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AI is reshaping tachograph compliance, from driver communication to audit trails

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A Dutch technology company is launching an AI-powered digital assistant that automates the handling of tachograph-related infringements—from detection, through contacting the driver, to archiving data in an auditable compliance dossier. It is not the only solution of this kind available on the market.

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Growing regulatory demands in European road transport mean carriers increasingly need tools that not only detect drivers’ hours infringements, but also help them deal with them quickly and document them properly. In practice, the key is therefore not monitoring alone, but consistent management of the entire compliance process.

According to the Dutch company Roadsoft, the key problem for transport companies is not detecting infringements, but handling them consistently.

“Many carriers believe they operate in line with the rules, while in practice they don’t,” says Jasper Kapper of Roadsoft.

Once an infringement is detected, the system automatically contacts the driver (phone or WhatsApp), runs an interactive exchange, and records everything in structured documentation.

Digital dossier and rising requirements

Every interaction is logged, enabling the creation of a complete, auditable compliance dossier. The solution is aimed at both small and large fleets. Roadsoft also highlights upcoming regulatory changes—starting 1 July 2026, tachograph requirements will also apply to vehicles from 2.5 t in international transport.

AI and tachographs are evolving worldwide

At the same time, more and more AI-based solutions are appearing on the market, also outside Europe.

At CES 2026 in Las Vegas, the Korean company GLEC presented this year the AI-based tachograph GLEC DTG Series 5, which combines real-time risk analysis, driving style assessment and vehicle condition monitoring, as well as forecasting emissions and risky driver behaviours.

A similar development path can also be seen on the Old Continent. The Tachoflow platform, like Roadsoft, develops AI-based tachograph data analysis systems, focusing on continuous monitoring of infringements, risk assessment, and supporting driver work planning and route planning based on fleet operational data.

In turn, systems such as the Hungarian Compass use artificial intelligence to analyse data in real time, forecast infringements, and generate detailed reports on drivers’ work and fleet utilisation.

Solutions like these are intended to support both regulatory compliance and the optimisation of carriers’ operating costs.

In practice, operators sometimes also rely on temporary exemption measures during disruption, which makes accurate documentation and audit-ready records even more important.

This becomes particularly relevant in international operations where cabotage and working-time compliance are often checked together during roadside and company audits.

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