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The increasing ageing population worldwide imposes some new challenges to the society like the provision of dependable support while facing a shortage in the numbers of caregivers, increased health costs and the emergence of new diseases. As such there is a great demand for technologies that support the independent and safe living of the elderly and ensuring that they are not socially isolated. Ambient Assisted Living (AAL) technologies have thus emerged to support the elderly people in their daily activities, while removing the need of caregivers being always physically present in order to look after the elderly. The current AAL systems are intelligent enough to take critical decisions in emergency situations like a fall, fire or a cardiac arrest, hence the elderly can live safely and independently. In this abstract, we describe our solution that aims at integrating all relevant functionalities of an AAL system, based on feedback collected from representative users. This work is carried out in the European Union project called CAMI (Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL).