KD-015 · Workflow

Human Approval Flow

Show the explicit control point where AI-assisted drafts and recommendations wait for accountable human approval.

Evidence level: Verified
Executive audience: COO, product leader, compliance leader
Publication status: Published after human review

Inspect the operating model

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Text alternative and Mermaid source

Human Approval Flow. Show the explicit control point where AI-assisted drafts and recommendations wait for accountable human approval. Business problem: A useful AI draft can become an operational or reputational risk when the workflow does not make review rights explicit. Claim boundary: Code-backed RachelOS implementation pattern. It does not establish revenue, adoption, conversion, healthcare deployment, or a result outside the demonstrated implementation.

sequenceDiagram
  participant S as System
  participant O as Operator
  participant R as Recipient
  S->>O: Surface recommendation or draft
  O->>O: Approve, revise, or skip
  O->>R: Authorized action only
  S->>S: Log outcome and recalculate queue

Why this matters

A useful AI draft can become an operational or reputational risk when the workflow does not make review rights explicit.

Executive decision

Separate recommendation, draft, approval, send or skip, and outcome logging into visible lifecycle states.

Claim boundary

Code-backed RachelOS implementation pattern. It does not establish revenue, adoption, conversion, healthcare deployment, or a result outside the demonstrated implementation.

Evidence summary

rachelos:ev-rachelos-human-approved-ai

AI drafts and recommendations wait in a dedicated operator queue for human review before anything is sent.

Boundary: Enforced in code, not promised. No send-rate metric.