The Nature Conservancy (TNC), through its newly created Brightstorm program, has launched its first-ever national stormwater management strategy. With the major advancements in computing power, and rapidly evolving Artificial Intelligence (AI) and Machine Learning (ML) models, we can now use these tools to gain a nuanced understanding of the interplay of sub-watersheds and how they work as a cohesive unit. This more sophisticated awareness brings an opportunity to begin to modify and coordinate behaviors of stormwater ponds within these watersheds to repair hydrologic function that improves water quality, reduces erosive flows, and minimizes flooding through an approach we call Smart Watershed Network Management (SWNM). TNC is partnering with the engineering firm Arup to create the world’s first SWNM model, implementation framework, and pilot installation to reduce nutrient loading in Florida’s Indian River Lagoon (IRL). The approach involves creating “digital twin” watershed components, which leverage AI and ML techniques to enhance the usability of physics-based models. Speakers will present our progress to date, including the updates on the development of the AI/ML processes, the selection of the pilot locations, the baseline monitoring results, and the future project scalability outside of Florida.