Processes

Summarize result(s)

How summarize result(s) are reshaped as AGI capability advances.

ProcessesSummarize result(s)
Summarize result(s) — illustrated

The bottom line

Roughly 90% of the work in Summarize result(s) 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 there are no seeded child occupations, I derived the digital scalar directly from the process description and lens ('Manage enterprise quality'). The process explicitly involves outlining facts and figures, using charts, tables, statistical test results, and producing 'written findings and conclusions.' This represents pure data analysis and documentation work, which is entirely digital and highly addressable by software.

grounded in the economy graph · digital scalar 0.90 · digital

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How the work flows

Trigger: Raw data and statistical outputs from a completed quality test become available.

  1. Aggregate raw test data and statistical outputs
  2. Identify key facts, figures, and deviations from baselines
  3. Generate visual aids including charts and tables
  4. Draft written findings and actionable conclusions
  5. Compile data visuals and text into a unified summary report
  6. Publish and distribute the summary to designated stakeholders

Outcome: A structured summary containing charts, tables, and written conclusions is finalized and distributed to stakeholders.

Measured by

Summary Turnaround TimeReport Error RateStakeholder Satisfaction Score