<![CDATA[The rapid advancement of Artificial Intelligence (AI) has significantly transformed Human Resource Information Systems (HRIS), enabling organizations to improve workforce management through intelligent automation, predictive analytics, and data-driven decision-making. In the context of Industry 5.0, organizations are encouraged to integrate advanced digital technologies while maintaining a human-centered approach that emphasizes employee well-being, innovation, and organizational resilience. This study aims to explore the role of AI-driven Human Resource Information Systems (HRIS) in enhancing employee performance and organizational agility. A qualitative case study approach was employed to obtain an in-depth understanding of AI implementation in human resource management. Data were collected through semi-structured interviews, organizational documents, and a review of recent literature, and were analyzed using thematic analysis. The findings indicate that AI-driven HRIS improves employee performance by supporting more accurate recruitment, personalized learning and development, efficient performance evaluation, and evidence-based managerial decision-making. Furthermore, AI-supported HRIS enhances organizational agility by strengthening strategic workforce planning, accelerating organizational responses to environmental changes, and improving adaptability in dynamic business environments. However, the successful implementation of AI-driven HRIS depends on organizational readiness, employee digital competencies, ethical AI governance, and leadership commitment. This study contributes to the Human Resource Management literature by providing insights into the integration of AI-driven HRIS within the Industry 5.0 framework and offers practical recommendations for organizations seeking sustainable digital transformation through intelligent human resource management.]]>
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