Developing Ambient Assisted Living (AAL) solutions is a highly multidisciplinary endeavor, involving stakeholders from various fields such as healthcare, engineering, psychology, and social sciences. These projects must integrate data from a variety of heterogeneous sensors and subsystems, making the design and maintenance of AAL platforms a challenging task. This paper explores the use of the CoCo Cognitive Architecture as an integration tool, focusing on its ability to manage, relate, and reason about data coming from diverse sensor sources. The work presents the architectural principles, highlighting its deductive–abductive reasoning capabilities, and discusses its role in providing a common framework for sensor data integration within AAL environments. Preliminary results from the Age-It project suggest that such an approach can reduce complexity, foster collaboration across disciplines, and ultimately enable more intelligent and adaptive AAL services.