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Guidance for AI Adoption to ISO 42001

A free crosswalk from Australia's Guidance for AI Adoption (AI6) to ISO/IEC 42001: all 21 implementation practices, each mapped to the clauses and controls that meet it and the document where it belongs, with a column for status and owner. Copy it or download it as Word, no sign-up. It is honest about the 3 practices ISO 42001 only partly covers, and PolicyMint can write it for your own AI systems.

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Free crosswalk

Free AI6 to ISO 42001 crosswalk

The complete AI6 crosswalk, free to copy from this page or download as an editable Word document. No sign-up. Replace every [bracketed placeholder] with your own details, delete anything that does not apply, and have it approved before you rely on it. The guide below explains what each section has to contain and what an auditor checks.

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Guidance for AI Adoption to ISO 42001 Crosswalk - Template

Maps the National AI Centre's six essential practices (AI6) to ISO/IEC 42001 and to the documents that meet them. Replace the bracketed placeholders, then fill in each status and owner.

[Organization] uses this register to show how its AI management system meets the Guidance for AI Adoption, published by the National AI Centre in October 2025. For each implementation practice it records the ISO/IEC 42001 clauses and controls that correspond to it, the document where [Organization] meets it, its current status and its owner.

1. Purpose and scope

The Guidance for AI Adoption is voluntary. It sets out six essential practices for responsible AI governance, with implementation practices under each. ISO/IEC 42001 is the certifiable standard for an AI management system. This register maps one to the other, so [Organization] can show where its AI management system already meets the guidance and see where it does not yet.

It covers [the AI systems in scope, for example a customer support chatbot and Microsoft 365 Copilot]. Parts of some practices are marked in the guidance as applying to developers; they apply to [Organization] only if it builds, trains or fine-tunes its own AI models.

2. How to read this register

Each table covers one essential practice. The ISO/IEC 42001 column lists the clauses and Annex A controls that correspond to each implementation practice; "(partial)" marks the three practices ISO 42001 only partly covers. The status of each practice is one of:

  • In place: documented and operating, with evidence
  • Partly in place: documented or operating, but not both, or not for every AI system
  • Planned: not yet in place, with an owner and a target date under Gaps and next steps
  • Not applicable: does not apply to [Organization], with the reason

3. Practice 1: Decide who is accountable

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
1.1 Accountable peopleA named, competent person accountable for the AI management system and for each AI system, including third-party AI, testing and complaints.5.1, 5.3, A.3.2AI roles and responsibilities policy; AI management system policy[status][owner]
1.2 Supply chain accountabilitiesWho is responsible for what across the AI supply chain (developers, vendors, integrators), including monitoring, human oversight and reporting faults.A.10.2, A.10.3, A.10.4Third-party and customer relationships policy; supplier contracts[status][owner]
1.3 AI literacy and trainingTraining needs assessed and met, for staff generally and for the people accountable for or overseeing each AI system.7.2, 7.3, A.4.6AI competence and training record; AI resources policy[status][owner]
1.4 AI governance frameworkAn AI policy, processes and goals in line with strategy and the laws that apply, run as a management system that finds and fixes its own gaps.4.1, 4.4, 5.2, 6.3, 10.2, A.2.2, A.2.4AI management system policy; AIMS scope statement; corrective action register[status][owner]

4. Practice 2: Understand impacts and plan accordingly

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
2.1 Identify and engage stakeholdersWho each AI system affects and how, including vulnerable groups, unwanted bias, personal information and decisions about people, assessed with input from those affected.4.2, 6.1.4, A.5.2, A.5.4, A.5.5, A.9.4AI system impact assessment procedure; AIMS scope statement[status][owner]
2.2 Establish feedback and redress processesAccessible ways for people to raise concerns, question or contest AI use and decisions, and have things put right.A.3.3, A.8.3Transparency policy; AI roles and responsibilities policy[status][owner]
2.3 Monitor for systemic issuesComplaints and challenges reviewed across the organization to find and fix systemic problems.9.1, 10.2AI monitoring and measurement record; corrective action register[status][owner]

