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Glossary

What is AI governance?

The named answers to who approved this system, who is accountable when it is wrong, what it is allowed to touch, and how anyone would notice it degrading. Not a document. Four answers with names against them.

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Most governance work that gets bought is a policy document, and most policy documents do not survive the first real incident, because they describe intentions rather than mechanisms. The version that holds is much smaller and much more specific: a named owner per deployed system, a stated boundary of what it may read and write, a defined review point, and a measurement that would reveal drift before a user does.

Readiness and opportunity assessment belongs to the audit stage; ongoing oversight of deployed systems belongs to the advisory stage. Neither is a separate service line because both are already part of those stages.

How it differs
On this AI governance An AI policy document
What it contains An owner, a boundary, a review date and a measurement, per system Principles, and a commitment to be responsible
What happens in an incident Somebody is called, and the boundary says what was possible The document is read for the first time
How it is checked Against the systems actually running Against the approval that adopted it
When it is the right answer
When a board or a risk committee asks for it. Bring the four answers rather than the document; the document is the easy part and it is not what they are exposed by.

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If a term here is the one your board paper turns on, ask us about it.

We will send the entry, the evidence behind it, and the note about where it does not apply.

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