Ford has rehired over 350 experienced engineers to fix quality problems caused by its over-reliance on automated systems that lacked proper institutional knowledge.
The automaker now leads the industry in recalls and has shifted its strategy from fixing defects after they appear to preventing them before production, while expanding AI-powered testing and integrating software teams more closely with hardware engineering.
What happened
Ford brought back over 350 experienced engineers—some former employees—to correct errors made by automated production and design systems and retrain those systems with accumulated expertise. The company also created a dedicated 40-person software quality assurance team and added more than 100,000 new AI-powered tests to catch defects earlier in the development process.
Why it matters
Ford's automated systems failed because the company underestimated the value of veteran engineers' knowledge and did not fully transfer it before those employees left. The automaker discovered that AI quality depends entirely on data quality, and that skipping experienced human judgment led to a drop in vehicle quality. Ford now leads the industry in the number of recalls, making this shift critical to rebuilding customer trust.
What to watch
Ford is moving away from a 'find and fix' approach (identifying defects after they appear) toward preventing problems before they occur. The automaker is also integrating software and digital teams more closely with vehicle engineering and manufacturing teams, combining software development speed with automotive-grade engineering rigor required for safety-critical systems.
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