________________________________________________________________________________________________________________________
inspection process into a fast, scalable, and automated operation, using agentic and embodied AI with physical AI models to verify cars in seconds( via VIN plate, context engine number, chassis number, etc.) and update systems in real time. The result: an almost 67 percent reduction in manual verification effort and significant time savings. Initiatives like these are ongoing on production floors and in warehouses across the manufacturing landscape. With its ability to make autonomous, contextual decisions that factor in a broader business conditions( supply chain, demand, etc.), we’ re finding embodied AI( that’ s physical AI + AI agents, see sidebar) to be particularly well suited for tasks involving a degree of unpredictability( in the task itself or in the task environment), including warehouse pick-and-place, asset inspection, health and safety inspection, quality inspection, and material handling and assembly. It’ s also proving to be viable for shop floor orchestration and execution.
◀ L to R: Boris Dmitriev
& Daniel Krampe
The question is no longer who has the most AI pilots. The question is who can replicate successful use cases across lines, plants, and regions with consistent performance, governance, and user adoption
28