A tailored course, built for your situation
Mastering ISO 42001 for C-Level Technology Executives
Build AI governance frameworks that expand your current leadership scope
$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.
AI governance efforts stall without clear ownership and structured frameworks
The situation this course is for
Teams struggle to align AI initiatives with compliance standards, resulting in delayed rollouts and fragmented accountability. Without a clear mandate, even technically sound proposals require repeated escalation.
Who this is for
C-level technology executive in a regulated telecommunications environment with oversight of digital transformation and compliance alignment
Who this is not for
Individuals seeking entry-level certification or general AI awareness without leadership responsibility
What you walk away with
- Own end-to-end AI governance decision-making under ISO 42001
- Produce audit-ready statements of applicability without cross-team dependency
- Lead internal reviews on AI risk classification and control mapping
- Direct vendor governance processes with documented evaluation criteria
- Preserve institutional knowledge through maintainable compliance artefacts
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001
Introduction to the ISO 42001 framework, its structure, intent, and relationship to other standards such as ISO 27001 and NIST AI RMF.
12 chapters in this module
- What is ISO 42001
- Core principles of AI governance
- Scope definition for AI systems
- Relationship to existing compliance frameworks
- Organizational context assessment
- Leadership commitment requirements
- Defining AI asset boundaries
- Stakeholder mapping
- Governance roles and responsibilities
- Internal audit prerequisites
- Risk-based thinking in AI
- Compliance linkage strategy
Module 2. AI Risk Assessment Frameworks
Techniques for identifying, classifying, and prioritizing AI-related risks aligned to ISO 42001 Annex A controls.
12 chapters in this module
- AI-specific risk taxonomies
- High-impact scenario identification
- Bias and fairness evaluation
- Transparency and explainability thresholds
- Data provenance tracking
- Model lifecycle risks
- Human oversight mechanisms
- Adversarial attack vectors
- Performance degradation monitoring
- Compliance drift detection
- Third-party model risks
- Incident response readiness
Module 3. Control Implementation Planning
Develop actionable plans for deploying ISO 42001 controls with minimal disruption to existing technology operations.
12 chapters in this module
- Control mapping methodology
- Resource allocation planning
- Stakeholder alignment timeline
- Policy drafting templates
- Integration with ITSM workflows
- Change management coordination
- Vendor governance integration
- Training rollout strategy
- Monitoring baseline setup
- KPI definition for AI oversight
- Evidence collection design
- Audit trail configuration
Module 4. Statement of Applicability Development
Step-by-step creation of a defensible SoA that documents control applicability decisions and justifications.
12 chapters in this module
- SoA structure and components
- Control applicability rationale
- Exclusion justification writing
- Cross-framework alignment
- Legal and regulatory mapping
- Internal audit sign-off paths
- Stakeholder review process
- Version control for SoA
- Maintenance workflow design
- Integration with risk registers
- Documentation automation options
- Executive summary drafting
Module 5. Internal Audit Preparation
Prepare for internal assessments with checklists, evidence collections, and role-specific readiness plans.
12 chapters in this module
- Audit scope definition
- Evidence collection templates
- Interview preparation guides
- Gap assessment techniques
- Control effectiveness testing
- Nonconformance tracking
- Corrective action planning
- Audit timeline management
- Cross-functional coordination
- Leadership briefing materials
- Post-audit follow-up planning
- Continuous improvement integration
Module 6. Vendor Governance and AI Procurement
Establish oversight processes for third-party AI solutions and managed services.
12 chapters in this module
- AI vendor evaluation criteria
- Contractual control requirements
- Due diligence checklists
- Transparency rights negotiation
- Model card requirements
- Performance monitoring SLAs
- Data handling assurances
- Update and patching policies
- Exit strategy planning
- Compliance verification process
- Penalty clause design
- Renewal governance track
Module 7. AI Incident Response Design
Build incident response workflows tailored to AI system failures, bias events, and compliance breaches.
12 chapters in this module
- AI incident classification
- Response team activation
- Bias event triage
- Model rollback procedures
- Stakeholder notification paths
- Regulatory reporting triggers
- Root cause analysis framework
- Corrective action tracking
- Post-mortem documentation
- Re-training validation
- Legal exposure mitigation
- Public statement coordination
Module 8. Human Oversight Mechanisms
Design meaningful human-in-the-loop processes that satisfy ISO 42001 requirements and practical operational needs.
12 chapters in this module
- Oversight role definition
- Escalation threshold setting
- Decision logging requirements
- Review frequency planning
- Training for human reviewers
- Alert fatigue mitigation
- False positive management
- Auditability of oversight
- Escalation documentation
- Performance metrics for oversight
- Integration with monitoring systems
- Process refinement cycles
Module 9. Documentation and Record Keeping
Implement sustainable documentation practices that support long-term compliance and leadership continuity.
12 chapters in this module
- Record classification schema
- Retention period guidelines
- Storage location policies
- Access control design
- Versioning strategy
- Automated evidence capture
- Searchable archive setup
- Legal hold procedures
- Decommissioning process
- Cross-border data rules
- Encryption requirements
- Audit trail preservation
Module 10. Continuous Monitoring and Improvement
Establish ongoing assessment cycles to maintain ISO 42001 compliance as AI systems evolve.
12 chapters in this module
- Key risk indicators setup
- Control effectiveness metrics
- Automated compliance checks
- Threshold alerting
- Periodic review scheduling
- Stakeholder feedback loops
- Lessons learned integration
- Benchmarking against peers
- Regulatory change tracking
- Framework update adoption
- Internal audit findings follow-up
- Performance dashboard design
Module 11. Leadership Communication Strategy
Develop clear, repeatable narratives to communicate AI governance progress and risks to executive peers.
12 chapters in this module
- Executive summary templates
- Risk presentation frameworks
- Progress reporting cadence
- Crisis communication planning
- Board-level briefing materials
- Cross-functional alignment
- Budget justification writing
- Resource request narratives
- Success metric definition
- Stakeholder concern addressing
- Transparency balancing acts
- Change adoption measurement
Module 12. Sustainability and Knowledge Transfer
Ensure AI governance practices endure beyond individual leadership tenure through structured knowledge transfer.
12 chapters in this module
- Succession planning for oversight
- Training material development
- Mentorship framework setup
- Process documentation standards
- Onboarding integration
- Cross-training design
- Institutional memory preservation
- Playbook maintenance cycle
- Leadership transition checklist
- External audit preparation
- Certification readiness
- Long-term compliance roadmap
How this maps to your situation
- Preparing for ISO 42001 implementation
- Leading internal AI governance initiatives
- Responding to regulatory scrutiny
- Expanding executive mandate in technology governance
Before vs. after
Before
AI governance decisions require coordination across teams and frequent escalation to senior leadership.
After
You own the full AI governance cycle , from policy to audit , with documented authority and reusable artefacts.
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 for executive pacing with just 15 minutes per session.
If nothing changes
Without a structured approach, AI governance remains reactive, fragmented, and dependent on individual bandwidth, limiting your ability to scale oversight within your current role.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers specific, actionable frameworks for expanding your current leadership remit around AI governance, grounded in ISO 42001 and tailored to C-level practitioners in regulated environments.
Frequently asked
Is this course suitable for someone who already has ISO 27001 experience?
Yes, the course builds on existing information security knowledge and extends it specifically to AI governance under ISO 42001.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive a certification upon completion?
No, this is a mastery-focused program designed to expand your operational authority, not a certification preparatory course.
$199 one-time. Approximately 3 hours per module, designed for executive pacing with just 15 minutes per session..
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