Throughout the history of humankind, in parallel with the progress of civilizations, the techniques and methods for analyzing structures in construction have undoubtedly progressed. As a tool of the latest date that finds application in undoubtedly every sector of construction, is the use of tools from machine learning – a branch of artificial intelligence. The tool offers opportunities for use in construction for optimization of structures, safety analysis, cost analysis and construction cost optimization, as well as help in their real time daily management. Undoubtedly, these machine-learning tools can be applied to dam and reservoir engineering as well as water management. As complex systems with deterministic output and stochastic input, machine-learning tools can help in all phases – from planning, construction, and operation to management of water systems. In this paper, the application of machine learning tools with analyses in the SOLDIER application in decision-making in the management of a complex water management system is described. A case study has been prepared for a part of the Crna Reka basin in RN Macedonia. In addition to the SOLDIER application, the HEC ResSim software was used to generate input and output data in the management of the systems – data used to train the model in SOLDIER.