The evolution of smart workplaces is being accelerated by the integration of Artificial Intelligence (AI) with health management systems, offering transformative potential for sustainable productivity. This paper explores how AI-driven technologies, including machine learning algorithms, wearable sensors, and intelligent automation, can monitor and enhance employee health, predict wellness trends, and reduce occupational stress and burnout. By collecting real-time physiological and environmental data, AI can personalize workplace environments—adjusting lighting, air quality, and workload allocation—based on individual health parameters. Furthermore, AI-enabled predictive analytics support early detection of health issues, facilitating proactive interventions that improve employee well-being and organizational efficiency. The study examines use cases from smart office deployments and evaluates the impact of AI-health integrations on productivity metrics, absenteeism reduction, and employee satisfaction. The paper also addresses ethical considerations, data privacy, and the role of organizational policies in supporting this digital transformation. The findings highlight that a balanced integration of AI and health management not only drives operational excellence but also fosters a resilient, human-centric workplace culture essential for long-term sustainability.