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Large People ModelHuman Operating Architecture

Layer 1 / Identity & Incentives

Clarify who owns the outcome.

Use this checklist to confirm who remains accountable when AI participates in the work.

Checklist scope

One layer. One workflow. One visible gap.

This page does not replace the full Identity & Incentives framework page or certify that an AI system is safe. It helps a team inspect one operating condition before scaling.

Concise Readiness Checklist

Assess the current condition, then make one improvement.

Answer from the live workflow and its evidence. If the team cannot point to an owner, record, source, control, or review, treat that as the gap.

Ask now

  • Who owns the AI use case?
  • Who owns the business outcome?
  • Who owns adoption?
  • Who owns risk?

Strengthen next

  • Assign a named accountable owner for every AI use case.
  • Define business outcome ownership before tool selection.
  • Clarify who validates AI-generated work.
  • Separate contributors, reviewers, approvers, and owners.

Run the Checklist

Apply it to a live workflow, not an abstract AI strategy.

Use one bounded workflow with a named outcome and a decision AI may influence.

  1. 1

    Name the workflow

    Describe the trigger, outcome, participants, and the decision AI may influence.

  2. 2

    Inspect Identity & Incentives

    Name the outcome owner, use-case owner, reviewer, and risk owner.

  3. 3

    Record the gap

    Name one owner, one corrective action, and the evidence that must exist before scale.

Create the Operating Proof

Use the Ownership Map.

A completed working artifact is stronger evidence than a slide describing future intent.

Start with the checklist gap, complete the tool for the selected workflow, and review whether the artifact is actually used when the next live case arrives.