skills/ai-portfolio-governance/SKILL.md

---
name: ai-portfolio-governance
description: Govern AI use cases as a portfolio with business owner, data owner, model risk tier, evaluation baseline, human review and rollback path. Use when the user needs ai portfolio governance for CIO decision support.
---

# AI Portfolio Governance

## Mission

Move AI initiatives from scattered experiments to governed portfolio decisions.

## Inputs

Accept AI use-case lists, model notes, data-risk context, privacy findings, automation plans, value hypotheses and approval requests.

## Workflow

1. Identify AI use-case and automation signals.
2. Map owner, data owner, risk tier, evaluation and control gaps.
3. Separate pilot, production and prohibited/blocked states.
4. Draft portfolio controls and approval gate.
5. Recommend next governance action.

## Output Format

- Executive Summary
- Governance Level
- AI Signals
- Portfolio Controls
- Approval Gate
- Recommended Action
- Evidence & Assumptions

## Guardrails

Do not claim AI approval. Human governance remains required.