A tailored course, built for your situation
Premium engagement picks with ISO 42001 implementation playbooks
Turn AI governance into higher-margin advisory work using structured, repeatable artefacts aligned to ISO 42001
$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 practitioner in governance, risk, or innovation driving AI accountability frameworks in a global services firm
Who this is not for
Individuals seeking certification prep or entry-level compliance training
What you walk away with
- Design ISO 42001-compliant AI governance structures tailored to client risk profiles
- Lead vendor assessments using a documented, repeatable methodology
- Produce statement of applicability drafts in under two days
- Command client-facing control mapping sessions with confidence
- Package deliverables into reusable assets for future bids
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and AI governance
Understand the foundation of ISO 42001, its structure, and relevance to AI systems in regulated environments.
12 chapters in this module
- What ISO 42001 covers
- Key clauses and intent
- AI governance context
- Mapping to NIST AI RMF
- Organizational scope definition
- Stakeholder identification
- Risk appetite alignment
- Governance vs management
- Roles and responsibilities
- Establishing leadership commitment
- Setting policy objectives
- Documenting governance scope
Module 2. Establishing an AI governance policy
Develop a comprehensive AI governance policy aligned with ISO 42001 controls and organizational values.
12 chapters in this module
- Policy statement drafting
- Ethical AI principles
- Compliance requirements
- Data governance integration
- Human oversight definition
- Performance monitoring
- Model lifecycle oversight
- Incident reporting
- Transparency commitments
- Third-party oversight
- Policy approval workflows
- Version control
Module 3. AI risk assessment methodology
Apply a structured risk assessment approach to AI systems using ISO 42001 Annex A controls.
12 chapters in this module
- Risk identification
- Threat modeling AI systems
- Impact classification
- Likelihood assessment
- Risk tolerance levels
- Control selection criteria
- AI-specific risk scenarios
- Data bias evaluation
- Autonomy levels
- Safety-critical systems
- Regulatory exposure
- Risk treatment planning
Module 4. Vendor and third-party management
Evaluate and manage third-party AI vendors using ISO 42001-aligned due diligence.
12 chapters in this module
- Vendor selection criteria
- Due diligence checklist
- Contractual obligations
- Data protection requirements
- Transparency expectations
- Audit rights
- Model documentation
- Bias mitigation
- Incident response
- Subprocessor oversight
- Compliance verification
- Exit strategies
Module 5. AI system documentation
Create comprehensive technical documentation for AI systems per ISO 42001 requirements.
12 chapters in this module
- System purpose
- Intended use cases
- Input data sources
- Model type and structure
- Training methodology
- Validation approach
- Performance metrics
- Limitations
- Human oversight
- Monitoring plan
- Version tracking
- Update protocols
Module 6. Human oversight and control
Design effective human oversight mechanisms for AI systems to ensure accountability.
12 chapters in this module
- Oversight levels
- Intervention points
- Escalation pathways
- Training for users
- Decision review
- Override capability
- Responsibility clarity
- Audit trail
- Feedback loops
- Incident logging
- Bias detection
- Corrective action
Module 7. Performance monitoring and evaluation
Implement ongoing performance monitoring for AI systems to ensure reliability and fairness.
12 chapters in this module
- Key performance indicators
- Accuracy tracking
- Bias monitoring
- Drift detection
- Model recalibration
- User feedback
- Incident analysis
- Reporting frequency
- Threshold alerts
- Remediation protocols
- Stakeholder reporting
- Audit preparation
Module 8. Transparency and explainability
Ensure AI systems are transparent and explainable to stakeholders.
12 chapters in this module
- Stakeholder communication
- Model documentation
- Explainability techniques
- User understanding
- Disclosure levels
- Privacy considerations
- Openness vs security
- Target audience
- Communication formats
- Language clarity
- Accessibility
- Feedback mechanisms
Module 9. Robustness and cybersecurity
Apply cybersecurity principles to AI systems to ensure robustness and resilience.
12 chapters in this module
- Threat modeling
- Adversarial attacks
- Data poisoning
- Model theft
- Secure deployment
- Access controls
- Monitoring
- Incident response
- Resilience testing
- Failsafe mechanisms
- Recovery plans
- Penetration testing
Module 10. Privacy and data governance
Integrate privacy principles and data governance into AI system design.
12 chapters in this module
- Data minimization
- Consent management
- Anonymization
- Data quality
- Retention policies
- Cross-border transfer
- Subject rights
- Data lineage
- Audit trail
- Compliance checks
- DPO involvement
- Breach response
Module 11. Incident response and recovery
Develop incident response plans for AI system failures or misuse.
12 chapters in this module
- Incident types
- Detection mechanisms
- Escalation procedures
- Response team
- Communication plan
- Remediation steps
- Bias incident
- Model failure
- Misuse detection
- Legal exposure
- Recovery validation
- Post-mortem
Module 12. Continuous improvement
Establish processes for ongoing review and enhancement of AI governance.
12 chapters in this module
- Performance review
- Stakeholder feedback
- Audit results
- Technology changes
- Regulatory updates
- Policy revision
- Training updates
- Control effectiveness
- Lessons learned
- Benchmarking
- Maturity assessment
- Roadmap planning
How this maps to your situation
- Designing client proposals
- Leading vendor assessments
- Responding to audit requests
- Developing internal governance frameworks
Before vs. after
Before
Reactive, case-by-case approaches to AI governance that rely on ad hoc coordination and undefined standards
After
Structured, repeatable ISO 42001-aligned playbooks that position you for premium engagements and direct client decision influence
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- 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 module, designed to be completed at your pace over 6-8 weeks.
How this compares to the alternatives
Unlike generic compliance overviews or certification prep courses, this program delivers actionable, client-ready artefacts focused specifically on ISO 42001 implementation in AI contexts , not theory, but deployable frameworks used by leading practitioners.
Frequently asked
How is this different from general AI ethics training?
This course focuses on ISO 42001 implementation: tangible control mappings, vendor review checklists, and statement of applicability drafts , not abstract principles.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me win more strategic client work?
Yes , by equipping you with proven playbooks for ISO 42001, you’ll be positioned to lead high-budget, high-impact engagements.
$199 one-time. Approximately 3 hours per module, designed to be completed at your pace over 6-8 weeks..
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