5. Practice 3: Measure and manage risks

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
3.1 Establish a fit-for-purpose risk management frameworkAn AI-specific risk framework with a stated risk tolerance, impact and risk assessment processes, and risks from suppliers included.6.1.1, 6.1.2, 6.1.4, A.10.3AI risk management policy; AI risk assessment and treatment methodology[status][owner]
3.2 Assess AI system risksA triage of which AI systems need more attention, then a documented risk assessment for each system and use case, bought or built.6.1.2, 8.2AI risk register; AI risk assessment and treatment methodology[status][owner]
3.3 Implement controls for AI system risksA treatment plan for each risk, controls in proportion to it, and a check that the controls worked.6.1.3, 8.3AI risk register; AI Statement of Applicability[status][owner]
3.4 Monitor and report incidentsAI incidents tracked and reported to regulators or the public where required, including notifiable data breaches, and the lessons used.A.8.4, 9.1, 10.2Transparency policy; corrective action register; incident and data breach response plans[status][owner]

6. Practice 4: Share essential information

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
4.1 Maintain an AI registerAn up-to-date register of every AI system, built, bought or embedded in other software, with its owner, purpose, risks and reviews.A.4.2, A.6.2.7AI system inventory[status][owner]
4.2 AI system transparency and explainabilityPeople told when and how AI is used, and what its capabilities, limits and risks are, in terms they can understand.A.8.2, A.8.5, A.6.2.7Transparency policy; AI system life cycle and development policy[status][owner]
4.3 Supply chain transparencyThe technical and testing information needed from AI suppliers obtained, problems reported back to them, and both written into contracts.A.10.3, A.10.4, A.8.2Third-party and customer relationships policy; supplier contracts[status][owner]
4.4 AI-generated content transparencyLabelling or disclosure of AI-generated content, in proportion to the risk. ISO 42001 has no control written for this; transparency is its nearest home.A.8.2, A.8.5 (partial)Transparency policy[status][owner]

7. Practice 5: Test and monitor

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
5.1 Pre-deployment testingAcceptance criteria and tests for the intended use before an AI system goes live, supplier test results requested, and deployment signed off by its owner.A.6.2.4, A.6.2.5, A.10.3AI system life cycle and development policy[status][owner]
5.2 Monitor system performanceMetrics and monitoring for each AI system after deployment, matched to its risks, with regular performance reviews.A.6.2.6, 9.1AI system life cycle and development policy; AI monitoring and measurement record[status][owner]
5.3 Conduct additional testing proportionate to riskFurther safety evaluation, independent review or auditing for higher-risk systems. ISO 42001 does not require independent testing; the risk treatment decides when it is needed.A.6.2.4, 6.1.3 (partial)AI system life cycle and development policy; AI risk register[status][owner]
5.4 Implement robust data and cybersecurity measuresData governance, privacy and cybersecurity extended to AI: data rights, quality and provenance, the Australian Privacy Principles, and AI-specific security risks.A.7.2, A.7.3, A.7.4, A.7.5, A.7.6, A.4.3, A.2.3Data management for AI policy; privacy policy; information security controls[status][owner]

8. Practice 6: Maintain human control

PracticeWhat it expectsISO/IEC 42001Where it is metStatusOwner
6.1 Maintain human oversight and controlHuman oversight through the life of each AI system, the means to intervene, and training for the people who oversee it.A.9.2, A.9.3, A.9.4, A.6.2.6, 7.2AI management system policy; AI system life cycle and development policy; AI competence and training record[status][owner]
6.2 Decommission when appropriateCriteria and an owner for retiring an AI system, a plan that keeps critical services running, and its data extracted, returned or deleted. ISO 42001 has no control written for decommissioning; the life cycle policy is its home.A.6.1.3, A.6.2.6 (partial)AI system life cycle and development policy[status][owner]

9. Gaps and next steps

Every practice that is Partly in place or Planned has an action here, with an owner and a target date.

PracticeActionOwnerTarget date
[for example 4.4][for example Label AI-generated images in marketing material][role][date]
[practice][action][role][date]

10. Review

[role] reviews this register [annually], and also when the National AI Centre updates the guidance, when [Organization] adopts a new AI system, and when it starts building or training its own models.

