This presentation discusses an automated quality control process for lidar data developed by Merrick & Company. The process checks lidar point clouds against 29 criteria from the USGS Lidar Base Specification. It produces reports and derivative data to evaluate absolute and relative accuracy, point density, spatial distribution, filtering, and more. The modularized workflow can analyze entire datasets quickly without manual labor. This provides a comprehensive QC solution for data providers and clients to help ensure quality and accelerate project timelines.