The Maryville Water Treatment plant expansion project is leveraging state-of-the-art 3D modeling technologies to provide a detailed and accurate representation of the existing infrastructure and its surrounding environment, which is essential for the effective planning and design of the expansion. The core of the data acquisition process involved the use of a 3D terrestrial scanner to capture high-resolution point cloud data of the plant’s interior and structural components. This data was then processed in Edgewise software, which facilitated the extraction of precise, usable models for integration into Autodesk Revit, allowing for detailed design and analysis. In addition to terrestrial scanning, a LiDAR-equipped drone was deployed to capture topographic data and gather locational data of the existing infrastructure outside the treatment facility. This aerial mapping approach provided crucial information regarding site conditions, topography, and the spatial relationships of surrounding structures, further enhancing the overall model accuracy. To complement the 3D spatial data, ESRI GIS software was utilized to compile asset management information, focusing on the plant’s existing infrastructure and identifying potential assets for replacement or optimization. This integration of spatial and asset data ensured that the model not only reflects physical reality but also supports informed decision-making regarding asset management and system improvements. By combining terrestrial scanning, drone LiDAR, GIS asset management, and advanced modeling software, this approach allowed for the creation of a comprehensive, multi-dimensional representation of the water treatment plant. This model serves as a critical tool in the planning, design, and execution phases of the expansion, offering a precise, data-rich foundation for optimizing capacity while reducing risks, costs, and design time.