Effective water resource management is one of the most critical challenges for organisations as increasing water scarcity and climate change can complicate business continuity and business continuity. This study presents a systemic approach based on intelligent systems for optimising water consumption in the organisational environment. Three systemic models were developed that make use of discrete event simulation using the Monte Carlo method and System Dynamics, in which water supply, consumption and recycling are evaluated under various uncertainty scenarios. The results show the integration of advanced analytical tools allowing the identification of critical points, operational risk analysis and the proposal of highly sustainable solutions. Offering organisations an effective roadmap for the correct implementation of effective and resilient policies in the face of climate change and water scarcity.