Our research shows that Digital Audio Broadcasting warning systems are effective in Norwegian rural settings when implementing specific audio parameters and message strategies. Five case studies address the development and testing of public warning systems. The authors researched the first case and selected four others for comparison supported by the AI-tool Elicit. The problem to be solved is to find a method with accompanying products and services to be able to alert and evacuate the population/public regardless of nationality in a range of different events. Research question: Uncover user needs and validate components and the fully integrated system. Field tests in a Norwegian rural school and in two municipal centers, showed that a Digital Audio Broadcasting system works well when short, repeated, and multilingual audio messages are used. An avalanche warning service spanning 21 regions in Norway and Svalbard received positive user feedback when messages offered detailed, comprehensible information. An observational study of wildlife warning systems at 29 railway sites in Norway and Sweden recorded an 88% response rate to human voice alerts. A literature review on medicine overdose warning systems noted that integration with existing monitoring infrastructure promotes rapid alerting, and a case study across 26 Norwegian municipalities revealed how risk and vulnerability analyses guide system adaptation to local conditions. These studies imply that public warning systems can meet varied emergency scenarios. Adjustments in signal delivery and tailored message strategies are essential for success across environments and risk profiles. Key findings: 1. Integration of existing systems should be prioritized over creating new infrastructure. 2. Investment in competence development and training is crucial for effective implementation. 3. User involvement should be incorporated throughout system development and deployment.