An Australian-developed AI governance framework is expanding internationally as businesses face growing pressure to demonstrate that artificial intelligence systems are governed, tested and monitored rather than simply covered by internal policies. Web Dance Pty. Ltd. has opened its AISOF framework to organizations and partner firms worldwide, offering independent assessment at the organizational, product and sector levels.
AI governance is moving from a policy exercise toward something enterprises increasingly need to demonstrate with evidence. Against that backdrop, Sydney-based Web Dance Pty. Ltd. is taking its AI Integrity and Secure Operations Frameworks (AISOF) beyond Australia, offering organizations and partner firms a structured way to assess AI governance and the operation of individual AI products.
The framework is designed around three assessment levels: organization-wide AI governance, individual AI products and services, and AI systems deployed in five sectors where failures can carry significant consequences. Web Dance says assessments are performed by independent approved assessors rather than being self-declared by the companies seeking certification.
That distinction is becoming more relevant as AI adoption accelerates. McKinsey’s 2025 State of AI survey found that 88% of respondents said their organizations regularly used AI in at least one business function, up from 78% the previous year. At the same time, most organizations remained in experimentation or pilot stages, highlighting the gap between deploying AI and building the governance infrastructure needed to operate it at scale.
Web Dance says it began developing AISOF in 2023, before many enterprises had formal AI governance processes in place. The framework now arrives as governments and standards bodies are putting more emphasis on measurable controls, lifecycle management and accountability.
Australia already has a voluntary AI Safety Standard that calls for accountability processes, risk management, data governance, system testing and meaningful human oversight. The standard is aligned with international approaches including ISO/IEC 42001 and the NIST AI Risk Management Framework.
Standards Australia separately adopted ISO/IEC 42001 as an Australian Standard in 2024. The management-system standard covers areas including AI governance, risk management, human oversight, performance evaluation and continual improvement.
The Australian government has also signaled a move toward legislation around AI-related standards. In July 2026, it announced plans to introduce Australian Standards for AI and said the standards were expected to be legislated early the following year.
AISOF is positioned as a complementary assessment framework rather than a replacement for those laws or standards.
Its AISOF-3300 framework focuses on organization-wide AI governance. According to Web Dance, organizations can progress through Bronze, Silver and Gold levels based on their governance maturity. The framework addresses areas including internal AI use, workforce oversight, vendor AI and operational accountability.
AISOF-3100 takes a narrower approach by assessing a named AI product, platform, SaaS service or system. The product receives a one-to-five-star rating, with the assessment applying only to the specific product examined rather than automatically extending to a vendor’s broader portfolio. Web Dance describes controls covering transparency, human oversight, data integrity, security and accountable operation.
The remaining frameworks target automotive, healthcare, financial services, defense and education. These sector-specific standards are intended for AI products operating in environments where regulatory, safety, security or societal risks can be higher.
A notable feature of the framework is its emphasis on evidence. Web Dance says requirements specify how conformance should be demonstrated through observed practices, measured operation or verifiable records. Assessments can cover an AI system’s lifecycle, including intended use, human oversight, security, supply-chain considerations, post-release monitoring and incident response.
That evidence-based approach puts AISOF into a growing market of AI assurance and governance services. The competitive landscape already includes management-system standards such as ISO/IEC 42001, government guidance such as Australia’s AI Safety Standard, and risk frameworks such as NIST AI RMF.
The European Union is also moving deeper into enforcement. Most provisions of the EU AI Act became applicable in August 2026, while requirements covering certain high-risk AI systems are scheduled for December 2027 and high-risk systems embedded in regulated products for August 2028.
For enterprises, that creates a practical question: how can an AI governance policy be translated into evidence that procurement teams, boards, auditors, insurers or regulators can evaluate?
AISOF is attempting to answer that question through third-party assessment. Web Dance is also opening an authorized partner program for cybersecurity and risk firms, IT consultancies, systems integrators, AI and SaaS providers, and sector specialists.
The company operates a related software platform with AI policy and incident-response generators, workforce AI courses and an AI model certification service. Its platform also provides publicly verifiable credentials, according to Web Dance.
The larger trend is clear: as enterprises move AI from experiments into operational systems, governance is becoming an engineering and assurance problem rather than merely a compliance-document problem. Frameworks such as AISOF will compete not only on the controls they define, but on whether organizations and their customers consider the resulting assessments credible enough to influence purchasing, risk and deployment decisions.
Market Landscape
The AI governance market is becoming more fragmented but also more formalized. ISO/IEC 42001 provides an internationally recognized AI management-system approach, while Australia’s government-backed AI Safety Standard provides voluntary guardrails for organizations deploying AI.
AISOF takes a more assessment-oriented position, separating organization-wide governance from individual product assurance and sector-specific certification. Its opportunity will depend on whether enterprises view independent assessment as sufficiently differentiated from existing certification, risk-management and compliance programs.
The timing is significant. McKinsey reports that 88% of organizations now regularly use AI in at least one business function, while the EU and Australia are strengthening AI governance requirements.
For HR and workforce technology providers, the implications extend to AI recruiting, employee analytics, automated decision-making, workforce management and AI-enabled HR SaaS. Governance frameworks can increasingly become part of vendor due diligence as enterprises ask suppliers to demonstrate how AI systems are tested, monitored and controlled.
Top Insights
- AISOF expands Australian AI governance into global organizational, product and sector-specific assessment programs.
- Independent assessment is central to AISOF, distinguishing its certification model from self-attested responsible AI claims.
- McKinsey found 88% of organizations regularly use AI in at least one business function, increasing demand for governance controls.
- Australia and the EU are moving toward stronger AI oversight, increasing the importance of evidence-based governance and assurance.
- HR technology vendors could face greater pressure to demonstrate AI governance across recruitment, workforce analytics and employee-facing systems.
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