Natural disasters (NDs) are becoming increasingly frequent, often causing severe disruptions in urban areas. Managing these events throughout their life cycle requires addressing their unique characteristics, varying intensities, and unpredictable progression. This involves complex analyses, planning, coordination, and monitoring based on extensive information and the collaboration of multiple actors, including civil defense teams, hospitals, armed forces, and firefighters. Collaborative Decision Support Systems (CDSS) can aid in managing such complexity and supporting group decision-making. However, actors remain responsible for interpreting data and making final decisions before many possible alternatives, which are prone to errors and delays due to the high volume of information and the stressful conditions typical of disaster scenarios. To address this challenge, the paper proposes integrating Generative AI (GAI) into CDSS to enhance human decision-making during certain phases of disaster management. A software prototype focused on wildfire-related climate disasters has been developed to demonstrate the approach’s potential. The paper concludes with preliminary results and suggests directions for future research.