How manage enterprise quality are reshaped as AGI capability advances.

Roughly 75% of the work in Manage enterprise quality 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: Lacking seeded child occupations, the scalar is derived from the process description. Tasks such as determining quality requirements, evaluating performance metrics, managing non-conformance, and maintaining an enterprise quality management system (QMS) are fundamentally analytical and information-based. Despite governing physical output in industries like aerospace and automotive manufacturing, this management layer relies heavily on software, data evaluation, and compliance documentation, placing it in the digital band.
grounded in the economy graph · digital scalar 0.75 · digital
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Trigger: Strategic organizational objectives are defined, new regulatory standards are published, or a scheduled quality review cycle begins.
Outcome: An enterprise quality management system operates continuously, output aligns with established quality requirements, and non-conformances are permanently resolved.