Processes

Generate explanation of benefits

How generate explanation of benefits are reshaped as AGI capability advances.

ProcessesGenerate explanation of benefits
Generate explanation of benefits — illustrated

The bottom line

Roughly 90% of the work in Generate explanation of benefits 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, the scalar is derived from the process name and its health insurance industry lens. 'Generate explanation of benefits' is a pure information transformation task involving claims data processing, rules evaluation, and document generation. Because the value-producing work is entirely data-driven and runs inside software code paths, it falls firmly in the digital band.

grounded in the economy graph · digital scalar 0.90 · digital

Business-as-Code

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

Generate explanation of benefits 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 Generate explanation of benefits inherits.

Where Generate explanation of benefits sits

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How the work flows

Trigger: A medical claim reaches a final adjudicated state within the core administration system.

  1. Extract adjudicated claim data and benefit plan details
  2. Calculate patient responsibility including deductibles, copays, and coinsurance
  3. Map adjustment reason codes to plain-language explanations
  4. Format data into standard digital or print EOB templates
  5. Dispatch the formatted EOB to print vendors or member portals

Outcome: An Explanation of Benefits document detailing coverage, patient responsibility, and payment rationale is delivered to the member.

Measured by

EOB Generation Cycle TimeEOB Accuracy RateCost Per EOB Document