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5 Stage Transformation Model In Use Of Agentic AI Framework In Human Resources

Vishwanadh Raju Kurchellapati,Dr. Saisree Mangu

2025 · DOI: 10.64252/vq2gjx09
International Journal of Environmental Science · 0 Citations

TLDR

A 5-Stage Transformation Model provides a roadmap to evolve from rule-based automation to an adaptive, human-centric HR ecosystem and 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.

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.

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