A tailored course, built for your situation
Mastering ISO 42001 for Global Strategy Executives
Become the internal reference for AI governance across complex industrial portfolios
$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.
Not being the first name that comes up when AI governance questions arise in global industrial strategy discussions
The situation this course is for
Even senior strategy leaders find their influence capped when emerging technical frameworks like ISO 42001 shift the conversation. Without a recognized command of the standard, others, not you, become the default advisors on AI risk and governance, even in your domain.
Who this is for
Senior strategy executive at a global consulting or industrial firm leading portfolio, growth, or transformation work with heavy exposure to AI adoption and compliance risk
Who this is not for
Individuals not involved in shaping strategic direction or governance of technology-led transformations, or those focused solely on internal IT compliance without client or portfolio impact
What you walk away with
- Named as the go-to advisor on ISO 42001 compliance within your firm
- Lead AI governance rollouts with confidence using a proven implementation framework
- Anchor internal debates on AI risk with reference-backed, structured reasoning
- Differentiate client engagements with ISO 42001-aligned governance blueprints
- Turn emerging compliance requirements into strategic leverage in portfolio planning
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI Governance Shift
Establishes ISO 42001 as the emerging global standard for AI management systems, mapping its rise to strategic realignments in industrial sectors and positioning the course for senior strategy practitioners.
12 chapters in this module
- What ISO 42001 means for strategy leaders
- Historical context of AI governance standards
- ISO 42001 vs. other AI frameworks
- Why governance is now a strategic differentiator
- Scope of the management system
- Core principles of responsible AI
- Role of leadership in AI governance
- Linking AI governance to business outcomes
- Adoption patterns in industrial sectors
- Timeline of ISO 42001 implementation
- Stakeholders in the AI governance process
- Course navigation and structure
Module 2. Strategic Value of ISO 42001 in Portfolio Planning
Explores how ISO 42001 compliance strengthens product lifecycle decisions and shapes portfolio strategy, especially in global industrial markets facing regulatory scrutiny.
12 chapters in this module
- AI risks in industrial equipment portfolios
- Aligning AI compliance with growth goals
- Portfolio segmentation by risk tier
- Governance as a competitive advantage
- Client expectations on AI transparency
- Benchmarking against industry peers
- Integrating ISO 42001 into roadmaps
- Case: AI audit in heavy machinery
- Risk-informed investment choices
- Positioning compliance in RFPs
- Long-term governance planning
- Stakeholder alignment tactics
Module 3. Leadership Commitment and Accountability Frameworks
Details the executive responsibilities under ISO 42001, including policy ownership, resource allocation, and establishing clear accountability lines across global teams.
12 chapters in this module
- Top management's role in AI governance
- Defining leadership accountability
- Governance oversight structure
- AI policy development
- Resource planning for compliance
- Escalation paths for AI risks
- Performance metrics for AI systems
- Internal reporting requirements
- Cross-border leadership alignment
- Documenting decision authority
- Risk appetite statements
- Leadership training requirements
Module 4. Risk Assessment and Management in AI Systems
Provides a step-by-step method to identify, assess, and mitigate AI-related risks across global operations, aligned with ISO 42001 control expectations.
12 chapters in this module
- AI risk taxonomy
- Hazard identification techniques
- Likelihood and impact scoring
- Third-party AI risk
- Bias detection methods
- Safety-critical AI systems
- Risk treatment options
- Residual risk acceptance
- Risk register template
- Ongoing monitoring cycles
- Scenario planning for AI failures
- Audit readiness for risk controls
Module 5. Data Governance and Lifecycle Controls
Covers data quality, provenance, and lifecycle management requirements for AI systems, ensuring compliance with ISO 42001’s data integrity principles.
12 chapters in this module
- Data lineage tracking
- Training data quality standards
- Data retention policies
- Data bias mitigation
- Model input validation
- Data access controls
- Data privacy integration
- Synthetic data use cases
- Data labeling governance
- Data drift detection
- Data security in AI workflows
- Data documentation standards
Module 6. System Design and Development Assurance
Explains how to structure AI system development to meet ISO 42001 requirements, from concept through deployment, with focus on auditability and control.
12 chapters in this module
- Secure AI development lifecycle
- Model design documentation
- Version control for AI models
- Testing requirements for AI
- Model validation techniques
- Explainability standards
- Deployment approval process
- Change management for AI
- Model monitoring setup
- Fail-safe mechanisms
- Human oversight integration
- Post-deployment reviews
Module 7. Transparency and Stakeholder Communication
Guides how to ensure AI systems are explainable and how to communicate governance practices to clients, regulators, and internal teams.
