Authors - Cheng Cheng, Chuanchen BI Abstract - The increasing reliance on Information and Communication Technology (ICT)-driven intelligent systems has transformed organizational decision-making processes, enabling more efficient, data-driven, and adaptive strategies. These systems, which encompass artificial intelligence, machine learning, and decision support tools, have revolutionized how businesses process and analyze vast amounts of data to inform strategic decisions (Cheng et al., 2017; Yoo & Lee, 2020). This paper presents a strategic framework for integrating ICT-driven intelligent systems into organizational decision-making, addressing key challenges such as technological compatibility, organizational resistance, and alignment with strategic goals (Patel & Sharma, 2019; López et al., 2019). The main objective of this study is to develop a comprehensive and practical framework that organizations can adopt for successfully integrating intelligent systems into their decision-making processes. The research aims to bridge the gap between existing theoretical models and practical applications by proposing a step-by-step process that involves assessing organizational readiness, selecting appropriate systems, ensuring seamless integration, and fostering continuous improvement (Ahmad et al., 2021; Pereira et al., 2021). The methodology employed includes qualitative case studies from diverse industries, supplemented with a review of relevant literature and theoretical models such as the Technology-Organization-Environment (TOE) framework (Tor-natzky & Fleischer, 1990) and the Resource-Based View (Barney, 1991). The findings suggest that successful ICT integration is contingent upon a well-planned, strategic approach that aligns technological capabilities with organizational goals and promotes an adaptive organizational culture (Brinkman & Möller, 2018). The implications of this study are far-reaching, offering valuable insights for managers and policymakers to overcome integration barriers and optimize decision-making using intelligent systems (Hossain & Kaur, 2021). This research contributes to the growing body of knowledge on ICT integration in decision-making, offering both theoretical advancements and practical guidelines for successful implementation.