Cdeiqra
Our work/Amperly
Energy & TechCase study

A charging network that runs itself.

Amperly operates an EV charging network on a platform where billing, load management and most support conversations are fully automated.

Network status
1,284 chargers live
⚡⚡⚡⚡⚡⚡⚡
Automated
Billing & reconciliation
ML-driven
Load management
24/7
Automated operations
Voice AI
Driver support
The challenge

Hardware at national scale, operations stuck at startup scale.

Every new charging site added manual work: commissioning, billing reconciliation, grid-load juggling and a support queue full of “why did my session stop?” calls. The ops team was scaling linearly with the hardware — the economics weren't.

What we built

Automation across the whole session lifecycle.

We built Amperly's operations platform end to end: automated billing and reconciliation, ML-driven load management that balances demand against grid constraints, predictive maintenance on charger telemetry, and Grove voice agents handling the majority of routine support calls in twelve languages.

▸Automated billing & reconciliation
▸ML load management & smart scheduling
▸Predictive maintenance on telemetry
▸Grove voice agents for driver support
▸OCPP fleet integration layer
▸Rootwatch predictive monitoring
The outcome

Reliability up, tickets down, ops team flat.

Session reliability stays consistently high while support tickets dropped meaningfully — with voice agents resolving most routine calls end to end. The network has scaled significantly with no corresponding growth in operations headcount.

At a glance
Industry
Energy · EV infrastructure
Engagement
Accelerator → Dedicated team
Scope
Operations platform + voice AI
Team
Embedded pod
Status
Live · 24/7 managed ops
GoKubernetesKafkaTimescaleDBGroveRootwatch
The kind of feedback we build toward

“The network tripled and my ops team didn't grow. That sentence is the whole business case.”

Operations Lead
Amperly
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