Rightcharge, a unified payment solution for all home and public charging, has upgraded its platform with predictive AI that tackles the unique challenges of electric fleets and home reimbursement.

The new predictive AI improves the accuracy and reliability of home charging reimbursements.

Payment systems built for fuel cards were never designed for EVs. They can’t handle the reality of home charging, where data fails and chargers drop offline.

Rightcharge is moving this space forward with its new AI layer, which 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. The result is faster and more reliable reimbursement.

It’s designed for big benefits for drivers too, who don’t have to resubmit claims or chase missing expenses. Finance teams also gain. Every payment is backed by verified data, so disputes are reduced and audit trails are clean.

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.”

Looking ahead, employee reimbursement looks set to become more complicated, with potential for earning revenue from grid flexibility services and trading power with vehicle-to-grid. Rightcharge is laying the technical foundations to get ahead of these changes so that these opportunities don’t become a blocker to fleets making the most of home charging.

Rightcharge’s analytics platform already gives fleets a clear view of charging costs and carbon emissions. The AI layer now handles edge cases, such as incomplete or delayed data from home chargers, so managers can process reimbursements without interruption. Over time, fleet managers can use the platform to forecast spending, monitor trends and shape smarter EV charging policies.