Processes

Conduct inspections

How conduct inspections are reshaped as AGI capability advances.

ProcessesConduct inspections
Conduct inspections — illustrated

The bottom line

About 50% of the work in Conduct inspections 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 zero child occupations seeded, the scalar relies on the process name 'Conduct inspections' within the 'city-government' framework. City inspections (e.g., building, health, or code enforcement) inherently demand a blend of physical site visits to observe real-world conditions and digital knowledge work to document findings and file compliance reports, anchoring this clearly at a band-center hybrid value.

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.

Conduct inspections 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 Conduct inspections inherits.

Where Conduct inspections sits

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How the work flows

Trigger: An inspection is triggered by a permit application reaching a required phase, a scheduled compliance interval, or a reported citizen complaint.

  1. Schedule the inspection and route to the appropriate municipal inspector
  2. Review prior site history, permits, and relevant municipal codes
  3. Conduct the physical site visit to assess compliance
  4. Record observations, evidence, and code violations
  5. Issue the official inspection report and update system records
  6. Determine enforcement actions or approve the permit phase

Outcome: The inspection is completed and documented, resulting in either a notice of compliance or the issuance of citations and remediation orders.

Measured by

Inspection Turnaround TimeInspector Utilization RateCode Compliance RateInspection Backlog Volume