Over the past few weeks, we've talked about what 99% uptime really means, why fault codes don't always tell the whole story and how even a correctly diagnosed problem can get stuck between multiple organizations.
There's a common thread running through all of these challenges: reliability depends on making good decisions with the right information.
We've spent years talking about uptime as the goal. And it should be. But you can't manage a charging network by staring at an uptime percentage and hoping it moves in the right direction. You have to understand what's happening underneath that number.
When a charger stops working, what happens before the failure? What is the asset actually telling you? Have we seen this behavior before? Can we solve the problem remotely? If we need a technician, do we understand the root cause well enough to send that person with the right information, tools and parts?
And once an issue moves between organizations, does everyone have the same information and understand who needs to act next?
That's operational intelligence.
It means turning all of the information coming from charging infrastructure into something people can actually use to make better decisions.
We've talked before about ChargerHelp's Intelligence Before Dispatch approach. The basic idea is simple: understand as much as you can about the problem before sending someone into the field. Sometimes that means resolving an issue remotely. When a truck roll is necessary, it means giving the technician a much better starting point.
But diagnosis is only one piece of the puzzle.
Reliability also depends on what happens after the root cause is identified. Hardware manufacturers, software providers, site hosts, service organizations and other partners may all have a role in getting a charger back online. If the data doesn't move with the problem or nobody knows who owns the next step, time keeps adding up.
This isn't a challenge ChargerHelp is looking at alone. The Joint Office of Energy and Transportation's ChargeX Consortium has been working with national laboratories and industry stakeholders to improve diagnostic data sharing and create a more consistent approach to identifying and resolving charging problems across the ecosystem.
That's the direction I believe the entire industry needs to keep moving.
At ChargerHelp, it's also the thinking behind EMPWR.
EMPWR brings together data across hardware, software and service activity to help us understand how charging assets behave, connect that behavior to what happens in the field and learn from the outcome. That creates a feedback loop: observe the asset, identify the likely root cause, take action, understand whether that action worked and use what we learned to inform the next decision. ChargerHelp describes the platform as connecting fragmented data across vendors and protocols while using those signals to support root-cause identification, remote resolution and more precise dispatch.
The more we learn about these assets, the more useful that feedback loop becomes. And that's increasingly important as chargers themselves become more sophisticated, aging infrastructure introduces new maintenance challenges, and charging assets become more connected to other smart energy systems.
Getting to 99% uptime isn't about finding one silver bullet. It's about getting better at making thousands of decisions across a charging asset's lifecycle.
Better evidence. Better diagnosis. Better coordination. Better decisions.
That's the data-driven path to reliability.
Register for our September 17th event now to hear from our co-founder and CEO, Kameale Terry, on the forthcoming 2026 Reliability Report, offering industry leaders a view of a future where charging downtime is minimized and operational efficiency is maximized.
