ISO 42001 AI Management System
ISO 42001 is the international standard for AI management systems. It provides a framework for organizations to establish, implement, and maintain governance over AI systems — covering risk management, governance, data quality, performance monitoring, and human oversight. ISO 42001 certification demonstrates to customers, partners, and regulators that your AI systems are managed responsibly.
What Is ISO 42001?
ISO 42001 is a management system standard that defines 22 controls across four domains:
| Domain | Controls | Focus |
|---|---|---|
| Governance | 6 controls | Roles, responsibilities, policies, leadership commitment |
| Risk Management | 6 controls | AI risk identification, assessment, mitigation |
| Data & Model Quality | 5 controls | Data governance, model validation, performance |
| Human & Organizational | 5 controls | Training, human oversight, stakeholder engagement |
Organizations implementing all controls receive ISO 42001 certification from accredited auditors.
Who Needs ISO 42001?
- B2B SaaS companies — Customers increasingly require ISO certification
- Enterprise vendors — Large organizations mandate ISO 42001 for vendors
- Regulated industries — Finance, healthcare, insurance use as foundation
- Public sector vendors — Government contracts often require certification
- Organizations pursuing digital maturity — Demonstrates AI governance commitment
Not required by law, but increasingly expected by customers and investors.
The 22 Controls
Compliance AI maps your AI systems to each control and tracks implementation:
Governance Controls (6)
| Control | Requirement | Evidence |
|---|---|---|
| 4.4.1: Policy | AI governance policy documented | Policy document, approval records |
| 4.4.2: Roles & Responsibility | Clear AI governance roles assigned | Organizational chart, job descriptions |
| 4.4.3: Competence | Staff have AI competence | Training records, certifications |
| 4.4.4: Communication | Stakeholders informed of AI governance | Meeting notes, emails, announcements |
| 4.4.5: Documentation | AI governance documented | Records, procedures, logs |
| 4.4.6: Management Review | Regular governance review | Audit reports, management meeting notes |
Risk Management Controls (6)
| Control | Requirement | Evidence |
|---|---|---|
| 4.5.1: Risk Process | AI risk identification & assessment process | Risk register, procedures |
| 4.5.2: Risk Assessment | Risks identified and analyzed | Risk assessments, impact analysis |
| 4.5.3: Risk Response | Mitigation plans for risks | Risk treatment plans, controls implemented |
| 4.5.4: Risk Monitoring | Ongoing risk monitoring | Monitoring reports, dashboards |
| 4.5.5: Risk Communication | Risks communicated to stakeholders | Reports, emails, meetings |
| 4.5.6: Risk Documentation | Risk processes documented | Risk policies, procedures, records |
Data & Model Quality Controls (5)
| Control | Requirement | Evidence |
|---|---|---|
| 4.6.1: Data Governance | Data quality, bias, sourcing documented | Data catalog, quality checks, bias analysis |
| 4.6.2: Performance Monitoring | Model performance monitored post-deployment | Performance dashboards, monitoring logs |
| 4.6.3: Model Validation | Models tested and validated | Validation reports, test results |
| 4.6.4: Change Management | Model changes documented and controlled | Change logs, approval records |
| 4.6.5: Data Retention | Data retention and deletion procedures | Retention policies, deletion logs |
Human & Organizational Controls (5)
| Control | Requirement | Evidence |
|---|---|---|
| 4.7.1: Human Oversight | Humans in the loop for critical decisions | Procedures, logs showing human review |
| 4.7.2: Awareness & Training | AI awareness and training programs | Training schedules, attendance, test results |
| 4.7.3: Stakeholder Engagement | Affected parties consulted | Meeting notes, feedback records |
| 4.7.4: Transparency | System transparency to affected individuals | User-facing documentation, explanations |
| 4.7.5: Accessibility | Accessibility for people with disabilities | Accessibility test results, accommodations |
Compliance Roadmap: Getting ISO Certified
Phase 1: Assessment (1-2 weeks)
- Go to Compliance > Frameworks > ISO 42001 > Assessment
- Compliance AI scans your systems and infrastructure
- Generates gap report showing which controls are implemented, partial, or missing
- Prioritizes high-impact controls to implement first
Output: Gap assessment, prioritized remediation roadmap
Phase 2: Implementation (2-4 months)
Implement controls in priority order:
-
Governance (do first — provides foundation for all other controls)
- Document AI governance policy
- Assign roles and responsibilities
- Set up training programs
- Plan management reviews
-
Risk Management (in parallel)
- Create risk register
- Assess AI systems against risk criteria
- Design mitigation strategies
- Set up monitoring
-
Data & Model Quality (in parallel)
- Establish data governance
- Document model validation procedures
- Set up performance monitoring
- Create change management process
-
Human & Organizational (throughout)
- Create training programs
- Design human oversight procedures
- Engage stakeholders
- Document transparency measures
TruthVouch Support:
- Audit templates for each control
- Evidence checklists showing what auditors expect
- Automated evidence collection via infrastructure connectors
- Remediation task creation and tracking
Phase 3: Documentation & Review (2-4 weeks)
Before audit, compile:
- Control documentation — Policies, procedures, records
- Evidence package — Audit trail, logs, monitoring reports
- Gap closure — Evidence that all gaps from Phase 1 are closed
- Management review — Documented meeting where management approves readiness
TruthVouch Support:
- Generates audit-ready documentation package
- Evidence mapping (shows which records support each control)
- Gap closure checklist
- Management review template
Phase 4: External Audit (1-2 weeks)
- Select accredited auditor (UKAS, ISMS, IAF-certified)
- Auditor reviews documentation
- Auditor interviews staff
- Auditor tests system access logs, monitoring
- Auditor issues certificate or nonconformities
TruthVouch Support:
- Exports all evidence in formats auditors expect (PDF, OSCAL, etc.)
- Provides evidence navigation to support auditor
Phase 5: Surveillance (ongoing)
After certification, maintain compliance:
- Annual surveillance audit (less intensive)
- Three-year recertification audit (full scope)
- Ongoing monitoring of controls
TruthVouch Support:
- Continuous evidence collection
- Control status dashboard
- Alerts when evidence expires or control fails
- Pre-audit readiness reports
Typical Implementation Timeline
| Phase | Duration | Effort | Cost |
|---|---|---|---|
| Assessment | 1-2 weeks | 20 hours | Included (TruthVouch) |
| Implementation | 2-4 months | 200-400 hours | Internal + $10-50K external consulting |
| Documentation | 2-4 weeks | 40-60 hours | Internal |
| Audit | 1-2 weeks | 40 hours (interviews) | $5-15K (auditor fee) |
| Total | 3-6 months | 300-500 hours | $15-65K |
Small organizations typically need 3-4 months. Large organizations with complex systems may need 6+ months.
Next Steps
- Start your ISO assessment: Go to Compliance > Frameworks > ISO 42001 > Assessment
- Create your first control: See Policy & Control Management
- Set up monitoring: Evidence Connectors
- Compare with other frameworks: Frameworks Overview