Accurate mapping of underground utilities is essential to prevent conflicts, enhance safety, and avoid costly delays in construction projects. However, early-stage planning often relies on incomplete, record-grade data that lacks continuous, high-accuracy spatial detail. This study presents a lightweight, GIS-based screening workflow that integrates Google Earth KML pipeline centerlines with CAD master plan layouts to identify potential proximity conflicts during the concept phase. The approach prioritizes locations for targeted high-accuracy verification, complementing traditional Subsurface Utility Engineering (SUE) practices. Through a case study of an institutional campus in India, the workflow demonstrates how geoprocessing of record-grade inputs can produce georeferenced outputs aligned with GNSS-validated data, supporting early coordination and risk management. This method enhances planning efficiency by focusing investigative resources on critical areas, reducing unnecessary subsurface exploration, and improving decision-making in Greenfield infrastructure development.