Whilst Connected and Autonomous Vehicles (CAV) hold the promise of relegating the driver to passenger by transforming vehicles into intelligent platforms able to ‘read’ and ‘sense’ their environment. A corollary of this is that not only will these vehicles transform how people get from A-to-B, they will be a major source of information which could have application far beyond enabling the vehicle to navigate safely.  Amey and RACE, with support from the UK Centre for Connected and Autonomous Vehicles, have carried out a feasibility study that explored how the regularly updated asset map of roads, footways, verges, vegetation and street furniture that a CAV generates could be integrated into existing service delivery tasks like road-based asset inspection and vegetation maintenance. This paper sets out the initial analysis of the results obtained and shows where, and how, the step change in the quantity of available data could transform asset inspection.