Manage speed limits
How manage speed limits are reshaped as AGI capability advances.
The bottom line
About 50% of the work in Manage speed limits is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.
Why: With no seeded child occupations or descriptive lens provided in the grounding block, the scalar is derived directly from the process name and city government context. 'Manage speed limits' requires a blend of digital knowledge work (analyzing traffic data, drafting municipal policy, GIS mapping) and physical-world execution (field studies, installing physical signage), resulting in a band-center hybrid designation.
grounded in the economy graph · digital scalar 0.50 · hybrid
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Manage speed limits 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 Manage speed limits inherits.
Where Manage speed limits sits
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How the work flows
Trigger: A traffic study request, citizen safety complaint, or routine roadway review indicates a need to evaluate or adjust a speed limit.
- Receive speed limit evaluation request
- Conduct engineering and traffic study
- Analyze crash data and 85th percentile speeds
- Propose speed limit adjustment
- Approve ordinance or legal resolution
- Update municipal traffic databases
- Install or modify physical signage
Outcome: A legally enforceable speed limit is established, recorded in municipal databases, and physically posted on the designated roadway.