Build operating scenarios
How build operating scenarios are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Build operating scenarios 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 scalar is derived directly from the process name and its lens. 'Build operating scenarios' is fundamentally an analytical and planning activity—involving data analysis, forecasting, and computational modeling—making the value-producing work highly digital, even though it governs the physical oil and gas extraction industry.
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.
Build operating scenarios 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 Build operating scenarios inherits.
The problems this exposes
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
Where Build operating scenarios sits
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How the work flows
Trigger: A strategic planning cycle begins or a significant shift in market conditions or reservoir performance prompts a re-evaluation of operational plans.
- Aggregate baseline geological, production, and financial data
- Identify key operational constraints and market variables
- Develop baseline, conservative, and optimistic operational models
- Calculate resource demands and capital expenditures for each model
- Run sensitivity and risk analyses on the generated models
- Document and present scenario alternatives to leadership
Outcome: A validated set of operational scenarios with corresponding resource requirements and risk assessments is finalized for executive decision-making.