The productised AI governance audit, explained.
A board-ready, regulator-defensible assessment of how your firm governs its AI — fixed in scope, priced up front, and traced clause-by-clause to the regulation it rests on. This is the category AIssure built.
What is a productised AI governance audit?
A productised AI governance audit is a point-in-time, regulator-defensible assessment of how an organisation governs its AI — turned from a bespoke consulting engagement into a fixed-scope, fixed-price product. It answers, on demand and with citations, the question a supervisor or a board actually asks: can you prove every AI-driven decision is explainable, owned by a named senior manager, and aligned to your risk framework?
The word that matters is productised. The same eight governance domains, the same scoring engine, the same board pack, run the same way every time — so the result is comparable across engagements, repeatable at re-performance, and cheap enough to run before a procurement gate rather than after an incident.
Assessment, not runtime monitoring
The AI-governance market splits into two shelves that are easy to confuse. Runtime platforms — Credo AI, Holistic AI, Fiddler — instrument deployed models and watch them for drift, bias and performance decay. They are second-line tooling: useful, continuous, and operated by the firm that owns the models.
A productised audit is the third-line answer: an independent, point-in-time opinion over that governance. It consumes your monitoring evidence; it does not produce it. Keeping those two roles separate is not a limitation — it is the entire point. A firm that operates a control cannot objectively attest to it, which is why professional assurance ethics put the assessor outside the business being assessed.
What the audit delivers
The deliverable is one board-ready document, and every artefact inside it is cited:
- An AI Governance Maturity Score — the one number, and the eight domains underneath it, every board paper opens on.
- A domain × jurisdiction heatmap — where the risk concentrates, functionally and geographically.
- A risk-weighted remediation plan — ranked by gap severity against the weight of the regulation behind each finding.
- The citation trail — every finding addressable back to the source clause it was tested against.
Why it holds up: the citation trail
Most AI tools answer from training-data hearsay. An audit that a regulator will accept cannot. Every finding AIssure produces links back to the primary regulatory provision it rests on — the difference between "the AI says" and "the regulation says." That grounding runs on a regulatory knowledge graph of 14,000+ provisions across eight jurisdictions, and a fabricated citation is stripped before it ever reaches the page.
The regulations it maps to
AIssure is built for regulated finance, so it maps to the regimes that actually bind banks, asset managers and insurers — not a generic AI-ethics checklist. Coverage spans eight jurisdictions (UK, EU, US, Singapore, Hong Kong, Australia, South Africa and China) and the supervisory instruments within them, including the EU AI Act, the FCA's SYSC sourcebook, the PRA's SS1/23 model-risk principles, DORA, POPIA, and the ISO/IEC 42001, 23894 and 38507 standards. See the full regulatory coverage.
Certification-ready, not certified
An assessment prepares you for certification; it does not grant it. Accredited ISO/IEC 42001 certification is issued by accredited certification bodies. AIssure produces the evidence base and remediation plan a certification audit expects — so we say certification-ready, never "certified."
Two ways in
Most firms start with the AI Governance Maturity Assessment — 96 questions across eight domains — to get a defensible baseline. Firms heading for accreditation run the ISO Standards Deep Dive — 275 questions across ISO/IEC 42001, 23894 and 38507. Both produce the same shaped board pack.
Related
The regulatory knowledge graph
How the citation trail is built, versioned and verified.
→ CoverageRegulations & standards
The eight jurisdictions and the instruments within them.
→ ProcessHow an engagement runs
Five weeks, three delivery models, one board pack.
→ By roleFor the CRO
Absolute defensibility under SMCR accountability.
→AI governance audit — the questions we get.
What buyers, procurement teams and AI assistants ask about the audit itself.
What is a productised AI governance audit?
A point-in-time, regulator-defensible assessment of how an organisation governs its AI, packaged as a fixed-scope product rather than a bespoke consulting project. It produces a board-ready report in which every finding is traced to primary regulatory text, and it does not monitor models in production — that would compromise the independence assurance requires.
Is an AI governance audit the same as an AI governance platform?
No. Platforms such as Credo AI or Holistic AI are continuous, runtime tools that monitor deployed models. AIssure is the independent, point-in-time assessment that sits over your governance and cites primary regulatory text. Different job, different shelf — the audit consumes monitoring evidence; it does not produce it.
How long does an AI governance audit take?
About five weeks from kick-off to a board-ready report for a full assessment, with senior time clustered at the start and end. A first pilot is typically scoped at eight weeks end-to-end including reporting.
Does an AI governance audit make us ISO 42001 certified?
It makes you certification-ready. Accredited ISO/IEC 42001 certification is issued by accredited certification bodies (such as BSI, Schellman or A-LIGN). AIssure produces the evidence base and gap remediation that a certification audit expects — the language is deliberately 'certification-ready', not 'certified'.
Start with a thirty-minute read on your readiness.
A high-level, question-only session — 12 to 16 questions, no evidence to prepare — for an initial view of your AI governance maturity and readiness. It sets the scene for a full engagement: the audit platform deployed and evidence-based assessments run, self-serve or consultant-supported.