Executive summary
AI governance makes AI adoption safer, more traceable, and more accountable without turning innovation into bureaucracy.
Risk model
Impact x likelihood matrix
Low impactMonitor and review periodically
High likelihoodAssign owner and due date
High impactEscalate to management reporting
Critical riskCreate action plan and evidence cadence
What it is
- It defines AI inventory, risk classification, and approval criteria.
- It governs data use, model outputs, human oversight, and third-party AI tools.
- It creates a shared decision model across legal, security, product, and business teams.
Who it applies to
- Companies using generative AI across business teams.
- Use cases involving customer data, personal data, intellectual property, or regulated decisions.
- Teams adopting AI vendors, chatbots, automation, or decision-support systems.
Why it matters
- Ungoverned AI can create data leakage, incorrect decisions, reputation risk, and regulatory exposure.
- Clear policy and inventory enable safe innovation rather than informal shadow AI.
- Customers and auditors increasingly ask for evidence of AI risk management.
Practical roadmap
- Create an AI usage inventory and data classification map.
- Define acceptable use rules and risk tiers.
- Add approval, logging, and human oversight for higher-risk use cases.
- Add security, privacy, and contractual controls for AI vendors.
- Build periodic executive reporting and incident learning loops.
Common mistakes
- Writing the AI policy as a list of bans only.
- Ignoring shadow AI use across departments.
- Treating accuracy, bias, data leakage, and contractual risk as separate topics.
Frequently asked questions
Does AI governance slow innovation?
It should not. A good model gives teams faster decisions by matching controls to risk tiers.
What is the first step?
Start with a short inventory of AI tools, data types, business use cases, and decision impact.
Related guides and resources
This page is educational and does not constitute legal advice, an audit opinion, or a compliance guarantee. Material decisions should be reviewed with qualified legal, compliance, and assurance advisors.