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These tools, built around real-world needs, now enable crewmembers, engineers and experts to analyse faster, anticipate risks and improve project performance. Here are a few examples. “AI won’t innovate for us: it’s up to us to find ways of using AI that help us move forward.” Patrick Sulliot, President of VINCI Construction. More accurate and faster structural diagnostics Inspecting a bridge, tunnel or dam is time-consuming. The teams at Sixense Engineering now use drones to capture thousands of high-resolution images in order to identify cracks and other structural defects. This has significantly improved inspector safety as well as inspection scopes. But analysing that amount of data caused bottlenecks. Caméléon, an AI-enhanced solution developed in-house in 2021, now runs initial screenings and detects anomalies automatically. This enables faster, more accurate diagnostics and frees up teams to focus on the jobs where they add the most value: interpretating findings, advising and making decisions. Planned, data-driven road maintenance Jean Lefèvre UK teams have gone one step further with Maintenance Planner, a tool that uses machine learning to model road wear over time and simulate a variety of maintenance scenarios. The figures show that planned maintenance has a significantly smaller carbon footprint than unplanned maintenance. Maintenance Planner is now more than an internal management tool: it is also helping customers. VINCI Construction can now help them review their options and guide their investment decisions with objective models – i.e. play an advisory role thanks to AI-powered analytics. Scaling up reuse across worksites Reducing construction waste is becoming a top priority for VINCI Construction as well as its customers. Backin, a solution that the Building France and Civil Engineering France divisions recently rolled out, connects worksites offering supplies and materials with worksites that need them. AI now automatically extracts information about the available supplies and materials – a job that was time-consuming and difficult to scale up when it was done manually. That information is then fed into a database that swiftly identifies reuse opportunities, and is helping to turn reuse into standard practice across worksites. Automation improves worksite safety On worksites, the most challenging environments are also the riskiest. The Grands Projets Division teamed up with Nerospect to trial autonomous trains to transport materials inside tunnels. A single operator can now supervise several trains simultaneously in much less demanding and vulnerable conditions than before. The aim is not to replace teams: it is to limit their exposure to the most dangerous situations while relieving them of repetitive tasks – which is entirely in line with VINCI Construction’s health and safety commitments. Screening calls for tenders in seconds In 2023, engineering teams could spend several hours conducting their preliminary analysis of a single call for tenders. Select, a solution developed in-house to protect confidential data, has shortened this step to about 30 seconds. Engineers can now spend more time on higher-value tasks such as analysing risks, drafting proposals and liaising with customers. “Innovation always starts with operational needs – not technology.” Guillaume Malochet, Director of Strategy and Innovation Grounded in operations These examples illustrate VINCI Construction’s structured approach: all its AI-related projects start with team requests. Subject-matter experts identify the issues and test the solutions to ensure they address the problem. They also help to develop the tools, often with support from the AI programme that Leonard, the VINCI Group’s innovation lab, launched in 2020. The tools are then deployed in operations, enhancing VINCI Construction’s ability to support its customers. --> Follow us LinkedIn YouTube About us A global leader in construction Infrastructure, buildings and civil works How we act Why join us? News Newsroom Contact us Personal data policy Copyright © 2026 VINCI Construction. Legals Cookies Accessibility Statement : partialy compliant