Design in-vehicle system
How design in-vehicle system are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Design in-vehicle system is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: With no child occupations seeded, the digital scalar is derived from the composite's name and APQC lens ('Design in-vehicle system' within Motor Vehicle Manufacturing). Designing automotive systems is an engineering process reliant on CAD software, embedded systems programming, and simulation tools. Because the value-producing step is information transformation rather than physical manufacturing, it is heavily digital; lacking further children, it is set at a representative band-center 0.85.
grounded in the economy graph · digital scalar 0.85 · digital
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Design in-vehicle system sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Design in-vehicle system inherits.
Where Design in-vehicle system sits
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How the work flows
Trigger: Vehicle architecture planning dictates the need for a new or updated in-vehicle hardware or software sub-system.
- Capture functional and non-functional requirements
- Draft hardware and software architecture
- Design user interface and interaction flows
- Build initial system prototypes
- Test against vehicle integration parameters
- Finalize specifications and component lists
Outcome: The in-vehicle system design is finalized, validated against performance constraints, and released for production scaling.