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AIRiskAware is a specialist AI risk governance and compliance resource. We turn fast-moving regulation, the EU AI Act, ISO 42001, APRA's expectations, and the AIRA Framework, into primary-source-verified research, frameworks, and tools for boards, executives, and the professional-services and law firms that advise them. Independent advisory and fractional-CRO support are an emerging part of what we do.
AI risk is now a material concern for organisations of every size, but the quality of guidance available to address it is wildly uneven. Enterprise organisations face dense regulatory frameworks, fragmented standards, and compliance consultants whose AI expertise is often broader than it is deep. Small businesses and individuals face an information landscape full of hype, generalities, and advice that doesn't translate to their context.
AIRiskAware was built to address this gap. We provide specialist AI risk and governance expertise, grounded in primary regulatory sources, aligned with established international standards, and translated into practical outputs that organisations can actually implement.
Our knowledge hub, articles, guides, assessments, and the AIRA Framework, is built on the same intellectual foundation as our advisory work, and is freely available because we believe clear, accurate AI risk information should not be the exclusive property of organisations with large compliance budgets.
Standards Alignment
ISO 42001
ISO/IEC 42001:2023
Compatible AI management system framework
ISO 31000
ISO 31000:2018
Aligned enterprise risk management methodology
NIST AI RMF
NIST AI RMF 2023
Compatible risk management framework
EU AI Act
Regulation (EU) 2024/1689
Compliance-focused advisory
Building operational governance structures, accountability frameworks, control registers, board reporting templates, and oversight mechanisms, aligned with ISO 42001, NIST AI RMF, and the EU AI Act.
Classification assessments, conformity assessment support, technical documentation review, and compliance roadmaps for organisations with EU market exposure, transparency obligations from 2 August 2026, high-risk AI (Annex III) from 2 December 2027.
Structured risk identification and classification across AI system portfolios, from individual system risk profiles to enterprise-wide AI risk exposure analysis and maturity assessment.
AI risk frameworks for VC and PE firms evaluating AI companies or AI-dependent assets, covering technical verification, regulatory exposure, data provenance, and governance maturity.
AI usage policies, governance charters, risk appetite statements, and standards documentation, practical instruments that translate governance principles into operational controls.
AI risk briefings, board reporting frameworks, risk committee structures, and executive education for leaders seeking to discharge their AI governance obligations with confidence.
Four principles that define every engagement and every piece of content we produce.
Governance that is proportionate to risk, not maximum complexity for its own sake. We design frameworks that fit the organisation, not frameworks borrowed from organisations ten times the size.
Governance that can be implemented and sustained. A framework that exists in documents but not in practice provides no protection. Everything we design is operational, not aspirational.
We have no commercial relationship with AI vendors, platforms, or software providers. Our recommendations are based on what is right for the organisation, not what we are incentivised to recommend.
Our research and analysis is grounded in primary sources, regulatory text, standards documents, court decisions, and peer-reviewed research. We do not treat secondary or paraphrased regulatory guidance as authoritative.
We work with enterprise organisations, investment firms, government agencies, and businesses of all sizes. Enquiries are treated as confidential and responded to within 2–3 business days.