While many external factors influence resiliency, weather remains the single greatest threat to the electric power grid. When damage occurs, it is very time-consuming and costly to identify due to the vastness of T&D infrastructure and continued reliance on human teams to “walk the line” and physically inspect assets. In collaboration with Entergy and other utilities, we have developed a total solution to the problem of post-storm recovery that is currently being tested and deployed to hurricane-prone service territories in the southern United States. By leveraging flight vehicles, light detection and ranging (LiDAR) sensors, and machine learning, the time of post-storm damage assessment is reduced from days and weeks to hours. The presentation will offer an overview of the solution, how it works, its engineering, and a discussion of results to date.