A tailored course, built for your situation
Go to person for ISO 42001 at your firm
Become the internal reference for AI governance with verifiable, deployable expertise
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior service delivery leader in a global consulting firm who influences compliance posture but isn't formally in a governance role
Who this is not for
Entry-level auditors, dedicated risk analysts, or practitioners focused solely on legacy frameworks like ISO 27001 without AI governance exposure
What you walk away with
- Named first when internal teams need ISO 42001 interpretation
- Lead ISO 42001 scoping sessions without escalation
- Produce audit-ready documentation in under 10 business days
- Field regulator questions on AI governance with confidence
- Mentor teams on ISO 42001 control implementation without oversight
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and applicability
Learn how ISO 42001 defines AI systems and where it applies within service delivery models. Map current offerings to the standard’s domains.
12 chapters in this module
- What ISO 42001 covers
- AI system boundaries defined
- Exclusions with justification
- Mapping service lines to clauses
- Jurisdictional overlap considerations
- Integration with client contracts
- Internal vs external AI deployments
- Documentation expectations
- Assessment entry criteria
- Role clarity across teams
- Vendor inclusion rules
- First audit readiness checklist
Module 2. Establishing AI governance structure
Design governance roles specific to AI systems. Define accountability for development, deployment, and monitoring.
12 chapters in this module
- Governance body composition
- Clear RACI for AI teams
- Escalation paths defined
- Authority levels documented
- Cross-functional alignment
- Reporting cadence setup
- Decision logs maintained
- Stakeholder inclusion
- Review cycle planning
- Charter approval process
- Policy ownership assignment
- Compliance tracking method
Module 3. Risk assessment for AI systems
Conduct rigorous risk assessments specific to AI behaviors. Identify potential impacts on individuals and organizations.
12 chapters in this module
- Harm categorization framework
- Likelihood scoring model
- Stakeholder impact analysis
- Bias identification methods
- Transparency requirements
- Human oversight thresholds
- Fallback mechanisms design
- Risk register structure
- Third-party risk inclusion
- Dynamic reevaluation triggers
- Documentation standards
- Audit trail preservation
Module 4. Data quality management
Ensure training and operational data meet ISO 42001 requirements. Implement controls for accuracy, relevance, and representativeness.
12 chapters in this module
- Data provenance tracking
- Bias in dataset detection
- Representativeness checks
- Data relevance validation
- Accuracy verification process
- Version control for datasets
- Documentation of sources
- Data retention rules
- Data access governance
- Anonymization standards
- Quality assurance schedule
- Feedback loop integration
Module 5. Documentation for transparency
Create clear technical documentation for AI systems. Meet ISO 42001’s requirements for internal and external review.
12 chapters in this module
- Technical specification format
- System purpose clearly stated
- Design choices documented
- Input-output logic outlined
- Performance metrics defined
- Limitations disclosed
- Update process explained
- Version history tracking
- Accessibility for auditors
- Update notification process
- Retention period defined
- Review cycle schedule
Module 6. Human oversight of AI systems
Implement human oversight mechanisms that satisfy ISO 42001. Ensure meaningful control over AI operations.
12 chapters in this module
- Oversight role definition
- Intervention points mapped
- Monitoring frequency set
- Escalation thresholds defined
- Training for human reviewers
- Decision logging setup
- Fallback mode activation
- Audit readiness for logs
- Performance review schedule
- Bias detection during use
- User feedback mechanisms
- Incident response alignment
Module 7. Accuracy and reliability controls
Implement testing and monitoring processes to maintain AI system performance over time.
12 chapters in this module
- Performance baseline setting
- Drift detection methods
- Retraining triggers defined
- Validation testing schedule
- Error rate thresholds
- System degradation alerts
- Output consistency checks
- Edge case handling
- Stress testing process
- Benchmarking against peers
- Failure mode analysis
- Recovery procedure documentation
Module 8. Security in AI systems
Apply security controls specific to AI components. Protect models, data, and deployment infrastructure.
12 chapters in this module
- Model integrity verification
- Data pipeline protection
- Access control enforcement
- Adversarial attack resistance
- Model extraction prevention
- Secure update mechanisms
- Threat modeling approach
- Vulnerability scanning
- Penetration testing scope
- Incident response readiness
- Zero-day mitigation plan
- Audit trail completeness
Module 9. Robustness and safety measures
Ensure AI systems operate reliably under expected conditions. Plan for edge cases and failures.
12 chapters in this module
- Failure mode identification
- Graceful degradation design
- Safety constraint implementation
- Operational limits defined
- Edge case testing
- Scenario planning process
- User safety prioritization
- Recovery time objectives
- Impact containment strategy
- Monitoring for anomalies
- Alerting thresholds set
- Response playbooks created
Module 10. Maintaining ISO 42001 compliance
Sustain compliance through change management, monitoring, and periodic review.
12 chapters in this module
- Change control process
- Version tracking system
- Impact assessment before updates
- Rollback procedures defined
- Ongoing monitoring setup
- Review cycle frequency
- Compliance dashboard design
- Internal audit schedule
- External audit preparation
- Corrective action tracking
- Continuous improvement plan
- Stakeholder communication
Module 11. Preparing for certification
Navigate the ISO 42001 certification process. Prepare documentation and coordinate with auditors.
12 chapters in this module
- Certification body selection
- Pre-audit gap assessment
- Evidence collection strategy
- Document readiness checklist
- Internal dry run process
- Auditor briefing preparation
- Response protocol development
- Nonconformity handling
- Certification timeline
- Post-certification activities
- Surveillance audit prep
- Public claims alignment
Module 12. Scaling ISO 42001 across offerings
Extend ISO 42001 practices across service lines. Create reusable templates and governance patterns.
12 chapters in this module
- Template creation process
- Pattern library development
- Training material development
- Cross-team rollout plan
- Center of excellence setup
- Mentorship program design
- Knowledge transfer sessions
- Lessons learned capture
- Benchmarking progress
- Client-facing messaging
- Differentiation in proposals
- Value demonstration framework
How this maps to your situation
- After scoping an AI project
- Before auditor engagement
- When designing oversight protocols
- During certification preparation
Before vs. after
Before
Relied on general compliance knowledge, pulled into ISO 42001 discussions reactively
After
Proactively lead ISO 42001 initiatives, recognized as the internal expert across delivery teams
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per week over 4 weeks to complete all modules and apply the playbook
If nothing changes
Without focused expertise, the opportunity to lead on AI governance shifts to others, diluting your influence on high-visibility service delivery transformations
How this compares to the alternatives
Generic compliance courses cover broad frameworks without ISO 42001 specificity. This course delivers actionable, role-specific mastery for service delivery leaders shaping AI governance outcomes.
Frequently asked
Who is this course designed for?
Service delivery leaders in consulting or systems integration firms who influence governance outcomes but aren't compliance specialists.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead actual audits?
Yes , you'll produce audit-ready documentation and lead scoping discussions independently.
$199 one-time. Approximately 3 hours per week over 4 weeks to complete all modules and apply the playbook.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours