A tailored course, built for your situation
Mastering ISO 42001 for Product Owners in Regulated Technology Delivery
Build defensible AI governance systems with framework-backed precision
$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.
Struggling to justify AI governance choices under peer review
The situation this course is for
Product owners face increasing scrutiny on AI systems but lack structured backing for control decisions, leading to delays and second-guessing
Who this is for
Product Owner in regulated tech environment requiring auditable governance
Who this is not for
Teams operating outside formal compliance frameworks or without AI system ownership
What you walk away with
- Cite ISO 42001 control objectives with precision during peer review
- Map real-world AI product decisions to specific clauses in the standard
- Reference documented implementation examples from certified organizations
- Anticipate auditor questions using historical findings from early adopters
- Defend governance trade-offs using framework logic, not opinion
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope and Intent
Grasp the core purpose of ISO 42001 and how it applies to AI systems in regulated environments. Learn to distinguish between AI-specific risks and general governance.
12 chapters in this module
- What ISO 42001 solves that older frameworks don't
- Key differences from ISO 27001 and NIST CSF
- Defining AI system boundaries for audit
- When to apply ISO 42001 vs organizational policy
- Role of product ownership in governance
- Mapping deliverables to clause requirements
- How auditors interpret 'AI risk management'
- Case: AI chatbot in customer service
- Case: Predictive maintenance algorithm
- Case: Internal AI decision support tool
- Common misconceptions about AI governance
- Building your compliance narrative foundation
Module 2. Clause 4 Context of the Organization
Apply Clause 4 to define the internal and external factors affecting AI governance in your delivery context.
12 chapters in this module
- Identifying interested parties
- Determining AI system scope
- Documenting regulatory drivers
- Linking AI use cases to business objectives
- Internal stakeholder mapping
- External dependencies inventory
- Threat landscape for AI systems
- Establishing governance boundaries
- Avoiding over-scoping AI controls
- Example: Healthcare AI triage tool
- Example: Financial fraud detection
- Maintaining scope documentation
Module 3. Clause 5 Leadership and Commitment
Demonstrate leadership accountability in AI governance without holding formal executive authority.
12 chapters in this module
- Translating executive commitment to team action
- Documenting governance ownership
- Setting AI policy objectives
- Securing cross-functional buy-in
- Communicating AI principles
- Assigning control responsibilities
- Maintaining governance records
- Integrating with product roadmaps
- Measuring policy adherence
- Updating commitments quarterly
- Case: Revising data handling rules
- Case: Changing model refresh cycles
Module 4. Clause 6 Planning for AI Risks
Develop a risk register aligned with ISO 42001 requirements and trace decisions to control objectives.
12 chapters in this module
- Identifying AI-specific risks
- Assessing impact and likelihood
- Linking risks to business outcomes
- Prioritizing risk treatment options
- Documenting risk acceptance criteria
- Involving legal and compliance teams
- Creating risk treatment plans
- Tracking residual risk
- Updating risk register annually
- Case: Bias in hiring algorithms
- Case: Model drift in forecasting
- Avoiding checklist-only approaches
Module 5. Clause 7 Support and Resources
Secure necessary resources and ensure competence for AI governance across delivery teams.
12 chapters in this module
- Defining required competencies
- Training plan development
- Awareness campaign execution
- Managing third-party expertise
- Budgeting for tooling needs
- Tracking knowledge gaps
- Maintaining documentation systems
- Version control for policies
- Ensuring access to frameworks
- Auditing internal competence
- Case: Upskilling engineering teams
- Case: Vendor onboarding checklist
Module 6. Clause 8 Operational Controls
Implement controls for AI system development, deployment, and monitoring that satisfy ISO 42001 requirements.
12 chapters in this module
- AI system lifecycle mapping
- Data quality control points
- Model validation procedures
- Transparency documentation
- Human oversight mechanisms
- Change management integration
- Incident response planning
- Monitoring performance thresholds
- Audit logging standards
- Case: Model retraining workflow
- Case: Drift detection alerts
- Maintaining control evidence
Module 7. Clause 9 Performance Evaluation
Measure effectiveness of AI governance using metrics tied to ISO 42001 objectives.
