International Journal For Multidisciplinary Research

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Enhancement of HRM practice through AI :TCS chroma

Author(s) JAYASURIYA.U, POUGAJENDY .S
Country India
Abstract This study examines the enhancement of Human Resource Management (HRM) practices through the
integration of Artificial Intelligence (AI) with TCS Chroma at TVS Sundram Fasteners Limited,
Puducherry. It explores how AI-driven solutions can streamline HRM processes, improve
decisionmaking, and address challenges related to workforce management in a dynamic industrial
environment. The research aims to evaluate the impact of AI-enabled HRM systems on employee
productivity, satisfaction, and overall organizational performance.
A structured survey was conducted among 103 employees to collect primary data, adopting a
mixedmethod approach. Quantitative data analysis, supported by statistical tools, was used to assess the
relationship between AI-integrated HRM practices and key outcomes, such as employee engagement,
skill development, and operational efficiency. The study also examines variables like workforce
demographics, technological adaptability, and organizational culture to understand their influence on the
adoption and success of AI-based systems.
The findings highlight the transformative potential of AI in HRM, emphasizing its role in fostering

innovation, optimizing resource allocation, and enhancing employee experiences. This study bridges the
gap between theoretical frameworks and practical applications, offering actionable recommendations for
organizations aiming to leverage AI for HRM enhancements. It concludes by underscoring the
implications for HR professionals in embracing AI-driven tools like TCS Chroma to create adaptive and
future-ready HR practices, contributing to sustainable organizational growth.
Keywords Human Resource Management, Workforce Optimization, Employee Engagement
Field Business Administration
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-27
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33570
Short DOI https://doi.org/g82gjv
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