đź“ŤGurgaon, India
The client is a renowned talent acquisition partner, celebrated across India for its expertise in delivering exceptional talent solutions.Â
Over the years, it has built a strong reputation in the industry, successfully establishing a diverse client base across Dubai, the USA, and India.
*To respect NDA, the name has not been disclosed.
The critical challenges in the recruitment workflow were:
We started by integrating the client’s primary resume sources—LinkedIn, Naukri, and their internal mailbox—into a unified system. We developed APIs to automate the process of collecting resumes from these platforms, ensuring that all incoming applications were efficiently organized in a centralized database.
We utilized advanced natural language processing (NLP) models to parse resumes, extracting key data such as skills, experience, and qualifications. This information was then matched against job descriptions (JDs) using intelligent algorithms to identify and shortlist candidates who best aligned with the role requirements.
After Resume Shortlisting, and through human feedback loop, our solution handle the scheduling of Level 1 phone interviews with shortlisted candidates. The AI seamlessly coordinated with the shortlisted candidates to check availability and send calendar invites.
After each interview, our AI submitted structured feedbacks of all the candidates. These data provided to the decision makers had valuable insights to support faster, more informed hiring decisions.
Throughout the engagement, our team at Attention.sh continually monitored the AI system’s performance, fine-tuning the algorithms for improved accuracy in resume screening and interview scheduling.
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Attention.Sh deployed its Custom AI Solution to address the client's recruitment challenges, significantly improving efficiency and client relationships.
Reduced manual tasks allowed recruiters to focus on strategic activities.
Faster hiring processes and transparent reporting reinforced trust and long-term partnerships.
Automation reduced operational costs while improving hiring quality and speed.
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