AI Energy Audit Automation

The Problem

“Automate energy audits to cut waste faster”

Organizations face these key challenges:

High labor cost and long lead times for qualified auditors, limiting audit frequency and portfolio coverage

Data fragmentation across utility portals, BAS/BMS, submetering, CMMS, and spreadsheets causing delays and inconsistent baselines

Inconsistent recommendations and savings estimates across auditors, making capital prioritization and M&V difficult

Impact When Solved

3–5x more sites audited per year with the same headcount via automated data ingestion, anomaly detection, and report generation40–70% lower cost per audit and 60–80% faster turnaround, enabling faster CAPEX decisions and operational fixes5–15% energy reduction opportunities systematically identified and tracked with automated M&V, improving ROI confidence and compliance reporting

The Shift

Real-World Use Cases

Smart Grid Management and Optimization

A smart grid is like upgrading from an old landline to a modern smartphone for your electricity network. Instead of just pushing power one way from big plants to homes, the grid becomes two‑way, with sensors and software that can see what’s happening in real time, shift loads, use home batteries and solar panels, and prevent or shorten outages.

Time-SeriesEmerging Standard

9.0

AI in Energy Industry: Smart Grid Optimization and Energy Management

This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.