The Role of Artificial Intelligence in HR Analytics: Assessing Effects on Employee Taxation, GST Processes, and Organizational Compliance

Abstract

Artificial Intelligence (AI) is transforming Human Resource Analytics by enabling intelligent automation of payroll management, employee taxation systems, and regulatory compliance processes. Organizations increasingly deploy AI-driven HR analytics platforms to enhance payroll accuracy, improve Goods and Services Tax (GST) reconciliation, and strengthen organizational compliance governance. This study develops an empirical analytical framework examining how AI adoption in HR analytics influences employee taxation efficiency, GST operational performance, and institutional compliance outcomes. Using quantitative analysis based on organizational survey data (N = 300), the research applies factor analysis, regression modeling, and structural equation modeling to evaluate causal relationships among AI adoption, payroll automation, taxation accuracy, and governance performance. Findings indicate that AI-enabled HR analytics significantly reduces payroll errors, improves GST compliance efficiency, and enhances regulatory transparency. The study contributes to digital governance and HR analytics literature by integrating taxation systems within AI-driven organizational compliance frameworks.

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