LONDON — The global EV charging industry is facing a scaling paradox: as networks grow tenfold, the complexity of managing thousands of disparate hardware units is outstripping the capacity of human engineering teams. Today, London-based EV charging platform Monta signaled a definitive end to the era of reactive maintenance with the launch of Monta AI, a proactive operational intelligence layer designed to manage network health in real-time.
Embedded directly into the Monta platform, the new AI suite marks a transition from manual troubleshooting to software-led orchestration. By synthesizing fragmented signals from OCPP (Open Charge Point Protocol) logs, firmware versions, and payment data, the system identifies anomalies before they lead to downtime.
Solving the “Uptime Crisis”
Reliability remains the single greatest barrier to mass EV adoption. Traditionally, diagnosing a failed charging session required a specialist to spend hours sifting through raw logs. Monta AI condenses this investigation into seconds.
The impact is not theoretical. In early production tests, one operator saw a DC fast charger’s success rate leap from a dismal 31.2% to 98.3% in just 25 seconds after the AI identified a specific firmware mismatch that had eluded manual detection for days.
“The real opportunity with AI isn’t just doing existing tasks faster; it’s removing the operational constraints that have limited how networks scale,” says Casper Rasmussen, CEO and co-founder of Monta. “Monta AI shifts the burden from people to software.”
Why Proactive Intelligence Matters Now
As the industry moves toward 2026 mandates for 99% uptime in many regions, the “People-First” model of infrastructure management is no longer viable.
How Monta AI Changes the Playbook:
- Democratizing Data: Natural-language processing allows non-technical staff to ask complex questions like, “Suggest new charging sites based on local equipment density and competitor gaps,” or “Why is site utilization dropping on Tuesdays?”
- Fraud Detection: Unlike reactive systems that flag fraud after a loss, the AI identifies and acts on anomalous charging patterns instantly.
- The Baseline Approach: In a significant market move, Monta is including these AI capabilities for all customers at no additional cost, challenging the industry standard of charging premiums for advanced NOC (Network Operations Centre) tools.
Operational Impact: The Rolec Perspective
For major operators like Rolec, the shift is already improving the bottom line. Arron Rothwell, Operations Director at Rolec, notes that the system is proactively resolving 79% of driver queries without human intervention.
“Monta AI is fast-tracking case resolutions for many basic issues,” Rothwell says. “This frees up our team to handle the more complex engineering challenges, providing an enhanced service for our customers.“
People Also Ask: Is Fully Autonomous Charging Possible?
As Monta AI begins to orchestrate maintenance actions and pricing changes, the industry is left wondering: When will humans be removed from the loop?
While Monta AI currently keeps humans “in the loop” for final execution, the platform is trained on a massive dataset—spanning 260,000 charge points and 3 million monthly sessions. This volume of data is the foundation for what Rasmussen calls “fully autonomous charging operations,” where software will eventually orchestrate fault resolution and energy coordination end-to-end.
The Bottom Line for 2026
The launch represents a broader industry pivot toward “resilient energy futures.” As charging networks become critical national infrastructure, the ability to predict a failure before a driver plugs in is no longer a luxury—it is the new baseline for profitability and public trust.
