Rightcharge adds AI to handle complex home charging data

EV charging platform Rightcharge has added a layer of predictive AI to improve the accuracy and efficiency of home charging reimbursements for fleets.

The AI-enhanced platform addresses long-standing issues with traditional fuel card-based systems, which struggle with the realities of home EV charging, such as missing data, offline chargers, and delayed receipts. 

Rightcharge’s new system predicts where data is missing or inconsistent and identifies issues before they become a problem. If a charger cuts out mid-session, the system can predict the cost and then update it once the receipt becomes available. If data arrives late or looks unusual,
anomalies are flagged before they become admin nightmares.

For drivers, the upgrade means fewer headaches - no need to chase expenses or resubmit claims. Reimbursements are processed on time and in full. For businesses, every payment is backed by verified data, improving transparency and reducing disputes.

The upgrade is also a step toward the future of fleet energy management. With trends like vehicle-to-grid and grid flexibility services on the horizon, Rightcharge says it’s laying the groundwork to ensure these new capabilities don’t become blockers for fleets embracing home charging.

Alongside reimbursement, the platform continues to offer analytics tools for tracking costs and emissions. Now, with AI handling edge cases and late-arriving data, fleet managers can process reimbursements seamlessly.

Charlie Cook, CEO of Rightcharge, said: “Fleet managers have been stuck with tools built for fuel cards in a world that increasingly runs on electricity. By adding AI, we’ve advanced what reimbursement software can do. Fleets get accuracy with less admin, and drivers know they’re paid correctly for every kWh charged at home.”

^{Image shows Charlie Cook, CEO of Rightcharge.}