Processes

Demonstrate run at rate

How demonstrate run at rate are reshaped as AGI capability advances.

ProcessesDemonstrate run at rate
Demonstrate run at rate — illustrated

The bottom line

Only about 25% of Demonstrate run at rate is information work today — the rest is physical, and moves slowly. The exposure is concentrated in the back office: the books, the paperwork, the scheduling, the marketing.

Why: Lacking seeded child occupations, the scalar is derived from the process name ('Demonstrate run at rate') and its anchored industries (Motor Vehicle Manufacturing, Body and Trailer Manufacturing). Demonstrating production capacity involves operating physical manufacturing lines and machinery to verify output, pointing to heavily physical work with only minor documentation/reporting elements.

grounded in the economy graph · digital scalar 0.25 · physical

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Demonstrate run at rate 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 Demonstrate run at rate inherits.

Where Demonstrate run at rate sits

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How the work flows

Trigger: A customer or internal program manager requests a physical production trial to verify capacity and quality after production tooling is installed.

  1. Schedule the production trial run with standard operators and materials
  2. Operate the manufacturing line under normal production conditions
  3. Record actual production volume, cycle times, and downtime
  4. Inspect completed parts against quality and dimensional specifications
  5. Calculate scrap, rework rates, and overall equipment effectiveness
  6. Submit the run at rate performance documentation for approval

Outcome: The manufacturing process proves it can consistently output parts at the required volume and quality standards, securing approval for full production.

Measured by

Target Production Rate AchievementFirst-Pass YieldCycle Time VarianceOverall Equipment Effectiveness