ISO 42001 certification

ISO 42001, AI management system, made practical

The world's first AI management system standard is here. ISO 42001 turns responsible AI into an operating model, not a slide deck. VerifyWise translates its requirements into a plan with owners, timelines, and evidence your auditor can trust.

What is ISO 42001?

ISO 42001 is an international standard that sets requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS). It is built for organizations that provide, develop, or use AI systems, making responsible AI measurable and auditable.

Why this matters now: It gives you a structured way to govern AI, prove accountability, and prepare for regulation, while keeping innovation moving.

Risk-based

Apply controls based on your AI risk profile

Plan-Do-Check-Act

Continuous improvement cycle

Who needs ISO 42001?

AI providers & developers

Build or deploy AI systems

AI users

Rely on third-party AI in products or workflows

Regulated industries

Need to prove AI governance to customers & regulators

ISO-certified organizations

Integrates with ISO 27001 & ISO 9001

90 days to audit-ready

Your implementation roadmap with clear phases and deliverables

Days 0-15

Get organized

  • Confirm scope, roles, and objectives
  • Import systems into model inventory
  • Stand up policy set and training plan
Days 16-45

Close the big gaps

  • Run risk and impact assessments on priority systems
  • Implement high-value controls
  • Turn on logging and evidence capture
Days 46-75

Operationalize

  • Complete internal audit and management review
  • Finish Statement of Applicability
  • Generate Stage 1 evidence pack
Days 76-90

Prove it works

  • Dry-run interviews with owners
  • Collect samples for Stage 2
  • Lock improvement plan and schedule audit

38 Annex A controls, simplified

Apply controls based on risk - you justify choices in your Statement of Applicability

Strategy & policy

  • AI policy
  • Objectives
  • Roles
  • Competence
  • Awareness

Lifecycle governance

  • Requirements management
  • Change control
  • V&V
  • Deployment gates

Data & models

  • Data quality
  • Dataset suitability
  • Model versioning
  • Evaluation

Risk & impact

  • Risk methods
  • Thresholds
  • Treatment
  • Acceptance

Transparency & records

  • Model cards
  • User information
  • Logging
  • Traceability

Human oversight

  • Oversight design
  • Fallback
  • Rollback
  • Incident response

Security & robustness

  • Threat modeling
  • Adversarial robustness
  • Vulnerability handling

Third-party management

  • Supplier evaluation
  • Contracts
  • Intake
  • Monitoring

Improvement

  • Internal audits
  • Management reviews
  • Corrective actions
  • KPIs

What auditors will look for

Certification uses a two-stage audit by an accredited body, then annual surveillance

Stage 1

Readiness & design

Documentation review

  • AIMS documentation
  • Scope & policies
  • Risk & impact methods
  • Control design
  • Internal audit
  • Management review
Stage 2

Effectiveness

Operational evidence

  • Control implementation
  • Process interviews
  • Sample testing
  • Lifecycle records
  • Performance data
  • Incident handling
Surveillance

Maintenance

Annual reviews

  • Control updates
  • New risks addressed
  • Corrective actions
  • Continuous improvement
  • Scope changes
  • Recertification prep

Evidence your auditor will expect

VerifyWise generates and organizes the documentation you need

Scope & inventory

In-scope systems, roles, and boundaries

Generated from: Model inventory and scope wizard

Policies & procedures

Approved AI policy, lifecycle procedures

Generated from: Policy generator with version history

Risk & impact records

Assessments with treatments and acceptance

Generated from: Risk register and assessment workflows

Lifecycle records

Testing, evaluation, deployment gates

Generated from: Release management and CI/CD integration

Monitoring & incidents

Logs, alerts, drift findings

Generated from: Monitoring dashboard and incident tracker

Audit & reviews

Plans, reports, actions, follow-ups

Generated from: Audit module and management review tracker

Frequently asked questions

Common questions about ISO 42001 certification

No, it is voluntary. However, certification signals trust and maturity to customers and regulators, and can be a competitive advantage in the market.

It depends on scope and readiness. Teams familiar with ISO programs can move faster because the process mirrors ISO 27001 and 9001, with Stage 1, Stage 2, and annual surveillance. Typically, organizations can achieve certification within 3-6 months with proper preparation.

No, you apply controls based on risk and context, then justify choices in your Statement of Applicability. The risk-based approach allows you to focus on controls relevant to your AI systems and use cases.

Yes. ISO 42001 shares the harmonized structure with other management system standards, so integration reduces duplicate work and creates synergies with your existing programs.

You still need governance over selection, usage, transparency, and monitoring. ISO 42001 expects you to manage suppliers and maintain evidence of ongoing control, even when using external AI services.

Certificates are valid for 3 years with annual surveillance audits. You'll need to maintain your AIMS, conduct internal audits, management reviews, and demonstrate continuous improvement. The surveillance audits ensure ongoing compliance.

Select an accredited certification body with experience in AI and technology sectors. Look for auditors who understand your industry context and can provide valuable insights beyond compliance checking. ANAB, UKAS, and DAkkS are key accreditation bodies to look for.

While different in purpose, ISO 42001 provides a strong foundation for EU AI Act compliance. The management system approach helps operationalize many AI Act requirements like risk management, documentation, and monitoring. However, specific AI Act obligations still need separate attention.

Yes, the standard is scalable. Smaller organizations can implement proportionate controls and documentation. The key is focusing on what's material to your AI risks rather than creating excessive bureaucracy. Many controls can be streamlined for smaller teams.

Ready to achieve ISO 42001 certification?

Turn your AI governance into a certified management system with our comprehensive platform and expert guidance.

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