FrameworksISO 42001

ISO 42001 compliance software

Give AI governance a working structure.

Organise ISO 42001 controls and assess the gaps in your AI management system. Give the team a clear record of implementation and the evidence behind it.

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Shared control workspace used to organise framework implementation.

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Control library
Gap assessment
Programme view

A practical way to move forward

Know the work. See the progress.

One workspace for the requirements, the people doing the work and the records behind your next review.

Control library

Make the management system tangible.

Work through the ISO 42001 control library and record how your organisation implements the requirements. Keep responsibilities and supporting material connected to the work.

Framework-specific controls
Implementation status and evidence

Gap assessment

Find the missing pieces.

Assess the current position of your AI management system. Use the gaps to guide the next conversation with the teams developing, procuring or using AI.

Structured ISO 42001 assessment
Assessment results and coverage

Programme view

Keep progress in view.

Review the dashboard alongside your control records. Bring relevant policy, risk and evidence work from the wider platform into your management-system reviews.

Framework dashboard
Connected policy and evidence workspace

The detail behind the dashboard

Give every review a better starting point.

Move from a progress summary to the records that support it. Keep the next conversation focused on the work that needs attention.

Screens show example data. Shared platform features and availability depend on your plan.

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Shared evidence workspace: keep governance records available for review.Open full size

Start with the right scope

For organisations building a management system for responsible AI.

ISO/IEC 42001 specifies requirements for an AI management system for organisations providing or using AI products and services. It gives governance a management-system structure; legal AI obligations still need their own review.

ISO: ISO/IEC 42001 (opens in a new tab)

Use the work you already have

Find the overlap. Review the gaps.

Explore shared requirements and download a CSV. A mapping identifies related work; it does not certify compliance.

Explore ISO 42001 control mappings

You already run

You have been asked to add

10 of the 53 domains in this crosswalk appear in both EU AI Act and ISO 42001.

Domain	EU AI Act	ISO 42001
AI Impact Assessment	Art. 9(1)Has the organisation established, implemented, documented and maintained a risk management system for high-risk AI systems throughout their lifecycle? Art. 9(2)(a)Are known and reasonably foreseeable risks identified, analysed and estimated for each high-risk AI system? Art. 9(9)Are impacts on children, vulnerable groups and persons with disabilities specifically assessed in the risk management process?	A.5.2AI system impact assessment process A.5.3Documentation of AI system impact assessments A.5.4Assessing AI system impact on individuals or groups of individuals
AI System Requirements	Art. 15(1)Are high-risk AI systems designed and developed to achieve an appropriate level of accuracy, robustness and cybersecurity throughout their lifecycle? Art. 15(3)Is the AI system resilient to errors, faults, or inconsistencies that may occur within the system or its operating environment?	A.6.2.2AI system requirements and specification
AI Design & Development Documentation	Annex IV(2)Are the design specifications, general logic, algorithms, key design choices, and classification methodology documented?	A.6.2.3Documentation of AI system design and development
AI Verification & Validation	Art. 9(5)–(7)Is the AI system tested to identify appropriate risk management measures and ensure consistent performance? Annex IV(3)Are performance metrics, validation and testing procedures, and their results documented with clearly defined and explained metrics?	A.6.2.4AI system verification and validation
AI Technical Documentation	Art. 11(1)Is technical documentation drawn up before the AI system is placed on the market or put into service, and kept up to date? Annex IV(1)Does the technical documentation contain a general description of the AI system including intended purpose, developer identity, version, and how it interacts with hardware/software? Art. 11(2)Is the documentation maintained in a format suitable for assessment by conformity assessment bodies and market surveillance authorities?	A.6.2.7AI system technical documentation
AI Event Logging	Art. 12(1)Are high-risk AI systems designed and developed with capabilities enabling automatic recording of events (logs) throughout the system's lifetime? Art. 12(2)Do logging capabilities enable monitoring of the system's operation with respect to the occurrence of situations that may result in risks to health, safety, or fundamental rights?	A.6.2.8AI system recording of event logs
AI Data Governance	Art. 10(2)Are training, validation and testing datasets subject to appropriate data governance and management practices?	A.7.2Data for development and enhancement of AI systems A.7.6Data preparation
AI Data Quality	Art. 10(3)Are datasets relevant, sufficiently representative, and to the best extent possible free of errors and complete in view of the intended purpose?	A.7.4Quality of data for AI systems
AI Data Provenance	Art. 10(2)(c)Is the provenance, origin, and legal basis of all training datasets documented and traceable?	A.7.3Acquisition of data A.7.5Data provenance
Information for AI System Users	Art. 13(1)Are high-risk AI systems designed and developed to ensure their operation is sufficiently transparent to enable deployers to interpret output and use it appropriately? Art. 13(3)(a)–(b)Are instructions of use provided with each high-risk AI system, including the provider's identity, system characteristics, capabilities, and limitations of performance? Art. 13(3)(b)(ii)Do instructions clearly describe the level of accuracy, robustness and cybersecurity against which the system has been tested, and any known limitations?	A.8.2System documentation and information for users

A row means the two requirements cover the same ground, so one implementation and one set of evidence can usually serve both. It does not mean satisfying one certifies the other: each framework keeps its own scope, wording and assessment, and some requirements have no counterpart at all. Treat this as a starting map for planning, then confirm each row against the requirement text.

Go deeper

Your ISO 42001 reading list.

ISO 42001 vs the EU AI Act: do you need both?

Where a voluntary certification and a binding regulation overlap, and where a certificate settles nothing.

EU AI Act policies and documentation

What a provider and a deployer each have to hold, article by article.

AI literacy requirements (Article 4)

The competence duty that already applies, whatever risk tier your systems fall into.

Browse all 5 guides

Before you get started

A few useful answers.

Want to discuss your framework and current process?

Talk it through with us

Does ISO 42001 replace the EU AI Act?

No. ISO 42001 is a management-system standard. The EU AI Act is a legal framework with obligations that depend on your systems and role. Related governance evidence may be useful, but each needs a separate assessment.

Will Venvera certify our AI management system?

Certification is performed by an independent certification body. Venvera helps organise controls, evidence and gap assessments for your preparation and ongoing management.

Can we use our existing evidence?

Yes. Bring your policies and supporting evidence into Venvera and link them to the relevant controls. Cross-framework mappings help you identify reusable work; your team still reviews whether the evidence meets each requirement.

What is included in the trial?

The 14-day Professional trial includes up to five frameworks and unlimited users, with no credit card required. You can explore the controls, assess gaps and organise your compliance work. Framework modules are on paid plans; compare plans for feature availability.

ISO 42001 by Venvera

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