Journal of Advances in Developmental Research

E-ISSN: 0976-4844     Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.

A Study of Reducing HR Redundancy Processes with Agentic AI

Author(s) Ilango Kessavane
Country United States
Abstract In modern Human Resources (HR) management, the necessity to streamline administrative processes and eliminate redundancy has become paramount. This study examines the potential of agentic artificial intelligence (AI) to revolutionize HR operations, with a particular focus on reducing redundant tasks. By employing agentic AI, HR departments can achieve higher efficiency, accuracy, and employee satisfaction. This research investigates various AI models and their applications in automating repetitive tasks such as resume screening, employee onboarding, and performance evaluations. The findings suggest that integrating agentic AI into HR practices not only enhances productivity but also allows HR professionals to focus on more strategic and value-adding activities. Ultimately, this study contributes to the growing body of knowledge on AI's transformative impact on organizational processes, paving the way for more innovative and adaptive HR solutions.
Keywords Agentic AI, Human Resources, HR Automation, Redundancy Reduction, Efficiency, Productivity, AI Models, Organizational Processes
Field Engineering
Published In Volume 16, Issue 1, January-June 2025
Published On 2025-02-05
Cite This A Study of Reducing HR Redundancy Processes with Agentic AI - Ilango Kessavane - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.5281/zenodo.14993242
DOI https://doi.org/10.5281/zenodo.14993242
Short DOI https://doi.org/g87f9g

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