The WaterTales project focuses on creating an artificial intelligence system for generating and personalizing narrative multimedia content—including visuals and audio—in the context of urban water management. Key features include the automatic generation of content based on available data and predictive models, personalization tailored to user needs, and interactivity to actively engage users. The goal is to offer detailed and informative narratives to improve engagement and understanding of the information conveyed. Examples of applications include generating reports on water consumption or water level trends in streets, with timely notifications in the event of flood risk to improve urban safety. The primary users are policymakers and citizens with specific needs requiring a personalized approach. The system will be integrated into a web platform with dashboarding tools to ensure clear access to multimedia content. The project’s scientific methodologies include data analysis, the development of semantic engines, AI models, and strategies for content delivery. Best practices are followed in each area to ensure the effectiveness and innovation of the activities. The necessary activities include researching and defining AI models for the creation and customization of multimedia content; researching and defining the content delivery system; and developing, integrating, and testing the content delivery platform. WaterTales aims to improve access to and understanding of complex information in the urban water sector, with significant economic, social, environmental, and scientific impacts. The integration of advanced technologies and a multidisciplinary approach ensure innovative and relevant results to improve water resource management and urban safety.