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Board inspection

The Module 14 capstone exercise in which a seven-seat AI board reviews a learner's complete dossier, including the estate hardening plan, testing whether every claim of "fixed" carries checkable evidence, every PERIMETER classification produced a genuine structural fix rather than a disguised specific patch, and every unresolved item carries a named, dated residual risk decision. (see Topic 14.1)

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).

How each discipline defines it

The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.

Certified AI Data Governance Professional (CADGP)

The Module 14 capstone exercise in which a seven-seat AI board reviews a learner's complete dossier, including the estate hardening plan, testing whether every claim of "fixed" carries checkable evidence, every PERIMETER classification produced a genuine structural fix rather than a disguised specific patch, and every unresolved item carries a named, dated residual risk decision. (see Topic 14.1)

Certified AI Governance Professional (CAIGP)

A structured audit in which multiple independent AI seats each read a governance dossier end to end and each raise evidence-backed findings from a different vantage point. It tests whether evidence exists, connects, and survives a skeptical reader, not whether the dossier is well written.

Certified AI Data Governance Professional (CADGP)

The Module 14 capstone exercise (Topic 14.2) in which the program's seven-seat AI board audits a learner's full dossier end to end, using the successor briefing as its primary navigational map through the rest of the evidence.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Board inspection starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Scopes an AI audit, sets criteria, samples, interviews, tests, writes findings with condition, criteria, cause, effect and recommendation, and tracks remediation.

One lesson on this page teach it as a primary outcome.

Establishes ownership, stewardship, councils, decision rights and issue workflows so data has a named owner and a defined meaning.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“internal audit”“independent review”“audit program”“audit procedures”“data governance”“data stewardship”

Where the frameworks place it: Global Internal Audit Standards; ISO/IEC 42001 Clause 9.2; ISO 19011; DAMA-DMBOK.

One interview question about it

How does an AI audit differ from an AI risk assessment, and what would make you refuse to sign an assurance opinion?

Asked of candidates for ai audit and independent assurance. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.