Case Study · WaterUp
Annual CCR reports used to take days. Now under four hours.
AI-powered Consumer Confidence Report builder for U.S. water utilities — 13+ templates, anomaly flagging, print-ready regulatory output. 2.5 months to production.
Status: Coming soon / in beta. Built for EPA Safe Drinking Water Act compliance.
Last updated:
Problem
The challenge
Every U.S. water utility must produce an annual Consumer Confidence Report. For small and mid-sized municipalities, that meant weeks of manual work — pulling data from disconnected sources, applying templates, cross-referencing state requirements.
Outcome
What we built
We built an AI-powered CCR report builder from scratch. The core is a template engine with 13+ pre-built templates. The AI-assisted data entry layer interprets and places data, flags anomalies, and prompts for required fields. Output is regulation-compliant and print-ready, with multi-municipality support from day one.
- →AI-powered CCR report builder
- →13+ pre-built compliance templates
- →AI data entry + anomaly flagging
- →Print-ready regulatory output
- →Multi-municipality account support
Tech stack
Full stack used on this build
Screenshots
Product in context
Talk to an engineer
30 minutes. You'll leave with a rough scope and a real timeline — whether or not you work with us.
