Emergency response is a crucial element of earthquake disaster mitigation strategies, encompassing early warning systems for significant seismic events and immediate post-earthquake safety assessments of building structures. As Indonesia is in a seismically active region, there is a high likelihood that buildings will endure severe damage from strong earthquakes. This study investigates the role of earthquake early warning systems (EEWS) in reducing human casualties and structural health monitoring systems (SHM) in ensuring the safety of buildings following an earthquake. The study evaluates the performance of the first on-site AI EEWS and SHM systems applied to an RC building in Indonesia. The results show that the on-site AI EEWS accurately predicted the peak ground acceleration (PGA) with an intensity of III on the modified mercalli intensity (MMI) scale for the Garut earthquake on April 27, 2024, providing a warning time of 23.7 s prior to the onset of PGA. Additionally, the SHM findings confirmed that the RC building remained structurally safe after the earthquake, as the observed story drift was within permissible limits. This study underscores the exceptional performance of both the on-site AI EEWS and SHM systems during the 2024 Garut earthquake on April 27.