Glossary Strategy & implementation

AI governance

What is AI governance?

AI governance is the set of agreements, roles and controls with which an organisation decides how AI is used, who is responsible and how risks are managed.

Also known as AI governanceresponsible AIAI oversight

In practice it means an AI policy, a register of AI applications, ownership per application, human oversight where needed and periodic review. It also helps with the obligations under the AI Act.

Governance does not have to be bureaucracy. For mid-sized organisations it often fits on a few pages and one fixed review per quarter.

AI governance is one of the six building blocks of an AI operating model.

Last updated: 20 October 2026

Relatedterms

Read on in the glossary

All terms

Approach & collaborationAI policyAn AI policy records how an organisation uses AI: which tools are allowed, which data must never go into them, where a person checks and who owns it.Strategy & implementationAI ActThe AI Act is the European law that sets rules for developing and using AI, with stricter requirements the more high-risk an application is.Strategy & implementationAI operating modelAn AI operating model is the way an organisation is set up when AI carries out a fixed part of the work: which tasks AI does, who decides and which data and agreements underpin it.Strategy & implementationAIOS (AI Operating System)An AIOS is an AI layer that sits on top of your existing systems, reads data from all of them at once, and runs processes that affect the whole organisation, not just the individual employee.

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