Volvo AI Assistant

Instant, on-site troubleshooting for every stage of your machine’s life cycle

One of the major challenges in construction sites – especially those in remote locations – is equipment downtime. When a machine fails, it can take several hours or even days for a mechanic to arrive, due to limited access and logistical constraints. This delay often triggers a chain reaction: since many tasks are interdependent, the breakdown of a single machine can halt the entire operation, leading to significant productivity losses and increased costs. As infrastructure projects become more complex and time-sensitive, reducing downtime through smarter, faster solutions becomes critical for the efficiency and sustainability of the construction industry.

More than 50% of machine issues on construction sites are simple and could be resolved in just a few minutes—yet they still trigger a call to the mechanic. This not only wastes valuable time but also contributes to unnecessary downtime, especially in remote areas where support can take hours to arrive. Our solution, Jack, is an AI-powered assistant that empowers machine operators to handle these basic issues independently. Using a guided diagnostic process based on Volvo’s official technical documentation, Jack combines artificial intelligence with computer
vision to detect and interpret signs of malfunction. This enables fast, accurate troubleshooting through an intuitive interface, helping keep operations running and ensuring that mechanics are only called when truly necessary.

Jack delivers measurable impact by significantly reducing equipment downtime, leading to fewer project delays and lower operational costs for users. By enabling operators to resolve over 50% of issues without external help, the solution increases autonomy and improves on-site efficiency. For Volvo CE, Jack offers a strategic advantage by collecting real-world data on recurring failures and site conditions. These insights are crucial for refining maintenance practices and even rethinking machine design to prevent similar issues in future models. Ultimately, Jack fosters a more intelligent, integrated, and resilient construction ecosystem.