Grant

• Identify ways for utilities to overcome key barriers to the adoption of Generative Artificial Intelligence (GenAI) and Agentic AI, including actionable guardrails such as cybersecurity protocols, architectural design options, and redundancy requirements, that help ensure secure AI deployment.
• Identify a minimum of four GenAI pilot applications within the water/wastewater sector and implement each within two additional utilities. Document the transfer process, data governance and data quality requirements, operational insights, lessons learned on reproducibility, and early impacts of each demonstration. One application should focus on knowledge transfer and training.
• Catalogue Agentic AI applications currently in use within the water/wastewater sector and capture key lessons learned and early impacts from each application.
• Reproduce a minimum of one low-effort Agentic AI application at another utility and document the transfer process and lessons learned.

Research Principal: Sydney Samples (ssamples@waterrf.org)