CTET is very involved in developing AI-based technologies for application in the environmental area. Examples include the development of Digital Twins of our water and wastewater treatment technologies which, when coupled to augmented reality/virtual reality (AR/VR) devices, provide interactive methods to facilitate training of personnel and the development of Smart Twins that incorporate computational fluid dynamics (CFD) and chemical kinetic models. We are also developing machine learning to assist in the design and operation of membrane bioreactors and reverse osmosis plants, particularly in relation to managing fouling and minimising energy consumption. Through our close links with UNSW researchers, we are also using deep learning coupled to X-ray microtomography for 3D mineral characterisation with this information critical to our R&D on acid mine drainage and natural hydrogen generation.