AI Economics Review
Use this template for an executive, portfolio, experiment, launch, or lifecycle review that consumes one or more AI initiative evidence records.
- Review purpose:
- Review date:
- Operating mode: lightweight / high-assurance
- Accountable decision-maker:
- Records reviewed:
- Decision deadline or trigger:
Executive decision
- Disposition: scale / constrain / redesign / hold / retire / exception
- Decision in one sentence:
- Approved population and workflow:
- Approved authority:
- Budget or cost boundary:
- Review trigger:
Evidence summary
| Dimension |
What was observed |
Confidence/class |
Material caveat |
Owner |
| Workflow outcome |
|
|
|
|
| Quality and safety |
|
|
|
|
| Worker/user/customer effect |
|
|
|
|
| Adoption and substitution |
|
|
|
|
| Marginal economics |
|
|
|
|
| Fully loaded economics |
|
|
|
|
| Reliability and operations |
|
|
|
|
| Governance and authority |
|
|
|
|
Slices that change the decision
| Slice |
Result |
Why it matters |
Required response |
|
|
|
|
Evidence gaps and exceptions
| Gap or exception |
Consequence if wrong |
Owner |
Control or containment |
Revisit date/trigger |
|
|
|
|
|
Options and trade-offs
| Option |
Value evidence |
Cost |
Quality/worker/user effects |
Authority and reversibility |
Recommendation |
|
|
|
|
|
|
Decision record
- Why this disposition is justified:
- What would falsify or reverse it:
- What will not be claimed:
- Next action:
- Named owner:
- Verification evidence required before the next authority or investment step: