A company has an AI policy and a security team that reviews requests when asked. A large customer asks who is accountable for AI decisions and how often leadership reviews them. There is no clear answer, no minutes, and no list of what was approved.
Boards fail in two ways. Too large or too senior, they cannot meet often and decide nothing. Too informal, they leave no record and nobody can show that governance actually happened. Both fail the moment an auditor asks for evidence.
RAMP gives the board the inputs and keeps the record: the AI register, each system's requirements document and approval history, the risk position in dollars, and a board briefing. Decisions, conditions, and owners stay attached to the system they concern, so the board's work is evidence an auditor can read.
Who sits on it
What it decides
If the board cannot name the AI systems in use today, it is not yet governing; the register comes first.
How it runs
Frequently asked questions
- What is an AI governance board?
- A standing, cross-functional group that sets the rules for AI use, reviews higher-impact AI systems, decides on residual risk, and assigns an owner to every AI system.
- Who should be on an AI governance board?
- Security, finance, legal and privacy, an engineering or data leader, and a business sponsor. Smaller companies can combine roles and keep the group to four or five people.
- How often should an AI governance board meet?
- At least quarterly, and more frequently while the AI register and approval process are being established. Each meeting should work from a short briefing and produce recorded decisions.
Name the members, set the calendar, and give the first meeting one job: review the AI register. The board becomes real when its decisions are written down.