This paper explores how components of Computational Thinking (CT) and concepts from Artificial Intelligence (AI) can be applied to enhance support work for disabled children. The study investigates the integration of rule-based systems, natural language processing (NLP), and pattern recognition techniques to model behavioural patterns and inform decision-making in care-environments. Drawing from both theoretical and applied research, the paper proposes a hybrid AI framework through expert systems with basic machine learning models to support the identification of triggers and suitable interventions for challenging behaviours.