Would you bet on your meter billing accuracy? Most utility leaders wouldn’t, and for good reason. Only one in six trust their numbers. Two-thirds are still replacing meters on age alone, not on evidence. And most have no real read on how much revenue their aging meters are quietly costing them.
That uncertainty carries a price. Under-registering meters bleed billable revenue long before anyone notices, and by the time the meter is replaced, that revenue is already gone.
Join VODA.ai’s Cory Sides and Ben Schroeder for a candid conversation on what it actually takes to trust your meter data, and how AI-driven meter accuracy analytics turns that uncertainty into a defensible, revenue-protecting plan you can act on.
Key Takeaways:
- What most utility leaders get wrong about their own meter accuracy.
- Why age-based schedules and random sampling miss the real losses.
- How to translate Volume at Risk into gallons and dollars for confident capital decisions.
- How to catch under-registering meters before the revenue is gone.
- Where to start, using the data you already have.
