Generate "what if" scenarios
How generate "what if" scenarios are reshaped as AGI capability advances.
The bottom line
Roughly 90% of the work in Generate "what if" 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: Because no child occupations are seeded, the scalar is derived from the Process name 'Generate "what if" scenarios' and its anchor in the Property and Casualty Insurance industry. Scenario generation in insurance is a purely analytical, data-driven task involving statistical modeling and software, making it a high-digital knowledge-work surface.
grounded in the economy graph · digital scalar 0.90 · digital
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Generate "what if" 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 Generate "what if" scenarios inherits.
Where Generate "what if" scenarios sits
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How the work flows
Trigger: A strategic planning cycle, regulatory stress test requirement, or significant market event initiates the need for risk modeling.
- Identify core variables and specific risk factors to test
- Gather historical claims data and external risk indicators
- Define parameters and probability distributions for the hypothetical events
- Execute simulation models to project portfolio losses and operational impacts
- Analyze the projected effects on capital reserves and loss ratios
- Compile findings into actionable risk and strategy recommendations
Outcome: A quantified set of modeled financial and operational impacts is delivered to guide risk mitigation and capital allocation.