National Highways and many other road operators are increasingly under pressure to decarbonise, improve safety and keep networks moving, while managing ageing assets and maintaining asset records. The National Highways Lighting Asset Inventory Survey (LAIS) project showed how connected data capture, machine learning and geospatial analytics can deliver an efficient and safe inventory survey, at a national scale, to support effective asset management.