12 chapters in this module
- Stakeholder mapping
- Explainability techniques
- Public-facing disclosures
- Internal communication plans
- Regulator engagement
- Client transparency reports
- AI use case documentation
- Consent mechanisms
- Feedback loop design
- Incident disclosure protocols
- Trust metrics
- Communication playbook
Module 8. Monitoring, Measurement, and Continuous Improvement
Details how to track AI system performance and compliance over time, ensuring ongoing adherence to ISO 42001 and adapting to new risks.
12 chapters in this module
- Performance KPIs for AI
- Compliance monitoring schedules
- Audit trail requirements
- Model drift detection
- User feedback analysis
- Compliance gap assessments
- Corrective action process
- Management review meetings
- Continuous improvement cycle
- Benchmarking progress
- Automated monitoring tools
- Reporting cadence
Module 9. Internal Audit and Compliance Verification
Equips practitioners to lead or support internal audits of AI systems, ensuring adherence to ISO 42001 and preparing for external assessments.
12 chapters in this module
- Audit planning process
- Audit scope definition
- Checklist development
- Document review techniques
- Interviewing system owners
- Control effectiveness testing
- Nonconformity identification
- Audit report writing
- Follow-up verification
- Mock audit exercises
- External auditor expectations
- Audit readiness checklist
Module 10. Certification Readiness and External Assessment
Walks through the steps to prepare for third-party ISO 42001 certification, including documentation, gap analysis, and engagement with auditors.
12 chapters in this module
- Certification body selection
- Gap analysis method
- Documentation package
- Stage 1 audit prep
- Stage 2 audit prep
- Management interviews
- Evidence collection
- Corrective action plans
- Certification maintenance
- Surveillance audits
- Recertification process
- Cost and timeline planning
Module 11. Cross-Border and Jurisdictional Compliance
Addresses the complexities of applying ISO 42001 in multinational contexts, including alignment with regional AI regulations and data laws.
12 chapters in this module
- Global AI regulation landscape
- Mapping ISO 42001 to EU AI Act
- Alignment with US executive order
- Asia-Pacific AI frameworks
- Data sovereignty implications
- Local legal counsel coordination
- Jurisdictional risk mapping
- Compliance harmonization
- Localization strategies
- Transfer mechanisms
- Enforcement trends
- Future regulatory signals
Module 12. Sustaining Governance and Knowledge Transfer
Ensures long-term success by embedding governance practices into organizational culture and enabling seamless leadership transitions.
12 chapters in this module
- Governance culture building
- Training program development
- Knowledge management systems
- Succession planning
- Lessons learned capture
- Playbook maintenance
- Vendor governance integration
- Client engagement models
- Internal advocacy
- Thought leadership development
- Community of practice
- Annual governance review
How this maps to your situation
- Leading AI governance in multinational industrial firms
- Advising clients on ISO 42001 compliance
- Integrating AI risk into portfolio decisions
- Preparing for external certification
Before vs. after
Before
Relied on fragmented or reactive approaches to AI governance, with limited authority in cross-functional debates and minimal differentiation in client engagements.
After
Recognized as the go-to advisor on ISO 42001, leading governance rollouts with confidence and shaping strategic AI decisions across global portfolios.
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 45 minutes per module, or 9 hours total for full course completion. Most practitioners complete in under three weeks with consistent pacing.
If nothing changes
Without structured command of ISO 42001, strategy leaders risk being sidelined in AI governance conversations, missing opportunities to shape compliance narratives and differentiate their client offerings in a rapidly standardizing field.
How this compares to the alternatives
Unlike generic AI ethics courses or vendor-specific training, this program is built specifically for senior strategy leaders and anchored in ISO 42001, the only international standard for AI management systems, offering actionable frameworks, not theoretical principles.
Frequently asked
Who is this course for?
Senior strategy and portfolio leaders in global firms guiding AI adoption and governance, especially in industrial or regulated sectors.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover technical implementation?
It covers governance expectations and strategic oversight, not code-level AI development. Designed for executives, not data scientists.
$199 one-time. Approximately 45 minutes per module, or 9 hours total for full course completion. Most practitioners complete in under three weeks with consistent pacing..
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