AI-Warn aims to develop a specialized, holistic early warning system (EWS) for climate-induced hazards, such as geo-related instabilities in upland Europe and urban floods in lowland Europe. By leveraging remote sensing, Earth Observation (EO) and UAV technologies, IoT-based embedded sensors, and AI-driven data analytics for the EWS decision layer, the system will support emergency responders, infrastructure managers, and local authorities in making timely, evidence-based decisions to safeguard lives and assets. The project will actively engage communities through targeted awareness campaigns and crowdsourcing initiatives, promoting preparedness and fostering local participation. AI-Warn will be linked with the Copernicus Emergency Management Service (CEMS) On-Demand Preparedness Mapping, ensuring that real-time geospatial intelligence enhances decision-making during critical events. Focusing on regions already experiencing the impacts of climate-related hazards, including Dubrovnik (representative of upland Europe) and Brussels (representative of lowland Europe), AI-Warn will embed local knowledge into a region-specific EWS framework that is interoperable with the existing IT systems of relevant stakeholders. In doing so, the project directly addresses the core objectives of the KAPP call: increasing risk awareness and establishing an effective, integrated early warning system.