# AI Portfolio Governance

> 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.

- Skill: `rweisssieker-xp/ai-portfolio-governance` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add rweisssieker-xp/ai-portfolio-governance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/rweisssieker-xp/ai-portfolio-governance/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: rweisssieker-xp (https://skillmd.com/u/rweisssieker-xp)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/rweisssieker-xp/ai-portfolio-governance

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# 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.