MRV (Monitoring, Reporting, and Verification) automation refers to the use of advanced technologies—such as remote sensing, IoT devices, AI, and blockchain—to streamline and enhance the accuracy of environmental data collection and reporting. In the context of climate policies and environmental regulations, automated MRV systems improve transparency, reduce human error, and lower costs associated with manual monitoring processes. This technological advancement enables real-time data tracking of emissions, deforestation, and other environmental indicators, facilitating more timely and informed policy decisions. Policy implications of MRV automation are significant. Automated MRV can strengthen compliance and enforcement by providing verifiable and tamper-proof data, thereby increasing trust among stakeholders, including governments, businesses, and civil society. It also supports the design of more dynamic and adaptive policies that respond quickly to environmental changes. However, challenges exist, such as ensuring data privacy, addressing technology accessibility disparities among countries, and updating regulatory frameworks to accommodate new technologies. Policymakers must balance promoting innovation with safeguarding data integrity and inclusivity to maximize the benefits of MRV automation in advancing global environmental goals.