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GAAIGlobal Association of AI
GAAI Audit & Verification™

How AI-Ready Is Your Organization?

GAAI provides a structured pathway for organizations to assess AI readiness, identify gaps, improve practices, undergo applicable audit processes and demonstrate organizational AI maturity within a defined scope.

Verify an Organization

Why it matters

AI Adoption Needs Evidence, Not Just Claims.

Organizations are adopting Artificial Intelligence across products, operations, workforce processes and decision-making. As AI adoption grows, organizations need practical ways to understand their readiness, identify gaps and demonstrate responsible AI practices within a defined scope.

GAAI provides a structured framework for assessing organizational AI readiness and maturity.

Assess

Understand your current AI readiness.

Improve

Identify gaps and develop an improvement roadmap.

Audit

Evaluate applicable evidence, controls and practices.

Verify

Demonstrate qualifying results through an applicable GAAI verification record.

The organizational journey

From AI Readiness to Verified Maturity.

Assessment establishes a baseline. Audit examines evidence. Verification records the outcome within a defined scope.

ASSESSComplete the GAAI AI Readiness Assessment.
IDENTIFY GAPSCompare applicable practices against GAAI-400 requirements.
IMPROVEDevelop and implement an improvement roadmap.
AUDITA qualified auditor evaluates applicable evidence and controls.
VERIFYGAAI reviews qualifying assessment and audit results.
MAINTAINPeriodic reassessment and renewal help keep the verification current.
FAQ

Assessment, Audit and Verification Explained

These three words are often used interchangeably. In the GAAI framework they are distinct stages.

A structured way for an organization to understand its current AI readiness across applicable organizational areas, and to identify gaps. It is a starting point — it is not an audit and it is not verification.

GAAI-400 is the GAAI AI Organization Standard. It sets out organizational requirements and expectations covering AI strategy, governance, responsible AI, risk, data and security, workforce competency, operations, monitoring and continuous improvement.

An independent examination of applicable organizational AI practices, controls and evidence against the relevant requirements and scope, performed under the applicable GAAI requirements including independence and conflict-of-interest requirements.

An assessment establishes a baseline and is typically self-directed. An audit is an independent examination of evidence by a qualified auditor. Verification is a separate decision made by GAAI on qualifying results. An audit having taken place does not, on its own, mean an organization is verified.

GAAI AI READY™ indicates foundational readiness within the assessed scope. GAAI AI VERIFIED™ indicates demonstrated implementation of applicable GAAI organizational AI requirements within the assessed scope. GAAI AI EXCELLENCE™ indicates advanced governance, controls, monitoring and maturity within the assessed scope.

Not necessarily. Every verification record states the assessment scope. A record may cover a specific business unit, process, product, system or scope rather than the whole organization. A verification level should never be read as applying beyond the scope stated on the record.

Each verification record carries its own issue date and expiration date, and periodic reassessment and renewal help keep status current. Validity periods will be published by GAAI.

Search the Verified Organizations directory for active verification records, and the Certified AI Auditors directory for professionals holding applicable GAAI AI Auditor credentials. Note that holding the credential does not by itself mean an auditor is authorized for every GAAI assessment — where applicable, authorization status is shown separately. Auditors are also subject to independence and conflict-of-interest requirements, which can prevent them from assessing a given organization.

How AI-Ready Is Your Organization?

Start by understanding your current AI readiness and identify practical opportunities for improvement.

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