ISO 42001 readiness in Australia.
A gap analysis against ISO/IEC 42001, a prioritised remediation plan and evidence preparation for certification audit, led by a certified ISO/IEC 27001:2022 Lead Auditor.
Organisations across Australia are adopting AI faster than they are governing it. ISO/IEC 42001:2023, the international standard for an AI management system, is where readiness starts.
What the standard covers, and who leads the work
It covers the governance, risk and operating discipline an organisation runs around the AI it builds, buys or embeds in a product, reviewed the same way an information security management system is reviewed under ISO 27001.
Black Shard builds and operates production AI systems as well as assessing how other organisations govern theirs. Aurii, clinical software the firm built and operates, runs Azure AI Speech recognition and OCR pipelines and isolates tenant data with PostgreSQL row-level security in Azure's Australia East region. The firm's AI and automation engineering practice builds audit trails and guardrails around every automated action it ships. Readiness work for a client's AI management system is led from that engineering practice.
What ISO 42001 is, and who is asking for it
ISO/IEC 42001:2023 sets out what an organisation has to do to run AI responsibly and prove it: define the scope of its AI management system, assess and treat the risks each AI system carries, set policy and objectives, assign roles and competence, operate documented controls, monitor performance after deployment, run internal audits and hold management reviews.
The two-stage audit
Like ISO 27001, it follows the common high-level management-system structure, and an accredited certification body audits it in two stages: a documentation review, then an audit of the system in operation.
Who is asking for it
The demand is coming from three directions at once. Customers and enterprise buyers are adding AI governance questions to security questionnaires and vendor due diligence, on the same footing as the information security questions already there. Tender panels are naming ISO 42001 directly in some briefs, and asking how AI use is governed where a supplier has none. Boards are being asked by their own risk committees, by insurers and by the regulators that oversee their sector to show how AI use across the organisation is controlled.
What an AI management system actually contains
ISO/IEC 42001:2023 carries its requirements in seven clauses numbered 4 to 10: context of the organization, leadership, planning, support, operation, performance evaluation and improvement.
- An AI policy stating what is permitted, by whom, and under what oversight
- A system inventory naming every AI system in use or under development, including adopted third-party tools
- Risk assessment scoped to each system's specific use
- Impact assessment for systems that affect people, covering safety, rights and unreviewed outputs
- Controls across the AI life cycle, data governance, third-party AI and human oversight
- Monitoring after deployment, with performance and incidents feeding back into the risk register
Annex A and the Statement of Applicability
Annex A adds AI-specific controls in Table A.1, grouped under control objectives, selected against the AI risk assessment and the AI system impact assessment and recorded in a Statement of Applicability. The standard defines that statement as documentation of all necessary controls with justification for their inclusion or exclusion, and records that an organisation may not require every control Annex A lists, and may add controls of its own. The requirements apply to any organisation that provides or uses products or services utilising AI systems, regardless of size, type and nature. The clause-by-clause requirement, and the evidence a stage-two audit samples against each one, is set out in ISO 42001 requirements clause by clause, and the audit evidence.
Inventory, risk and impact assessment
The management system starts with an AI policy that states what the organisation permits, by whom, and under what oversight, and a system inventory that names every AI system in use or under development, from a customer-facing chat assistant to a model embedded inside a product, plus every third-party AI tool a team has adopted without anyone recording it.
Each system in that inventory is risk-assessed on its own terms. A statement that the organisation manages AI risk in general does not survive an auditor asking which system, used for what, assessed against which criteria. Where a system affects people, an impact assessment covers what that effect could be: a safety outcome, a decision that touches someone's rights, an output nobody checked before it reached them. Controls follow from both: over the AI life cycle from design to retirement, over the data the systems are trained or run on, over third-party and supplier AI, and over the human oversight built into each automated action. Monitoring closes the loop after deployment, tracking performance and drift and feeding incidents back into the risk register.
The AI system impact assessment
ISO/IEC 42001:2023 defines it as a formal, documented process by which the impacts on individuals, groups of individuals and societies are identified, evaluated and addressed. The standard carries it in three places. Clause 6.1.4 requires the process to be defined. Clause 8.4 requires it to be performed, at planned intervals and when a significant change occurs, with the results retained as documented information. Annex A.5, assessing impacts of AI systems, holds the controls that support it. That split is what an audit tests: a defined process with no performed assessment answers clause 6 and leaves clause 8 with nothing to sample.
The readiness assessment
Readiness starts with a gap analysis: the AI management system is scoped against the systems actually in use, and each clause and control in the standard is assessed as met, partial or missing against that environment.
- A gap analysis against ISO/IEC 42001, assessed against the AI systems actually in use
- A prioritised remediation plan sequenced against your target date: a tender, a board deadline or a certification audit
- Evidence preparation for the certification audit, built as the gaps close
- A gap analysis usable on its own, for organisations that need the governance uplift without pursuing certification
Stage-two evidence and sequencing
Certification, where that is the target, is a stage-two evidence audit in the same way ISO 27001 is. The auditor samples the internal audit, the management review, a risk assessment for a specific system, a monitoring record. A management system switched on weeks before the audit has nothing to sample.
The remediation plan is prioritised against whichever date is driving the work, a tender close, a board deadline, or a certification audit, and sequenced backwards from it: the machinery that needs elapsed time, the internal audit and management review cycle, starts first, so operating records accumulate while the rest of the gaps close.
How this maps to the Voluntary AI Safety Standard
The Australian Government published the Voluntary AI Safety Standard in September 2024: ten guardrails, written to align with international standards including ISO/IEC 42001.
