RYRService · Assurance
Independent AI auditing that tests the control, not the claim.
We provide independent assurance over your models, data pipelines and third-party AI: the evidence a regulator or board will actually accept.
The problem
Internal teams grade their own AI homework. When a board, regulator or partner asks 'how do you know?', a self-declared control and an independently tested one are not the same thing.
AI audit readiness is where many governance programmes discover their controls exist on paper but leave no evidence trail.
Why it matters
As AI moves into decisions that affect customers and citizens, independent AI assurance is shifting from good practice to expectation across GCC regulators. The organisations that test their controls before an incident are the ones that keep the board out of the headline.
How the engagement runs
Define scope
Agree the systems, controls and standard, ISO/IEC 42001 or the NIST AI RMF, in scope.
Examine
Review policies, registers, model documentation and data lineage.
Test
Independently test AI controls against evidence, not attestations.
Assess third parties
Evaluate vendor and third-party AI assurance and contractual controls.
Report
Deliver findings, severity ratings and a prioritised remediation path.
What you receive
- Audit report: control-by-control findings with evidence and severity.
- Evidence gap log: where a control exists but cannot yet be proven.
- Third-party assurance view: the AI risk carried by your vendors and suppliers.
- Remediation roadmap: prioritised actions to reach audit readiness.
Frequently asked questions
Is this a certification audit?
No. This is independent internal assurance. It is the ideal preparation for a certification audit, but the certificate itself is issued by an accredited body.
Can you audit AI you did not help build?
Yes, and independence is stronger when we did not. We audit models, pipelines and vendors regardless of who implemented them.
What standards do you audit against?
Typically ISO/IEC 42001 and the NIST AI Risk Management Framework, plus your own internal AI policy and any sector-specific obligations.
How disruptive is an AI audit?
Low. Most of the work is evidence review and targeted testing. We scope interviews tightly and work around your teams.
Executive briefing
Would your AI controls survive an audit?
A 45-minute briefing on scope and evidence.
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The documents and records ISO/IEC 42001 requires — and why they are the evidence base an audit will test.
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