Most AI projects at treatment plants don't fail because of the AI. They fail because of the data underneath it, and because operators don't trust what they're seeing.
The Paseo Real WRF team in Santa Fe andAquasighthas been putting plant data and AI to work, and the team shared what they learned. Five lessons:
→ Validate the data before adding intelligence on top of it. → Involve operators from day one, not at go-live. → Trusted context beats more data. → Operators make the call. The system supports it. → Roll out in phases. Confidence compounds.
The conclusion: "Data quality and operator involvement, more than the technology itself, determined whether the tools were trusted and used." That's the difference between using AI and building a system.