Evaluate required data
How evaluate required data are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Evaluate required data 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 seeded child occupations, I rely on the process name and industry context: 'Evaluate required data' within Property and Casualty Insurance Carriers is fundamentally an information processing task. Evaluating and analyzing risk or claims data is purely cognitive, screen-based work, leading to a high digital scalar.
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.
Evaluate required data 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 Evaluate required data inherits.
Where Evaluate required data sits
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How the work flows
Trigger: A business unit, analytical initiative, or compliance mandate submits an objective requiring informational support.
- Review the business objective and use case scope
- Identify necessary data domains and conceptual entities
- Map conceptual requirements to available physical source fields
- Assess data availability, security classifications, and privacy constraints
- Establish data quality and latency thresholds
- Finalize and publish the data requirements specification
Outcome: A formal specification details the exact data elements, source systems, and quality thresholds required to fulfill the objective.