Case Study
A large investor-owned utility in the southwestern U.S. is illustrating how utilities can move from data readiness to operational impact. Despite significant investments in AMI and cloud infrastructure, the utility needed a way to maximize ROI while keeping data securely within its own environment. By deploying Bidgely’s utility-specific AI, the organization is laying a foundation for scalable, secure AI-driven use cases across its enterprise.
UtilityAI applies patented machine learning models to billions of data points—transforming raw AMI data into actionable intelligence such as appliance- and DER-level disaggregation, enabling utilities to move from data accumulation to confident operational decisions.
As EV adoption, electrification, and DER growth accelerate, domain-trained AI supports forecasting, planning, and grid resilience. Utilities gain the intelligence needed to anticipate demand, align assets, and reduce costly infrastructure surprises.
By targeting high-value operational use cases—from demand-side management to non-wires alternatives and revenue protection—the utility expects 5–10× ROI, turning foundational IT investments into measurable, enterprise-wide outcomes.
Discover how purpose-built machine learning models deliver 10X deeper insights into customer and grid data—boosting program ROI, strengthening grid reliability, and accelerating innovation.
