Processes

Develop assay

How develop assay are reshaped as AGI capability advances.

ProcessesDevelop assay
Develop assay — illustrated

The bottom line

About 50% of the work in Develop assay is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.

Why: With no underlying child occupations seeded, this process's scalar is derived from its name and anchored industries (Life Sciences, Pharmaceutical and Medicine Manufacturing). Developing an assay is a quintessential hybrid process requiring both physical wet-lab execution (handling biological samples, operating diagnostic medical equipment) and heavy digital information work (computational biology design, statistical validation), landing it squarely at the hybrid band-center.

grounded in the economy graph · digital scalar 0.50 · hybrid

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Develop assay 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 Develop assay inherits.

Where Develop assay sits

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How the work flows

Trigger: A target biomarker, drug compound, or testing requirement is identified for measurement.

  1. Define assay specifications and acceptance criteria
  2. Select reagents, standards, and detection methods
  3. Optimize assay conditions and parameters
  4. Perform analytical validation testing
  5. Document standard operating procedures
  6. Transfer assay to the target operating environment

Outcome: A validated assay protocol is documented and transferred for routine laboratory or manufacturing use.

Measured by

Development Cycle TimeAssay SensitivityValidation Pass RateCost Per Assay Developed