This crosswalk is PolicyMint's own reading of the Guidance for AI Adoption against ISO/IEC 42001:2023. It is a starting point, not legal or audit advice: check it against your own systems before you rely on it.

The guide

The six practices, and where each lands in ISO 42001

6
sections
3
with real wording
6
questions you will be asked
4
failure modes
half a day
to write it yourself

The Guidance for AI Adoption is Australia's national guidance for responsible AI governance, published by the National AI Centre in October 2025. It sets out six essential practices, often called AI6, and comes in two versions: Foundations, for organizations starting out, and the implementation practices, with the detail this crosswalk maps.

The guidance says its implementation practices draw on and align with standards including ISO/IEC 42001, but its own crosswalk maps them to the 2024 Voluntary AI Safety Standard instead. Below is each practice, what it asks, and where the crosswalk puts it. The 3 that ISO 42001 only partly covers carry the crosswalk's own wording for that row.

  1. Decide who is accountable

    What it must contain

    A senior owner for AI governance, an AI policy, a named person for every AI system, training for those people, clear accountability across the AI supply chain, and a governance framework the policy grows into.

    Where it lands in ISO 42001

    Leadership and roles (clauses 5.1 and 5.3, control A.3.2), competence and awareness (7.2 and 7.3), supplier and customer responsibilities (A.10) and the management system itself (4.4). This is the practice ISO 42001 covers most completely.

  2. Understand impacts and plan accordingly

    What it must contain

    Know who each AI system affects, paying particular attention to vulnerable groups; give people a way to report problems and contest AI decisions; and watch that feedback for systemic issues.

    Where it lands in ISO 42001

    The AI system impact assessment (6.1.4 and A.5), external reporting for the people affected (A.8.3), and monitoring and corrective action (9.1 and 10.2). Contestability is where most ISO 42001 sets are thinnest: the standard asks for a way to report, the guidance asks for redress.

  3. Measure and manage risks

    What it must contain

    Screen AI systems for risk, assess each system and use case, apply controls in proportion to the risk, and investigate and report incidents.

    Where it lands in ISO 42001

    AI risk assessment and treatment (6.1.2, 6.1.3, 8.2 and 8.3) and the AI Statement of Applicability. The guidance's triage step belongs in the risk methodology, and its incident reporting in A.8.4 and corrective action.

  4. Share essential information

    What it must contain

    Keep an AI register, tell people when they are dealing with AI, explain what it can and cannot do, be transparent across the supply chain, and be clear about AI-generated content.

    Where it lands in ISO 42001

    The AI system inventory (A.4.2), information for interested parties (A.8) and supplier relationships (A.10). Content labelling is the gap: ISO 42001 has no control written for it.

    Wording that works
    Labelling or disclosure of AI-generated content, in proportion to the risk. ISO 42001 has no control written for this; transparency is its nearest home.

    Marking it partial, rather than claiming transparency policy covers it, gives it its own action and keeps the rest of the crosswalk credible.

  5. Test and monitor

    What it must contain

    Ask suppliers for proof of testing, test before deployment, monitor after it, extend data governance and cybersecurity to AI, and test harder where the risk is higher.

    Where it lands in ISO 42001

    Verification, deployment and monitoring in the AI life cycle controls (A.6.2.4 to A.6.2.6), data for AI systems (A.7) and monitoring (9.1). Independent testing is the gap.

    Wording that works
    Further safety evaluation, independent review or auditing for higher-risk systems. ISO 42001 does not require independent testing; the risk treatment decides when it is needed.

    It ties the guidance's higher bar to a decision the management system already makes, so independent testing happens where the risk assessment says, not everywhere or nowhere.

  6. Maintain human control

    What it must contain

    Human oversight matched to how autonomous and high-stakes each system is, points where a person can pause, override or shut it down, training for the people overseeing it, and a plan to retire a system without losing a critical service.

    Where it lands in ISO 42001

    Responsible and intended use (A.9.2 to A.9.4) and operation and monitoring (A.6.2.6). Decommissioning is the gap: ISO 42001 has no control written for it.

