ai-portfolio-governance

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.

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.