Boeing now runs more than 70 generative AI applications built to raise employee productivity, including Code Assistant for software engineers, and has trained 8,000 employees through its GenAI Academy, certifying 2,600 super users who build AI solutions themselves, according to a December 2025 feature in Boeing's Innovation Quarterly. Across offices, AI co-pilots can save employees up to two hours a day.
"It feels like having another expert on your team," said software engineer Grace Chrysilla of Code Assistant, which Boeing says helps produce software in seconds.
Boeing reorganised its AI work into one centralized framework with two areas, one enabling its business and one enabling its products and customer experiences, led by chief AI and data officer Abhi Seth and chief AI officer Vishwa Uddanwadiker. Its foundational principle is that technology should enhance human capability, not replace it.
The base layer is Boeing Conversational AI, unveiled in 2023 as the company's first large-scale generative AI platform, which lets employees worldwide query company data securely inside Boeing's network. "We design user-friendly interfaces so employees don't need to be data scientists or worry about their data to benefit," Seth said. Governance requires models to hold back rather than guess when data is lacking, to trace every response to a trusted source, and to run on an architecture that keeps proprietary and regulated information inside the secure network, under principles of safety, reliability, explainability, privacy and human oversight. Other uses include computer vision that improves the readability of engineering drawings for line mechanics, AI-driven predictive maintenance, visual inspections that catch supply chain defects earlier, AI-assisted simulation in digital engineering, the AskBoeing virtual assistant handling thousands of daily support requests, and autonomous aircraft inspection with automatic damage detection.
Boeing plans to keep testing and scaling, including a deeper look at agentic AI that performs tasks autonomously under human supervision, and is working with regulators including EASA on certification pathways for highly automated systems.
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