Functional Status Information describes physical and mental wellness at the whole-person level. Collecting and analyzing this information is critical to address the needs for caring for an aging global population, and to provide effective care for individuals with chronic conditions, multi-morbidity, and disability. Knowledge Graphs represent a suitable way for meaning in a complete and structured way all information related to people’s Functional Status Information and reasoning over them to build tailored coaching solutions supporting them in daily life for conducting a healthy living. In this paper, we describe the integration of our Functional Status Knowledge Graph, namely FuS-KG, into a real-world application run within a large-scale living lab involving more than 4,000 people. We provide the road map of this experience including the challenges, the platform’s architecture, the focus on the knowledge layer, and the evaluation and insights observed.