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 integrating cybersecurity protocols into operations, implementing secure development practices into model training and deployment, and adopting and applying the National Institute of Standards and Technology AI risk management framework core functions, which help ensure secure AI deployment (NIST 2016).
• Identify a minimum of four unique and meaningful GenAI pilot applications within the water/wastewater sector and implement each application at 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 one low-effort Agentic AI application at another utility and document the transfer process and lessons learned.

WRF RFP Contact: Sydney Samples

For instructions on how to submit proposals, refer to these instructions or this video.

The Potential Participants listed at the bottom of this page have indicated interest in participating in this research. This information is updated frequently as utilities are encouraged to volunteer throughout the RFP cycle.