Scaling Load Management with HARMON-E Headless

For a top-tier CPO running thousands of charge points across brands, markets, and hardware vendors, the limit isn't what your platform can do. It's whether it runs programmatically, at your scale, inside your own systems.

Increasingly, the thing doing that isn't a person, it's your own AI agents and analytics. Which leaves one question: can your platform be run by software?

That's the gap HARMON-E Headless closes: the same Enable, Optimise, and Aggregate capabilities, exposed as three building blocks over one HARMON-E Datalake. Configure sites in bulk. React to events in real time. Feed your own BI and AI tools directly, so they run the network instead of just reporting on it.

The grid utilisation gains, avoided upgrades, and flexibility revenue HARMON-E already delivers become repeatable across your whole portfolio, and measurable in your own analytics. No dashboard. No lock-in.

In this masterclass, we'll show what that looks like in practice: what you can build on FLEXECHARGE, what stops being manual once the API handles it, and where the platform takes over entirely.

One example: API Presets let you define a site setup once and apply it anywhere, without re-entering the same configuration by hand.

FLEXECHARGE becomes infrastructure you build on, not just a tool you log into.

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What you will learn:

• what running FLEXECHARGE headless means day-to-day, and what becomes possible once you build on the API instead of the interface
• how configuration, monitoring, and site management shift when they run through your own systems instead of ours
• how API Presets turn repeated, per-site setup into a one-time definition you apply anywhere

What this unlocks as you scale:

• Your team stops watching a dashboard and starts hearing about problems the moment they happen, across a portfolio of any size, through your own systems.
• Onboarding becomes a portfolio-wide action instead of a per-site one, so growing from 50 sites to 500 doesn't mean growing your ops headcount to match.
• Your reporting runs on your own BI stack instead of ours, so performance data fits however your organization already tracks it, not how we've built our dashboard.