    Wording that works
    Criteria and an owner for retiring an AI system, a plan that keeps critical services running, and its data extracted, returned or deleted. ISO 42001 has no control written for decommissioning; the life cycle policy is its home.

    It names the three things a retirement plan needs, and where they live, so a system can be switched off without a scramble.

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When it comes up

What customers, boards and auditors ask

Nobody certifies against the guidance, but customers' AI questionnaires, boards and ISO 42001 auditors ask the questions it raises. Each of these is answered by a row of the crosswalk and the document it points to.

Do you follow Australia's Guidance for AI Adoption?

Satisfies This crosswalk: each practice, where you meet it, its status and owner, and an action for every gap.

Fails "We are working towards ISO 42001," with nothing to show which practices that covers.

Which AI systems do you use, and who is accountable for each?

Satisfies An AI register naming every system, including AI built into other software, each with a named owner.

Fails A list of the tools IT bought, missing the AI features switched on inside them.

How can someone question a decision your AI made?

Satisfies A published way to raise a concern or contest an outcome, a person who responds, and a record of what was done.

Fails A generic contact form that never mentions AI.

What testing happened before this went live?

Satisfies Acceptance criteria for the intended use, the results, the supplier's evidence and a sign-off by the system's owner.

Fails "The vendor says it is accurate."

How would you stop it if it went wrong?

Satisfies A documented way to pause, override or switch off each system, who may do it, and what keeps the service running meanwhile.

Fails Nobody is sure who has the admin login.

Where does your ISO 42001 work not cover the guidance?

Satisfies The three partial practices, marked as such, each with its own action.

Fails A claim that certification covers everything.

Failure modes

Where AI6 mappings go wrong

  • Mapping six headings instead of 21 practices

    The six essential practices are headings. The implementation practices under them are what a customer or assessor reads, and two practices under one heading can land in different parts of ISO 42001. Map each one, or the crosswalk says less than it seems to.

  • Assuming ISO 42001 covers all of it

    It covers most of the guidance, not all. Labelling AI-generated content, independent testing for higher-risk uses and decommissioning have no control of their own. Mark them partial and give each an action, rather than letting a certificate stand in for them.

  • Saying you comply

    The guidance is voluntary and nobody certifies against it, so a compliance claim overstates what anyone can check. Saying where you meet each practice, and where you do not yet, is honest and can be verified.

  • Copying developer practices into a user's register

    The guidance marks some parts for developers: model and system cards, sharing technical details downstream, safety evaluations of model capabilities. If you only use third-party AI, those parts sit with your suppliers, and your job is to ask for their evidence. Saying so is more credible than claiming work you do not do.

From crosswalk to audit-ready

The documents the crosswalk points to

A crosswalk is only as good as the documents in its last column. Most rows land in a handful of them: the AI policy, the AI risk assessment and impact assessment, the AI system inventory, and the life cycle and transparency policies. The free AI policy, AI risk assessment and AI impact assessment templates cover three of them, and if your AI suppliers are part of the picture, the AI vendor security addendum covers the supply chain rows from the contract side.

For the whole picture, see what ISO 42001 requires and the documents you need. ControlStack has a plain-English breakdown of the ISO 42001 framework if you want the controls on their own terms.

See the real output

What PolicyMint generates

The same tables, written for your organization: each practice described for the AI you actually build or use, developer-only parts handed to your suppliers if you only buy AI, each status taken from what you tell us and marked for confirmation where we cannot know it, and an action for every gap. It carries your branding and exports to Word, PDF or Excel. The cover in the hero and the page below are that output, generated for an example company.

A body page of a generated AI6 crosswalk, showing numbered clauses written for a specific business with the placeholders resolved.
One page of the generated document, for an example company. The trial produces the whole document, not a sample.

Where the guide says [role] or [system], the document says yours; where PolicyMint cannot know a fact, it asks rather than guesses.

The PolicyMint guided review: a generated scope statement with one highlighted sentence that needs the reader's input, and beside it a review panel explaining what is needed, a field to answer it, and the choice between having the answer written in or inserted exactly as typed.

