This paper proposes a framework of disaster management that incorporates artificial intelligence (AI) to improve the response time, the accuracy of risk assessment, and the recovery processes while considering sustainability goals. The suggested framework incorporates state-of-the-art technologies like predictive modeling, geospatial analytics, robotics, IoT, and big data systems for effective disaster management coordination, including mitigation, preparedness, response, and recovery. Based on the analysis of numerous research works, the advantages and disadvantages of using AI in disaster environments are identified, and issues concerning ethics, data privacy, and trust are addressed. The framework’s real-life application is illustrated with the help of a real-life case study of the 2024 Morocco floods, from which it is deduced that predictive models and geospatial analysis are crucial in enhancing community resilience. This work helps in the evolution of an efficient disaster management framework that can be used on a global level and provides a realistic approach to how AI can be implemented in the current framework.