Abstract
The integration of Artificial Intelligence (AI) in Human Resource Management (HRM) has evolved from basic automation to intelligent augmentation. However, the emergence of Agentic AI — AI systems capable of autonomous goal setting, reasoning, adaptation, and collaboration — marks a paradigm shift in how HR functions are designed and delivered. Unlike traditional AI that supports decision-making, Agentic AI actively initiates and executes complex HR tasks, from intelligent talent acquisition to dynamic workforce planning, with minimal human intervention. This transformation demands a structured framework to guide organizations through the progressive maturity of AI capabilities. A 5-Stage Transformation Model provides a roadmap to evolve from rule-based automation to an adaptive, human-centric HR ecosystem. The model encapsulates stages from digitization and data-driven insights to conversational AI, autonomous agents, and finally, a fully adaptive HR architecture that balances efficiency with ethics and empathy. As organizations strive to remain competitive and employee-centric in an increasingly complex environment, adopting Agentic AI within a transformation model becomes not only a strategic advantage but a necessity. The structured evolution in harnessing the full potential of Agentic AI will redefine the future of Human Resources.
Cite
CITATION STYLE
Kurchellapati, V. R., & Mangu, Dr. S. (2025). 5 Stage Transformation Model In Use Of Agentic AI Framework In Human Resources. International Journal of Environmental Sciences, 1064–1075. https://doi.org/10.64252/vq2gjx09
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.