- Accountability and governance
- A risk management process
- Protecting AI systems, and data governance
- Testing and monitoring
- Human oversight
- Informing end users about AI-enabled decisions, interactions and content
The other four guardrails
- A way for people affected to challenge the use or the outcome
- Disclosure across the AI supply chain about data, models and systems
- Record-keeping
- Stakeholder engagement
Guidance for AI Adoption, and the mapping to ISO 42001
The Australian Government published the Voluntary AI Safety Standard in September 2024: ten guardrails covering accountability and governance, a risk management process, protecting AI systems and data governance, testing and monitoring, human oversight, informing end users about AI-enabled decisions, interactions with AI and AI-generated content, a way for people affected to challenge the use or the outcome, disclosure to other organisations across the AI supply chain about data, models and systems, record-keeping, and stakeholder engagement.
In October 2025 the Department of Industry, Science and Resources published the Guidance for AI Adoption, six essential practices it describes as updated and simplified guidance that evolves the standard. Both are voluntary and self-assessed. There is no accredited audit and no certificate.
The guardrails were written to align with international standards including ISO/IEC 42001, and the overlap is substantial. An AI policy and accountable roles satisfy the governance guardrail, the risk assessment and treatment work satisfies the risk management guardrail, the system inventory and monitoring work satisfies testing and monitoring, and the human oversight controls satisfy the guardrail written for exactly that. An organisation that only needs to answer the Voluntary AI Safety Standard gets there through the same gap-analysis method, without certification-body cost. An organisation pursuing ISO 42001 certification gets the guardrails covered as part of the readiness work. Each guardrail, and the ISO/IEC 42001 clauses it maps onto, is covered in The Voluntary AI Safety Standard's 10 guardrails.
ISO 42001 and ISO 27001 together
The two standards share the same high-level management-system structure: scope, leadership, risk assessment, objectives, competence, operational controls, monitoring, internal audit and management review sit in both.
One management system for both
For a firm that already holds or is pursuing ISO 27001, standing up the AI management system as a separate, unrelated program duplicates work the information security management system already does. The internal audit schedule, the management review cadence, the risk register, and a share of the Annex A controls (access control, logging, secure development and supplier management among them) cover ground both standards need. An integrated management system runs both on one set of management machinery instead of two.
Who leads the work, and who certifies
Readiness work here is led by a director who holds the Exemplar Global Certified Lead Auditor credential for ISO/IEC 27001:2022. That credential's management-system audit discipline, scoping, risk treatment, control mapping and evidence-based internal audit applies to ISO/IEC 42001 the same way. Certification itself is issued by an accredited certification body: Black Shard prepares the organisation and its evidence for that audit.
What does ISO 42001 readiness cost?
Readiness runs as a defined program with milestones toward your target date, quoted before work starts.
- Scope: how many AI systems sit inside the boundary, including self-hosted, fine-tuned or embedded tools
- Starting position: AI governance, risk assessment or vendor due diligence already in place
- Gap depth: policy and process change, against engineering in a live system
- Runway: whether the target date leaves room for the internal audit and management review cycle
Certification-body fees, and how to start
Certification-body fees, where certification is the target, are separate, paid to the certification body directly, and recur on an annual and three-year cycle.
Send a brief to info@blackshard.com.au with the AI systems you have in mind, who is asking for ISO 42001 or the Voluntary AI Safety Standard, and your target date.
Questions, answered
What does the Lead Auditor credential bring to ISO 42001 work?
The credential is for ISO/IEC 27001:2022. What it brings to ISO 42001 readiness is management-system audit discipline, scoping, risk treatment, control mapping and evidence-based internal audit, applied to the AI standard.
Can Black Shard certify us against ISO 42001?
No. Certification is issued by accredited certification bodies after a documentation review and an audit of the management system in operation. A firm that did the readiness work cannot audit its own work. We prepare organisations for that audit; the certificate comes from the certification body.
Do we need ISO 42001 if we already meet the Voluntary AI Safety Standard, or the other way round?
Depends what is asking. The Voluntary AI Safety Standard is self-assessed with no certificate, which answers a buyer or board that wants AI governed responsibly. ISO 42001 is independently audited and certified, which a tender is more likely to name. The two overlap substantially, so work toward one covers most of the other.
How long does ISO 42001 readiness take?
The gap-closing work is rarely the constraint. For certification, the management system has to run long enough to generate the records a stage-two audit samples: an internal audit, a management review, a risk assessment tied to a real system. We sequence that machinery first, and say early if a target date does not leave room.
Do you work with organisations outside Brisbane?
Yes. An Australian firm, head office in Brisbane, delivering Australia-wide. Readiness work is largely remote: scoping, the gap analysis against your AI systems, documentation, and the management cycle all run without anyone travelling.
What is the AI system impact assessment under ISO 42001?
A formal, documented process by which impacts on individuals, groups and societies are identified, evaluated and addressed. Clause 6.1.4 requires the process to be defined, clause 8.4 requires it to be performed at planned intervals and on significant change, and Annex A.5 holds the supporting controls.
Is ISO 42001 recognised in Australia?
Yes. Standards Australia adopted it in February 2024 as AS ISO/IEC 42001:2023, an identical adoption. The clauses, Annex A controls and requirements are the same under either designation, so readiness work against ISO/IEC 42001 answers a tender, customer or board that names the AS designation.
Related reading
ISO 27001 readiness
Privacy Act uplift
Microsoft Copilot security review
Essential Eight assessment
Trust & security
The full practice: AI cyber defence.
Tell us which AI systems you run, and who is asking for ISO 42001.
Brisbane head office.