The rapid advancement of Artificial Intelligence (AI) has significantly transformed business analytics, enabling organizations to move from descriptive reporting to predictive and prescriptive decision-making. This study investigates the role of AI-enabled business analytics in enhancing organizational performance within an ERP-based IT organization. A descriptive research design was adopted, and primary data were collected from 100 employees across multiple departments using a structured questionnaire. The findings reveal a high level of awareness and adoption of analytics tools, with ERP-based dashboards, SQL tools, and AI-supported systems being widely used. Business analytics is predominantly applied in ERP operations, project management, and resource planning. The results indicate that analytics significantly improves decision-making, reduces operational inefficiencies, and enhances customer satisfaction. Furthermore, employees strongly support further investment in AI technologies such as predictive analytics and machine learning. The study concludes that AI-enabled business analytics acts as a strategic enabler of organizational effectiveness and competitive advantage. It highlights the importance of integrating advanced analytics tools, improving data literacy, and fostering a data-driven culture. The research contributes to the growing literature on AI-driven analytics and provides practical insights for organizations aiming to leverage intelligent decision support systems.