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FrameworksEU AI Act

EU AI Act compliance software

Know your AI obligations. Make the work visible.

Bring your AI inventory, classification, documentation and oversight into one workspace. Turn AI Act preparation into a programme your teams can coordinate.

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AI Act workspace: system inventory and governance progress.
AI Act workspace: system inventory and governance progress.
Real product screen · example dataExplore the workflow

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.

Inventory & classification

Start with the systems you actually use.

Record AI systems and work through classification. Give compliance and technology teams a common starting point for deciding what needs further review.

  • AI system inventory
  • Classification workflow
Documentation & oversight

Keep the governance record connected.

Organise technical documentation, data governance and human oversight records. Track impact assessment and conformity work where it is relevant to your systems.

  • Documentation and oversight records
  • Impact and conformity assessment workflows
Ongoing monitoring

Stay involved after deployment.

Record monitoring and AI incidents as the system changes. Keep general-purpose AI work and ongoing governance visible alongside the initial assessment.

  • Monitoring and incident records
  • General-purpose AI workflow

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: organise supporting material for review.
Shared evidence workspace: organise supporting material for review.Open full size

Start with the right scope

For compliance, legal and technology teams governing AI systems.

The AI Act uses a risk-based approach. Duties and application dates vary with the AI system, use case and your role, including provider or deployer. Confirm classification and applicable rules for each system.

European Commission: AI Act (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 EU AI Act control mappings
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10 of the 53 domains in this crosswalk appear in both ISO 42001 and EU AI Act.
DomainISO 42001EU AI Act
AI Impact Assessment
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
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?
AI System Requirements
A.6.2.2AI system requirements and specification
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?
AI Design & Development Documentation
A.6.2.3Documentation of AI system design and development
Annex IV(2)Are the design specifications, general logic, algorithms, key design choices, and classification methodology documented?
AI Verification & Validation
A.6.2.4AI system verification and 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?
AI Technical Documentation
A.6.2.7AI system 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?
AI Event Logging
A.6.2.8AI system recording of event logs
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?
AI Data Governance
A.7.2Data for development and enhancement of AI systems
A.7.6Data preparation
Art. 10(2)Are training, validation and testing datasets subject to appropriate data governance and management practices?
AI Data Quality
A.7.4Quality of data for AI systems
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?
AI Data Provenance
A.7.3Acquisition of data
A.7.5Data provenance
Art. 10(2)(c)Is the provenance, origin, and legal basis of all training datasets documented and traceable?
Information for AI System Users
A.8.2System documentation and information for 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 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 EU AI Act reading list.

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Before you get started

A few useful answers.

Want to discuss your framework and current process?

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Does every AI system have the same requirements?

No. Requirements depend on the system, its use and your role. Venvera helps record systems and classification work; your team must determine the legal obligations and application dates that apply.

Does Venvera certify AI systems?

No. It supports governance, documentation and assessment preparation. Any required conformity assessment, registration or legal determination must follow the process applicable to the system.

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.

EU AI Act by Venvera

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14-day Professional trial · no credit card required · up to 5 frameworks · unlimited users