Engineers sifted through scattered, handwritten logs. Now, 9 specialized agents synthesize answers from decades of powertrain data.
The world's largest automaker by volume sells over 10 million vehicles annually while navigating a complex engineering transition to electric and software-defined mobility.
A wave of retiring senior engineers threatened to erode decades of critical institutional knowledge just as powertrain development became more...
“At Toyota, we are shifting from being a car company to a mobility company. The biggest challenge is the number of items to be developed is increasing rapidly.”
Data science and mobility solutions provider for connected vehicle services.
Enterprise software, cloud infrastructure, and consumer electronics platform.
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Expertise was locked in diagrams; modeling 2 parts took 400 hours. AI decodes those slides, cutting modeling time from 3 years to 1.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Translating 25,000 ERP objects meant 1,250 hours of manual developer work. AI finished the job in 20 days with zero errors.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.