Emovis consolidates its hybrid AI approach within the tolling sector

Emovis has participated as a sponsor and speaker at the AI for Tolling Online Summit 2026, the online event organized by Toll Insight on April 21, 2026, focused on the practical application of Artificial Intelligence in the tolling industry. This event marks our second participation as a speaker at a Toll Insight event this year, reinforcing our positioning as a reference in advanced toll-based mobility solutions.

The event brought together agencies, operators, and technology providers to address how AI is generating real value in key areas such as operations, customer service, enforcement, and asset management. From a practical perspective based on real-world experiences, the program highlighted both current benefits and organizational, integration, and data governance challenges.

In this context, Adria Ferret, New Solutions Manager at Emovis, participated as a speaker in Session 4: “AI in Toll Operations and Customer Experience”, moderated by Kristen Johnson from Toll Insight. His presentation took place at 3:55 PM under the title “Human-in-the-Loop AI: Enhancing Roadside, Back Office, and Customer Support”.

During the session, we shared our vision for how AI in the tolling environment requires an operational approach grounded in accuracy, data governance, and human oversight. In this regard, we highlighted the importance of Human-in-the-Loop models, which combine automation with human expertise to ensure reliability, efficiency, and revenue protection.

Likewise, we emphasized that the true value of AI does not lie solely in the models but in its integration into existing operational processes, particularly in areas such as roadside, back office, and customer support.

On the other hand, we highlighted that tolling environments represent a particularly demanding use case for AI, due to the high transaction volume, the critical importance of accuracy, and the direct impact of any deviation on revenue. In this context, human oversight ceases to be a complement and becomes a structural component of the system.

Finally, we emphasized the importance of building continuous learning systems in which operational feedback enables models to progressively improve, reducing errors and increasing consistency in real-world operational scenarios.

Our participation in the AI For Tolling Online Summit 2026 reinforces our commitment to developing toll-based mobility solutions that integrate technology, processes, and people. To further explore this vision, we invite industry professionals to download our whitepaper “AI Doesn’t Solve Everything”, available on our Emovis Hub.