12 chapters in this module
- Defining KPIs for AI systems
- Conducting internal audits
- Scheduling management reviews
- Collecting stakeholder feedback
- Evaluating control efficacy
- Benchmarking against peers
- Reporting governance health
- Identifying improvement areas
- Updating evaluation frequency
- Case: Audit finding response
- Case: Model performance review
- Avoiding vanity metrics
Module 8. Clause 10 Improvement Mechanisms
Establish feedback loops to refine AI governance in response to incidents and changes.
12 chapters in this module
- Root cause analysis process
- Corrective action tracking
- Updating policies and controls
- Lessons learned documentation
- Change impact assessment
- Versioning governance artifacts
- Communicating updates widely
- Archiving deprecated controls
- Maintaining improvement logs
- Case: Model failure post-mortem
- Case: Regulatory change adaptation
- Ensuring continuous relevance
Module 9. AI Governance Documentation Framework
Create consistent, defensible documentation that stands up to internal and external review.
12 chapters in this module
- Statement of Applicability structure
- Risk register formatting
- Policy version control
- Evidence collection strategy
- Audit trail management
- Document retention schedule
- Access control for records
- Cross-referencing with ISO clauses
- Automating documentation updates
- Case: Preparing for SOC 2 overlap
- Case: Responding to GDPR queries
- Maintaining living documentation
Module 10. Navigating Multi-Framework Environments
Align ISO 42001 with other compliance demands without duplicating effort.
12 chapters in this module
- Mapping ISO 42001 to NIST CSF
- Integrating with SOC 2 controls
- Harmonizing with GDPR provisions
- Aligning with ISO 27001 frameworks
- Addressing DORA requirements
- Meeting NIS2 expectations
- Leveraging COBIT for oversight
- Avoiding control duplication
- Creating unified assessment plans
- Case: Cloud-hosted AI service
- Case: Cross-border data flows
- Maintaining framework clarity
Module 11. Preparing for Certification Audits
Build readiness for ISO 42001 certification with structured evidence and stakeholder alignment.
12 chapters in this module
- Selecting certification body
- Gap analysis execution
- Evidence collection timeline
- Internal audit coordination
- Management review preparation
- Auditor communication protocol
- Handling non-conformities
- Corrective action submission
- Maintaining certification
- Case: First-time certification
- Case: Surveillance audit cycle
- Avoiding common audit pitfalls
Module 12. Sustaining AI Governance at Scale
Ensure governance models evolve with expanding AI use cases and organizational growth.
12 chapters in this module
- Scaling governance across teams
- Onboarding new products
- Maintaining consistency across regions
- Adapting to new technologies
- Updating training materials
- Managing turnover impact
- Reviewing governance annually
- Benchmarking maturity level
- Investing in tooling upgrades
- Case: Entering new market
- Case: Launching AI-as-a-Service
- Future-proofing governance strategy
How this maps to your situation
- Preparing for initial ISO 42001 implementation
- Responding to increased AI governance scrutiny
- Leading cross-functional compliance initiatives
- Supporting certification audit readiness
Before vs. after
Before
Reactive defense of AI governance choices, relying on informal justification
After
Confident articulation of decisions backed by ISO 42001 structure and documented precedent
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 completion over 6, 8 weeks with real-world application
If nothing changes
Continued reliance on ad-hoc governance increases exposure to audit findings, delays in product delivery, and erosion of stakeholder trust
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on ISO 42001 application in AI product delivery, with templates and examples tailored to regulated technology environments
Frequently asked
Do I need prior experience with ISO 42001?
No. The course builds from foundational concepts to advanced application, with examples relevant to product ownership.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this if we're not pursuing certification?
Yes. The framework provides defensible structure even without formal audit, improving team alignment and stakeholder confidence.
$199 one-time. Approximately 3 hours per module, designed for completion over 6, 8 weeks with real-world application.
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