Processes

Harvest knowledge

How harvest knowledge are reshaped as AGI capability advances.

ProcessesHarvest knowledge
Harvest knowledge — illustrated

The bottom line

Roughly 85% of the work in Harvest knowledge 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, the scalar is derived directly from the process name and description. While the parent lens 'Deliver service to customer' can involve hybrid physical work, the specific task of 'garnering feedback' to 'collect a knowledge base' is intrinsically pure information processing. Gathering and structuring data into a database is highly addressable by software, placing this firmly in the digital band.

grounded in the economy graph · digital scalar 0.85 · digital

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How the work flows

Trigger: A service delivery concludes or a project milestone is reached, prompting the collection of feedback and operational insights.

  1. Identify the service completion or project milestone
  2. Solicit feedback and insights from internal teams and stakeholders
  3. Document operational observations, challenges, and deployed solutions
  4. Review and validate collected information for relevance and accuracy
  5. Classify and tag the validated content using a standard taxonomy
  6. Publish the structured knowledge assets to the centralized repository

Outcome: Verified feedback, lessons learned, and operational insights are categorized and published to a central knowledge base for future access.

Measured by

Knowledge Capture Cycle TimeVolume of New Knowledge AssetsKnowledge Asset Quality ScoreFeedback Response Rate