This chapter provides an integrative and critical synthesis of the research conducted in this research, drawing together its conceptual, methodological, and empirical contributions. It culminates in a comprehensive discussion of the proposed AI-driven decision support framework, including its theoretical grounding, technical implementation, and demonstrated performance across multiple application domains. Building on preceding chapters, the discussion interprets the overall research outcomes, compares the results of the two case studies, and evaluates how effectively the research objectives and questions have been addressed. It also assesses the framework’s scientific and practical contributions, with particular emphasis on its methodological rigor, explanatory capacity, and potential for generalization across domains.