The growing number and intensity of climate-related disasters demand the design of new and sustainable disaster management solutions. This study investigates the potential to strengthen the Morocco Flood and Drought Monitor (MFDM) through artificial intelligence in order to shape a new generation of disaster management tools. The study introduces a framework integrating predictive analytics, real-time monitoring, and decision support systems, leveraging the extensive data warehouses of the MFDM for improved preparedness, response, and prevention of disasters. The proposed model aims to mitigate the socio-economic effects associated with water-borne disasters while at the same time building the resilience of affected communities. By utilizing knowledge derived from successful international models, the present study presents a structured way of leveraging artificial intelligence for promoting effective and sustainable disaster management strategies.