The one fact this document could not know stays highlighted in the document and the export. The review explains what is needed and writes your answer in. Nothing is invented. Fictional demo data.

Side by side

Filling it in yourself vs generating it

Scroll the table sideways to compare both routes.

Dimension Filling it in yourself Generating it with PolicyMint
The mapping This page: all 21 practices mapped to ISO 42001, free. The same mapping, with what each practice means for your own AI systems written in.
Status You assess each practice and keep the evidence. Set from what you tell us is already in place; anything we cannot know is marked for you to confirm.
Gaps You write an action for each gap. One action per gap, with an owner, consistent with your other documents.
Checking it Nobody, until a customer or an auditor asks. Three independent verifiers before you see it.
Making it look like yours Your own formatting, headers and approval block. Your logo and colors, exported to Word, PDF or Excel.
The documents it points to The crosswalk names documents you still have to write. They come from the same profile, so every reference is real. Your first document is free.
ISO 27001 documents

36

ISO 27001 documents

tiered by what you actually need

ISO 42001 documents

21

ISO 42001 documents

for AI management systems

Clauses and controls mapped

182

Clauses and controls mapped

every document cites the ones it satisfies

Verifiers per section

3

Verifiers per section

on a different model to the writer

AI6 and ISO 42001 FAQ

The questions people ask

Including whether the guidance is mandatory, and whether ISO 42001 certification covers it.

What is the Guidance for AI Adoption (AI6)?

The Guidance for AI Adoption is Australia's national guidance for responsible AI governance, published by the National AI Centre in October 2025. It sets out six essential practices, often called AI6: decide who is accountable, understand impacts and plan accordingly, measure and manage risks, share essential information, test and monitor, and maintain human control. It comes in two versions: Foundations, for organizations starting out, and the implementation practices, with the detail.

Is the Guidance for AI Adoption mandatory?

No. It is voluntary guidance. It does not replace the laws that already apply to AI, such as privacy and consumer law, or your existing data, privacy and cybersecurity frameworks, which the guidance expects you to keep and extend to AI.

How does AI6 relate to the Voluntary AI Safety Standard?

It is the first update to it. The 2024 Voluntary AI Safety Standard had ten guardrails; the Guidance for AI Adoption condenses them into six essential practices and widens the audience to developers as well as deployers. The National AI Centre publishes a crosswalk from the old guardrails to the new practices.

Does ISO 42001 certification mean we meet AI6?

Mostly. The National AI Centre says the implementation practices draw on and align with standards including AS ISO/IEC 42001:2023, and a working ISO 42001 management system meets most of them. Three are only partly covered: transparency for AI-generated content, additional testing in proportion to risk, and decommissioning. The crosswalk marks each so you can close them separately.

Is this an official crosswalk?

No. The National AI Centre's own crosswalk maps the guidance to the 2024 Voluntary AI Safety Standard, not to ISO 42001. This one is PolicyMint's reading of the implementation practices against ISO/IEC 42001:2023. It lists clause and control numbers only, never the standard's text.

Do we need ISO 42001 to follow the Guidance for AI Adoption?

No. The guidance stands on its own, and its Foundations version is written for organizations just starting with AI. ISO 42001 is the route when you want a certifiable management system or a customer asks for one; the crosswalk lets you work toward both at once.

Is this AI6 crosswalk free to download?

Yes. The complete crosswalk is on this page and as an editable Word document, with no sign-up and no card. Fill in each status and owner, and add an action for every gap. If you would rather have it written for your organization, with each practice described for your own AI systems, PolicyMint generates it and your first document is free; we ask for a card only when you download that one, and it is not charged.

How much does an ISO 42001 document set cost?

PolicyMint's Full ISMS / AIMS pack is a one-time A$350US$229£179€209 including GST and covers a complete certifiable ISO 42001 set of 21 finished documents, or a complete ISO 27001 set of 36. Each document is drafted from your own business profile, checked by three independent verifiers before you see it, and exported in your branding as Word, PDF and Excel. There is no subscription and credits are valid for 18 months. Your first document is free, card required.

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