This study investigates the transformative potential of AI-powered workplace wellness programs in enhancing employee well-being and organizational performance. It aims to establish the causal relationship between AI-driven wellness initiatives and key productivity metrics across 60 medium-to-large firms from diverse sectors. The research adopts a 24-month longitudinal mixed-methods approach, integrating quantitative data—such as employee surveys, health indicators, and output metrics—with qualitative insights from focus group discussions involving human resource managers and program users. AI-driven wellness programs reported significant improvements in employee health and productivity. Key outcomes include a 35% reduction in stress-related absenteeism, a 40% decrease in burnout cases, and a 50% increase in employees experiencing a positive work–life balance. Enhanced organizational performance metrics were observed, including a 25% decline in absenteeism rates and a 30% rise in self-assessed productivity. The study identifies essential enablers for successful implementation, such as AI personalization, leadership endorsement, mental health integration, and continuous performance analytics. This research bridges a critical gap in existing literature by providing empirical evidence of how AI technologies can revolutionize workplace wellness. It offers actionable strategies for HR professionals and organizational leaders to harness AI’s potential in creating a healthier, more productive workforce.