According to the company, the engineers are involved in checking designs, mentoring young employees, and improving automated control algorithms used to identify defects before vehicles hit the market. Ford's Vice President of Automotive Equipment Development, Charles Poon, noted that artificial intelligence has proven to be a useful tool; however, its effectiveness directly depends on the quality of the data and the expert experience embedded in the system. According to management, in previous years, the company did not adequately preserve the knowledge of experienced engineers, leading to gaps in the development and testing processes. As a result, some specialists left the company before their expertise was integrated into production systems. Ford's Chief Operating Officer, Kumar Galhotra, emphasized that after the return of the specialists, engineers began identifying potential defects even before production started, which helped reduce the number of errors. The company's CEO, Jim Farley, stated that the implementation of the expertise of experienced employees has already yielded financial benefits: warranty service costs and vehicle recalls have decreased, allowing for savings of hundreds of millions of dollars. Previously, Ford faced serious quality issues. In 2025, the company set a record for the number of vehicle recalls, significantly outpacing competitors. According to U.S. regulators, in 2026, the company is already showing improved metrics and a reduction in defects. The company emphasizes that this case serves as an example that artificial intelligence cannot fully replace human experience, especially in complex engineering processes.
