---
name: review-ai-governance
description: A practical check of who can buy AI, what data it can touch, and whether anyone would know if a tool went wrong.
license: MIT
metadata:
  author: The Revenue AI Report
  version: 1.0.0
  last-reviewed: 2026-09-04
  source: https://www.therevenueaireport.com/skills/review-ai-governance
---

# Review AI Governance

A practical check of who can buy AI, what data it can touch, and whether anyone would know if a tool went wrong.

## When to use this skill

- When AI tools are spreading faster than any policy.
- After a customer complaint or a data scare involving an AI tool.
- Before the board asks what your AI governance looks like.

## Inputs to collect

- A list of AI tools currently in use, sanctioned or not
- Your current approval process, if any
- Any data-handling rules that already exist

## Process

1. Inventory what is in use, including expensed and free tools.
2. Name the exposure points: data in, output out, money spent.
3. Write the minimum policy: approval, data access, output review, kill process.
4. Assign one owner. Governance without an owner is a document.
5. Review quarterly. Tools change faster than annual policies.

## Decision rules

- Any tool touching customer data goes through review, no exceptions for free tiers.
- Customer-facing AI output needs a named human reviewer until it has earned trust with logs.
- A tool nobody will own gets shut off.

## Output requirements

- The three biggest exposures, named.
- Minimum viable policy in four parts.
- A method for finding unknown tools.

## Quality checks

- The policy fits your company size.
- One owner is named.
- The inventory method finds unsanctioned tools, not just licensed ones.

## Limitations

- Policy does not equal behavior. Budget for the conversation, not just the document.
- This is operational governance, not legal advice. Regulated industries need counsel.

## Example input

14 AI tools in use across sales and marketing, 5 expensed individually. No approval process. Reps paste CRM notes into free chat tools.

## Example output

Exposures: customer data flowing into free tools with no data terms, unreviewed customer-facing output, and spend nobody owns. Minimum policy: all tools touching customer data approved by the RevOps lead; a provided, approved assistant so reps stop using free ones; human review on outbound AI content; a kill process any leader can trigger. Find unknown tools quarterly via expense reports and a two-question team survey.

## Review checklist

- Owner named?
- Free-tier tools covered by the policy?
- Quarterly review scheduled?

## Works with

- Playbook: Get shadow AI into the light (L3) (org, L3) https://www.therevenueaireport.com/playbooks/get-shadow-ai-into-the-light-l3
- Playbook: The agent control plane (L4) (revops, L4) https://www.therevenueaireport.com/playbooks/agent-control-plane-l4
- Playbook: Company operating policy rebuilt for agents (L6) (general, L6) https://www.therevenueaireport.com/playbooks/agent-operating-policy-rebuild-l6
- Tool: Viable (AI Agents & Workflow) https://www.therevenueaireport.com/tools/viable
- Tool: Structured (Data & Analytics) https://www.therevenueaireport.com/tools/structured
- Tool: Alation (Data & Analytics) https://www.therevenueaireport.com/tools/alation
- Tool: Ataccama ONE (Data & Analytics) https://www.therevenueaireport.com/tools/ataccama-one
- Tool: Metabase (Data & Analytics) https://www.therevenueaireport.com/tools/metabase

## Rules of conduct

- Write for a Director, VP, or operator. Short sentences. Explain uncommon terms.
- Separate facts from assumptions. Never hide uncertainty.
- Do not invent numbers, benchmarks, quotes, or customer names.
- Do not send messages, change CRM records, or publish anything unless the user explicitly asks.
- Flag when a decision needs human review.

## Evidence

This skill is grounded in The Revenue AI Report research:
- https://www.therevenueaireport.com/research/trust
- https://www.therevenueaireport.com/research/rollback
- Related analysis: https://www.therevenueaireport.com/blog/ai-sdr-kill-criteria-before-you-sign




Source and updates: https://www.therevenueaireport.com/skills/review-ai-governance
