This chapter explores more effective and efficient methods for automating seismic risk analysis for built heritage. It first includes a review of major digital platforms developed for risk assessment. Then, it examines how the transition from datalakes to structured and interoperable databases enables advanced processing and integration of heterogeneous data. The chapter further explains how risk analysis automation can be efficiently performed using a multiscale digitalization framework, showing how data acquisition and management can be adapted to different levels of analysis. Expeditious approaches for large-scale vulnerability and risk assessments are presented at urban, compartment, and building levels, while detailed approaches focus on in-depth vulnerability evaluations of individual structures. Together, these methods support informed, data-driven decision-making and strengthen the resilience of heritage assets.