# 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 header

- Review purpose:
- Review date:
- Operating mode: lightweight / high-assurance
- Accountable decision-maker:
- Records reviewed:
- Decision deadline or trigger:

## Minimum decision record

- Intervention and population:
- Value hypothesis:
- Primary outcome:
- Countermetrics:
- Comparison and limitations:
- Cost boundary:
- Relevant slices:
- Evidence classes:
- Missing evidence, owner, and next trigger:
- Authority limit:
- Reversal path:

## 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: