The great majority (more than 2/3) of power outages are caused by contact from vegetation to an active power line, with the added risk of fire and public safety. The goal for utility companies is to manage the vegetation near their above-ground infrastructure in order to reduce these types of contact during inclement weather. This session will discuss an AI-driven vegetation management solution, using LiDAR and satellite imagery to determine the highest risk areas of a utility's service area. Our approach is able to give insights across a service territory, by line down to the foot level as far as how close a branch may be to a power line. This work will enable them to shift from cycle-based to condition-based trimming. We will go over the data used, the various technical challenges, and our approach to scale the solution.