Monta introduces Monta AI to analyse EV charging network operations

Monta AI provides CPOs with support to troubleshoot charge points, understand performance issues, manage firmware updates, and adjust pricing.

EV charging platform Monta has launched Monta AI, an operational intelligence layer designed to analyse network operations in the background, surfacing insights, anomalies, and recommended actions.

Monta AI provides charge point operators with AI-powered support to troubleshoot charge points, understand performance issues, manage firmware updates, and adjust pricing.

The analysis from the AI system includes identifying issues such as firmware mismatches that affect reliability, detecting and acting on fraud, and guiding operators on corrective measures.

At the same time, Monta AI is designed for operators to ask natural-language questions across operations, performance, pricing, expansion, and energy.

For example, the operator could ask the system to suggest potential new charging sites based on local EV equipment and competitive infrastructure.

Embedded directly into the Monta platform, Monta AI changes operational data into insights that team members can act on immediately.

The capability is included for all Monta customers at no additional cost.

Casper Rasmussen, CEO and co-founder of Monta, said: “The real opportunity with AI isn’t just doing existing tasks faster.

“It’s removing operational constraints that have limited how charging networks can scale.

“Today, operators are expected to deliver near-perfect reliability while managing exponentially more hardware, data, and complexity with the same-sized teams.

“Monta AI shifts that burden from people to software by continuously understanding what’s happening across the network and proactively surfacing the actions that will have the biggest impact.”

Today, a single failed charging session can require hours of manual investigation across Open Charge Point Protocol (OCPP) logs, firmware versions, payment data, and hardware documentation, often handled by a small number of experts.

Monta AI aims to address this bottleneck by synthesising fragmented operational signals into a single intelligence layer.

The system explains what is happening across the network, diagnoses root causes, and recommends actions, while keeping human operators in control of execution.

Monta said this tool is already delivering results. In one case, an operator saw a DC charger’s success rate increase from 31.2% to 98.3% in 25 seconds after Monta AI identified a firmware mismatch responsible for repeated failures.

Arron Rothwell, operations director at Rolec, said: “Monta AI is fast-tracking our case resolutions for many of the basic issues, freeing up time for our team to handle the more complex issues.

“Overall, this gives our customers an enhanced service.”

Monta AI intends to improve overall network performance by detecting recurring issues and performance patterns across chargers, sites, and regions, to help operators increase reliability and uptime at scale.

It also informs pricing strategies, analyses utilisation trends, and identifies underserved areas or potential new deployment opportunities.

In parallel, it explains smart-charging behaviour, energy constraints, and load management factors that affect network performance.

Monta AI is built on AI systems already running in production across the Monta platform, including automated support resolution and AI-powered diagnostics such as the NOC (Network Operations Centre) Agent.

These capabilities are unified through a conversational interface.

The system is trained on an industry data set spanning more than 260,000 connected charge points, three million monthly charging sessions, and 14,000 support requests per month across a unified global platform.

By analysing operational signals in real time, the system detects anomalies early and delivers role-specific recommendations to enable teams to act faster and with greater confidence, without requiring deep technical expertise.

Over time, Monta’s goal is to support fully autonomous charging operations, with software orchestrating fault resolution, optimisation, and network coordination end-to-end.

Rasmussen added: “Our long-term ambition is to move EV charging from reactive operations to proactive systems by default.

“Monta AI is a major step in that direction, helping operators anticipate issues, act faster, and manage growing network complexity with confidence as they scale.”

SOURCE Motor Trade News