Revolutionizing Non-Revenue Water Loss Flashcards
(20 cards)
Ice-breaker line?
“We’re turning hidden water loss into visible savings with easy-to-use AI.”
How much treated water slips away in North America?
Roughly 16 % of what we’ve already pumped and paid to clean.
What does that waste cost utilities each year?
About $3.4 billion in lost revenue and energy.
Biggest headaches utilities mention in workshops?
Chasing leaks after the bill shock • Data locked in separate systems • Too much manual SQL • Tight capital budgets.
What’s the data hub that pulls all those systems together?
Xylem Data Lake (XDL)—think of it as one big filing cabinet for every meter, sensor and GIS layer.
Name of the AI helper that sits on top?
InsightAI—it reads the data and flags weird patterns for you.
One-liner on hardware needs?
“Uses the FlexNet radios you already have—no truck rolls, no meter swap-outs.”
Step 1 in the leak-finding loop?
Hour-by-hour meter reads land in XDL automatically.
Step 2?
AI looks for flow patterns that don’t match the norm.
Step 3?
It estimates gallons (and dollars) at risk so you can triage.
Step 4?
Generates a plain-English action note—no dashboards required.
Step 5?
If you want, it pushes a ticket straight to your work-order system.
Speed benefit in one phrase?
“Days, not weeks.” You learn about the leak before the customer does.
Typical water saved on a quarter-inch leak?
Over 90 % of the would-be loss.
Weekly staff time to babysit the model?
Under one hour for quick checks.
MVP focus & timing?
Q3 ’25: fast-find leaks and natural-language data queries.
What’s next after the MVP?
Q4 ’25: roll out to more utilities and add RF/cellular meters.
2026 headline feature?
Predict which pipes or pumps will fail before they do.
Easy call-to-action for listeners?
Join the limited-beta pilot or grab the QR code for a deeper demo.
Closing gratitude line?
“Every drop we save today protects tomorrow’s supply—thanks for partnering with us.”
