
A municipal IT officer auditing a new AI-driven traffic system for EU AI Act compliance can easily lose 20-plus hours a week manually checking articles and consulting external lawyers. TAI Scan facilitates that manual audit with a guided, RAG-grounded assessment, turning weeks of legal cross-referencing into a structured report the officer conducts, reviews and validates in a fraction of the time.
Traffic management systems that dynamically control infrastructure sit squarely in high-risk territory under the EU AI Act, which means the compliance bar is high, and the margin for error is thin. Getting the legal risk classification of the AI Act wrong, or missing; a relevant and significant legal obligation, can expose the municipality to legal penalties and, given that the system controls physical infrastructure, real public safety consequences.
Yet building that confidence today means manually cross-referencing more than 50 articles and looping in external lawyers for a single system; a process compliance officers can’t reasonably repeat every time a new AI system needs review.
The compliance officer enters just the system’s core details once in the TAI Scan tool: their role as deployer, the domain of application (transport infrastructure), the type of AI system (real-time traffic flow optimisation), the type of input data it uses (telemetry from sensors and cameras), and its intended use (“dynamically adjust traffic lights to reduce congestion”).
TAI Scan then generates a structured summary report, including a risk classification based on the AI Act, such as “High-Risk,” and provides details of the specific EU AI Act articles that apply, for example Articles 14 and 27. Every output is directly tied to the EU AI Act text through retrieval-augmented generation, ensuring legal accuracy, and includes article references for traceability and audit purposes.
The officer reviews the retrieved articles so as to validate the proposed risk classification, acting as a human-in-the-loop check, before the report is finalized, rather than relying on the system’s output unreviewed.
Reduce audit time for a high-risk system from 3 weeks to 2 days as well as cost associated with this audit
Receive a clear risk classification, such as “High-Risk,” instead of manually working through the criteria article by article.
Tie each output directly to EU AI Act text through retrieval-augmented generation, keeping results legally accurate and traceable.
Validate the AI-generated classification against the retrieved articles yourself before it’s finalized.
Bring a complete, audit-ready report with article-level references to council meetings and regulatory reviews, replacing informal or incomplete documentation.
Let the IT director walk into a city council meeting with a complete compliance report generated in 48 hours, not 3 weeks, giving the mayor a concrete example of efficient governance in action.
Easily and swiftly validate any updated in the audited AI system and its AI Act risk classification.