AI-Driven HR Transformation: A Deep Dive into Agentic Multi-Agent Frameworks
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AI-Driven HR Transformation: A Deep Dive into Agentic Multi-Agent Frameworks
Sachin Thakre, Kanan Yadav
Abstract
In an era where hiring cycles are growing increasingly complex and employees demand real-time support, traditional HR processes are no longer sufficient. This case study introduces an end-to-end Agentic AI system developed to transform two critical HR areas: recruitment and employee assistance. By combining multiple intelligent agents into a unified framework, this system automates live and asynchronous interviews, evaluates candidate performance using AI, and provides 24/7 employee support through an intelligent HR chatbot. The solution not only enhances hiring efficiency but also empowers employees with instant access to HR policies, tools, and support. This paper documents the design, deployment, impact, and strategic outlook of the system and offers a replicable framework for modern organizations aiming to scale intelligently.
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