AI governance is the set of policies, records and reviews that make an organisation's AI use accountable and auditable.
2 min readupdated 2026-08-01
/ quick answer
Practical governance answers five questions on paper: which systems use AI and for what, what data they touch, who approved them, what the human oversight is, and how incidents are handled. In regulated contexts it also covers model documentation, retention and the ability to explain a decision. Governance is what turns a pile of automations into something a…
AI governance is the set of policies, records and reviews that make an organisation's AI use accountable and auditable. Practical governance answers five questions on paper: which systems use AI and for what, what data they touch, who approved them, what the human oversight is, and how incidents are handled. In regulated contexts it also covers model documentation, retention and the ability to explain a decision. Governance is what turns a pile of automations into something a board and a regulator can accept. In practice: An AI register listing 14 internal systems, each with an owner, a risk tier, a data classification and a review date. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Practical governance answers five questions on paper: which systems use AI and for what, what data they touch, who approved them, what the human oversight is, and how incidents are handled. In regulated contexts it also covers model documentation, retention and the ability to explain a decision. Governance is what turns a pile of automations into something a board and a regulator can accept.
Example
An AI register listing 14 internal systems, each with an owner, a risk tier, a data classification and a review date.
Practical governance answers five questions on paper: which systems use AI and for what, what data they touch, who approved them, what the human oversight is, and how incidents are handled. In regulated contexts it also covers model documentation, retention and the ability to explain a decision. Governance is what turns a pile of automations into something a board and a regulator can accept.
What is an example of AI Governance?
An AI register listing 14 internal systems, each with an owner, a risk tier, a data classification and a review date.
Why does AI Governance matter for AI and automation?
AI governance is the set of policies, records and reviews that make an organisation's AI use accountable and auditable. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.