Volta Energy monitors 1,200+ meters and runs billing, without anyone watching.
An autonomous agent that ingests hourly meter readings, flags consumption anomalies, runs the monthly billing cycle, and triggers invoicing, end-to-end, zero manual steps.
A two-person ops team was manually managing data from over 1,200 meters every month.
Meter readings arrived daily from the grid operator. Staff downloaded CSVs, checked for missing reads, spotted obvious anomalies by eye, and then manually compiled monthly billing files. Billing errors caused customer disputes. Anomalies caught late meant costly correction cycles. The team was operating at capacity with no room to add new meters without hiring.
An autonomous agent that runs the entire meter-to-invoice cycle without human steps.
Data ingested daily. Anomalies flagged before they become billing errors. On billing day, the agent runs the full cycle and pushes validated invoices to the ERP. The ops team reviews exceptions, not every record.
Meter data pipeline connected
Hourly consumption readings from 1,200+ smart meters pulled into Postgres via the grid operator API. Missing reads flagged automatically and re-fetched before end-of-day.
Anomaly detection layer built
Statistical model identifies consumption spikes, drops, and flatlines at the meter level. Each anomaly tagged by severity, probable cause, and recommended action before it reaches an engineer.
Monthly billing agent deployed
On the first of each month, the agent aggregates consumption data, applies tariff logic, cross-checks against contract terms, and produces validated billing files, ready for the finance system.
Invoicing trigger wired
Validated billing files pushed to the ERP automatically. Invoices generated and dispatched to customers. Exceptions escalated to the billing team with the discrepancy clearly flagged.
Billing runs itself. The team handles exceptions, not data.
Missed billing cycles
Every monthly billing run completed on time since deployment. No manual intervention required to trigger it.
Admin time recovered
The two-person ops team reclaimed 18 hours per week previously spent on CSV handling, anomaly checks, and billing compilation.
Meters monitored daily
Every meter checked every day. Anomalies surfaced to the ops team the same morning they occur, not at month-end.
Days to production
From kick-off to a live agent processing real meter data and running the billing cycle.
The smallest stack that solved the problem.
An agent that runs
your recurring process.
30-minute call. We'll map your highest-volume recurring workflow and scope the autonomous agent, free, no deck.