The client struggled with the growing complexity of automotive safety regulation documents. Manual document analysis was slow and error-prone, increasing the risk of missing critical safety information. This affected both product quality and time to market.
Hugging Face
Python
PyTorch
Azure
Streamlit
With rapid advancements in the automotive industry—such as V2X technology, electrification, and sustainable manufacturing—safety and compliance have become top priorities. Automakers must balance increasingly stringent regulatory requirements while ensuring that innovation and production timelines remain competitive. However, compliance itself is a highly complex domain, and often the struggle is between meticulous adherence to evolving global standards and an ever-growing volume of documentation.
To streamline this, many automakers have turned to automation, yet challenges persist. Regulatory documents vary in format, language, and interpretation, making it difficult for traditional automation tools to extract, classify, and validate critical safety information accurately. These inefficiencies introduce delays, increasing the time to market in an industry where speed is a competitive advantage.
Faced with similar challenges, our client, a leading automotive company, struggled to manage the growing volume of regulatory documents. Manually classifying safety-relevant information was slow, error-prone, and resource-intensive, increasing the risk of critical oversights. They sought a more efficient solution to improve accuracy and streamline compliance, ultimately accelerating the safe development of vehicles.
Bosch SDS assembled a dedicated team of AI specialists and domain experts to address the client’s regulatory compliance challenges. The team designed and implemented a GenAI-powered framework that identified whether automotive regulatory documents were safety-relevant and mapped them to existing requirements. Using semantic context matching, it extracted the corresponding safety information, establishing a direct link between regulations and compliance criteria. Our focus was twofold: accelerating the client’s time to market and achieving the highest levels of safety compliance.
Implementing our GenAI-powered solution transformed the automotive company's regulatory document workflow, enabling it to overcome existing bottlenecks and speed up processes. By automating document classification and accurately identifying functional safety relevance, we significantly reduced manual effort and minimized errors, leading to a more streamlined and efficient compliance process. This, in turn, has a direct impact on time-to-market and product safety, positioning the company for sustained growth and competitive advantage.
Reduced lead time from 30 hours to under 2 hours
Reduced classification errors
Enhanced product safety and quality
Improved productivity and turnaround time
Streamlined compliance processes
Accelerated time-to-market
As the automotive industry continues to face growing complexity in regulatory compliance, accuracy and efficiency become critical to success. Bosch SDS utilizes Generative AI for smarter semantic matching and faster information extraction to improve precision in document classification while reducing manual effort.
By automating repetitive tasks and minimizing errors, this solution streamlines compliance workflows, helping automotive companies improve safety standards, accelerate time to market, and stay in the fast line of a rapidly shifting industry.
