A tailored course, built for your situation
Influence in vendor selection and strategic direction using ISO 42001
Shape critical decisions with documented AI governance rigor
$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 operations leader in global services firm navigating AI governance standardization
Who this is not for
Individuals seeking certification prep or entry-level compliance training
What you walk away with
- Lead vendor evaluation tracks with authority grounded in ISO 42001 compliance readiness
- Present technical recommendations with audit-grade documentation aligned to AI governance controls
- Gain direct input into AI roadmap decisions through structured governance artefacts
- Build repeatable assessment templates for AI initiatives across client engagements
- Earn recognition as the internal reference for AI governance in strategic planning
The 12 modules (with all 144 chapters)
Module 1. Establishing AI governance foundations with ISO 42001
Define the scope and governance structure for AI systems using ISO 42001 controls, aligning with organizational risk appetite.
12 chapters in this module
- What is ISO 42001
- AI governance vs traditional compliance
- Scope definition for AI systems
- Governance roles and responsibilities
- Risk assessment methodology
- Control objectives mapping
- Documenting governance policies
- Integrating with existing frameworks
- Stakeholder communication plan
- Version control practices
- Audit readiness checklist
- Common implementation pitfalls
Module 2. Designing AI system inventories
Create a classified inventory of AI systems using ISO 42001 Annex A controls, enabling proactive governance.
12 chapters in this module
- AI system classification criteria
- High-risk AI identification
- Data lineage documentation
- Model purpose and limitations
- Third-party AI integration
- Version tracking system
- Security classification
- Human oversight requirements
- Performance thresholds
- Transparency documentation
- Change management process
- Decommissioning protocol
Module 3. Implementing governance controls
Deploy preventive and detective controls for AI systems across development and deployment phases.
12 chapters in this module
- Control design for fairness
- Bias detection methods
- Explainability requirements
- Data quality controls
- Model validation process
- Monitoring thresholds
- Incident response plan
- Audit logging standards
- Access control design
- Output verification checks
- Feedback loop integration
- Control review frequency
Module 4. Building AI governance documentation
Develop comprehensive documentation packages for AI systems that satisfy ISO 42001 audit requirements.
12 chapters in this module
- System description templates
- Risk assessment reports
- Control implementation records
- Training data documentation
- Model development process
- Validation results recording
- Operational monitoring logs
- Complaint handling procedures
- Transparency documentation
- Human oversight records
- Change logs
- Compliance evidence pack
Module 5. Conducting AI system assessments
Perform internal assessments of AI systems against ISO 42001 requirements using standardized evaluation methods.
12 chapters in this module
- Assessment planning
- Evidence collection
- Control testing methodology
- Gap identification
- Risk rating system
- Remediation tracking
- Assessment reporting
- Follow-up process
- Third-party assessment coordination
- Internal audit preparation
- Stakeholder feedback integration
- Continuous improvement loop
Module 6. Managing AI vendor relationships
Apply ISO 42001 controls to third-party AI providers through contract terms and ongoing monitoring.
12 chapters in this module
- Vendor selection criteria
- Contractual obligations
- Due diligence process
- Third-party risk assessment
- Ongoing monitoring
- Performance evaluation
- Incident response coordination
- Audit rights negotiation
- Compliance verification
- Exit strategy planning
- Relationship management
- Vendor improvement tracking
Module 7. Implementing human oversight
Design effective human oversight processes for high-risk AI systems in accordance with ISO 42001 requirements.
12 chapters in this module
- Oversight role definition
- Training requirements
- Intervention procedures
- Escalation protocols
- Decision documentation
- Performance monitoring
- Feedback mechanisms
- Oversight effectiveness review
- Automation boundary setting
- Error rate thresholds
- Oversight workload management
- Continuous improvement
Module 8. Establishing transparency practices
Implement transparency requirements for AI systems to build trust and meet ISO 42001 standards.
12 chapters in this module
- User communication plan
- System purpose documentation
- Limitations disclosure
- Performance information
- Data usage transparency
- Change notification process
- Contact point establishment
- Accessibility standards
- Language requirements
- Documentation format
- Public disclosure policy
- Transparency review cycle
Module 9. Building AI governance culture
Foster organizational awareness and accountability for AI governance principles across departments.
12 chapters in this module
- Leadership commitment
- Training program design
- Awareness campaigns
- Role-specific guidelines
- Incentive alignment
- Reporting channels
- Lessons learned sharing
- Culture assessment
- Improvement initiatives
- Cross-functional collaboration
- External stakeholder engagement
- Continuous education
Module 10. Preparing for certification
Navigate the ISO 42001 certification process with confidence through thorough preparation and documentation.
12 chapters in this module
- Certification body selection
- Pre-audit readiness
- Documentation review
- Internal audit process
- Gap remediation
- Stakeholder alignment
- Audit day preparation
- Non-conformance response
- Certification maintenance
- Surveillance audit prep
- Continuous improvement planning
- Recertification strategy
Module 11. Implementing continuous monitoring
Establish ongoing monitoring processes to maintain ISO 42001 compliance and adapt to changing AI environments.
12 chapters in this module
- Monitoring frequency
- Performance indicators
- Risk change detection
- Control effectiveness review
- Incident tracking
- Audit log analysis
- User feedback collection
- Regulatory change monitoring
- Benchmarking against peers
- Process improvement identification
- Reporting dashboard design
- Continuous improvement cycle
Module 12. Scaling AI governance across organizations
Extend ISO 42001 governance practices across multiple business units and geographies.
12 chapters in this module
- Governance framework replication
- Centralized oversight model
- Local adaptation process
- Knowledge sharing system
- Consistency monitoring
- Resource allocation
- Change management strategy
- Executive reporting
- Lessons learned integration
- Global coordination
- Cultural considerations
- Future readiness planning
How this maps to your situation
- When evaluating AI vendors for client projects
- During internal AI governance assessments
- Preparing for ISO 42001 certification audit
- Designing AI governance framework for new business unit
Before vs. after
Before
Reactive participation in AI governance discussions with limited documentation
After
Proactive leadership in AI governance decisions with comprehensive ISO 42001-aligned 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 week for 8 weeks
How this compares to the alternatives
Unlike generic AI ethics courses, this program delivers actionable, standards-based governance tools specifically designed for operational leaders shaping technical direction.
Frequently asked
Is this course focused on technical implementation or strategic governance?
The course focuses on strategic governance for operational leaders, not technical implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this prepare me for ISO 42001 certification?
The course provides comprehensive preparation for certification through detailed documentation guidance and implementation examples.
$199 one-time. Approximately 3 hours per week for 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