Processes

Collect data from internal sources

How collect data from internal sources are reshaped as AGI capability advances.

ProcessesCollect data from internal sources
Collect data from internal sources — illustrated

The bottom line

Roughly 85% of the work in Collect data from internal sources 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 for this specific process, the digital scalar is derived directly from the process name. 'Collect data from internal sources' is a pure information-gathering and handling activity that occurs almost entirely within software systems, databases, and communication channels, placing it firmly in the digital band.

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.

Collect data from internal sources 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 Collect data from internal sources inherits.

Where Collect data from internal sources sits

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How the work flows

Trigger: A reporting cycle, audit, or analytics initiative requires operational, financial, or engineering data from internal systems.

  1. Identify required data elements and source systems
  2. Define data extraction parameters and filters
  3. Execute queries against internal systems
  4. Validate extracted data for completeness
  5. Format and stage data for downstream use

Outcome: The required internal data is extracted, validated, and staged in a central repository for analysis or reporting.

Measured by

Data Extraction Cycle TimeData Completeness RateInternal Data Error RateCost Per Data Request