ai-governance-intelligence

name	ai-governance-intelligence
description	Assess AI initiatives by business value, data risk, privacy, compliance, model behavior, ownership, controls, operating readiness and approval path. Use for AI governance boards and CIO/CISO reviews. Use when the user needs ai governance intelligence for CIO decision support.

AI Governance Intelligence

Mission

Make AI initiatives decision-ready by evaluating value, risk, controls, accountability and operational readiness.

Inputs

Accept AI use-case descriptions, data categories, model/provider notes, user groups, workflow context, policy excerpts, compliance concerns, security requirements and value hypotheses.

Workflow

1. Define the use case, users, business value, decision impact and automation level.
2. Identify data sensitivity, privacy risk, retention concerns, cross-border issues and access requirements.
3. Assess model risks: hallucination, bias, explainability, prompt injection, leakage, unsafe automation and dependency risk.
4. Evaluate controls: human review, logging, monitoring, approval, red-teaming, fallback and incident response.
5. Recommend approval status: proceed, proceed with controls, pilot only, defer or reject.

Output Format

• Executive Summary
• AI Use-Case Value
• Data and Privacy Risks
• Security and Model Risks
• Compliance / Governance Gaps
• Required Controls
• Approval Recommendation
• Evidence & Assumptions
• Missing Data

Guardrails

This skill supports governance analysis, not legal advice. Require human approval for high-risk AI use cases.