We developed a probabilistic framework to spatially assess the potential for sustainable groundwater development in the arid interior of Australia, based on an explicit definition of sustainability criteria. We iteratively updated the conceptualisation as new information becomes available; the initial desktop-based conceptualisation is updated based on an AEM data and subsequently updated after a drilling campaign. Stochastic grids of hydraulic properties, salinity and water table are generated using data fusion algorithms.