Enterprise AI Governance: Scaling Policy, Registry and Controls

Enterprise AI governance is the same three artefacts every organisation needs, a policy, a tool register, and attestation records, operated at a scale where a single shared document and an honour system stop being enough. As headcount, regulatory exposure, and the number of AI tools grow, governance needs roles, evidence, and controls that hold up to an audit. The goal is to add that structure without turning governance into theatre that everyone routes around.

What changes as you scale

At 20 people, one owner and a one-page policy is credible governance. At 500, you need defined roles (who approves tools, who owns the policy, who handles incidents), a versioned policy with a change history, a tool register that distinguishes approved, restricted, and prohibited tools by data type, and attestation that tracks every employee including new joiners. The substance is unchanged; the difference is that everything must now be provable to a customer or regulator, not just asserted.

The AI tool register becomes central

At enterprise scale the register is the workhorse. It records every AI tool in use, who owns it, what data flows into it, its risk rating, the approved use cases, and the date last reviewed. It doubles as vendor-management evidence for SOC 2 and as the system inventory the EU AI Act and ISO 42001 expect. Shadow AI is the biggest gap: the register is only as good as your ability to find the tools staff adopt without asking, so make requesting a new tool easier than going around the process.

Controls and evidence

Enterprises are asked not just whether a control exists but whether it operates. That means SSO on AI tools so access is centrally revocable, DPAs and BAAs on file for tools that touch regulated data, an approval workflow with a record of who approved what, and an audit log. Mapping these controls to a framework (ISO 42001 or SOC 2) turns your governance into evidence you can hand an auditor rather than a story you tell them.

Keeping it active, not decorative

The failure mode at scale is governance that exists on paper but not in practice: a policy no one has read, a register no one updates. Guard against it with a review cadence, annual re-attestation, and a named owner who is accountable. ModelCharter gives you the versioned policy, the tool register with approval states, and attestation tracking in one place, with framework control mapping on the Business tier for teams that need to show their governance to auditors. Governance that runs beats a perfect framework still being designed.