seeking to optimize talent acquisition.

This case study examines how TalentTech, a mid-sized technology consulting firm, revolutionized their recruitment process by implementing an AI-powered CV screening system. The transformation resulted in a 75% reduction in time-to-hire and a 40% increase in candidate quality, while significantly reducing hiring biases.