In plain English
AI governance is the set of frameworks, policies, and processes an organisation puts in place to manage the responsible development, deployment, and oversight of AI. It covers which tools are approved, how outputs are monitored, who is accountable, and how the organisation meets obligations like the EU AI Act and data protection law. Done well, it makes AI adoption sustainable rather than slowing it down.
Why it matters
Governance is how a board or leadership team keeps AI aligned with the law and the organisation's values without micromanaging the technology, much like financial controls.
A worked example
A company that names an AI lead, keeps a register of approved tools, and requires human review of high-stakes outputs has the beginnings of real governance.
Common confusion
Governance is not just box-ticking for compliance. At its best it is an ongoing practice that catches problems early and builds trust.