AI-Powered Hiring for BFSI

Client Overview

One of India’s top financial institutions, known for its extensive branch network and retail banking services, was looking to hire thousands of professionals across operations, sales, and support roles in multiple Tier-1 and Tier-2 cities

Challenge

The institution faced immense pressure to fill positions quickly due to expansion plans. Traditional hiring was time-consuming and highly manual, involving hundreds of resumes and inefficient first-level screenings. The HR team found it difficult to match the right candidates with the right roles, leading to bottlenecks and poor hiring outcomes.

Solution

We introduced an AI-powered recruitment solution integrated with their existing ATS. Key features included:

• Resume Parsing: Automatically extracting structured data from unstructured resumes.
• Keyword-Based Scoring: Mapping candidate experience to job descriptions through intelligent keyword and context matching.
• Automated Pre-screening: Candidates were evaluated on custom criteria like experience, skill relevance, and past employers.
• Candidate Ranking Dashboard: An intuitive UI showing the best-fit candidates for each role based on AI scoring.

Result

• 65% Reduction in time-to-hire across roles.
• Improved candidate-job fit, reducing attrition in the first 90 days.
• HR teams saved over 40% of time spent in initial screening.
• Faster onboarding helped the bank meet its project timelines.

Inspiration

The BFSI sector needs precision, scalability, and speed. This case proved that AI can drive intelligent decision-making, especially in high-volume environments.

Client Quote

“AI didn’t just speed up our hiring—it brought precision and insight into how we scale talent.”