A tailored course, built for your situation
Deeper command of the ISO 42001 control framework
Master the structure, logic, and real-world application of ISO 42001 with 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.
Generic AI governance training leaves practitioners unprepared for real control implementation
The situation this course is for
Most AI governance content speaks in broad strokes, failing to equip leaders with the detailed control logic needed to guide audits, shape vendor responses, or justify investment in foundational frameworks. Without command of the actual standard, even senior roles default to reactive guidance rather than authoritative leadership.
Who this is for
Senior practitioner leading AI or technology governance strategy in a professional services or advisory context
Who this is not for
This is not for entry-level auditors, tool implementers, or teams focused solely on technical AI model tuning. It is not for those seeking certification prep only.
What you walk away with
- Own the full ISO 42001 control list with clause-level fluency
- Navigate audit requirements and documentation trails with precision
- Map ISO 42001 to client risk profiles and investment criteria
- Distinguish ISO 42001 from adjacent frameworks like NIST AI 110 and EU AI Act using specific control contrasts
- Guide internal teams with unambiguous direction on evidence collection and control testing
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 overview and strategic intent
Understand the purpose, scope, and governance objectives of ISO 42001, with emphasis on how it positions within global AI standards.
12 chapters in this module
- What ISO 42001 standardizes
- How it differs from NIST AI 110
- Core domains it governs
- Organizational scope definition
- Relationship to EU AI Act
- Compliance versus certification
- Role of top management
- Documented information required
- Certification bodies and scope
- Common misconceptions clarified
- Integration with ESG reporting
- Linkage to investment frameworks
Module 2. Clause 4 understanding context
Learn how to define internal and external issues impacting AI management systems.
12 chapters in this module
- Identifying external pressures
- Mapping regulatory landscapes
- Defining organizational values
- Stakeholder expectation mapping
- AI system boundaries defined
- Scope justification structure
- Exclusion rationale rules
- Documenting context decisions
- Version control for scope
- Stakeholder review cadence
- Integration with due diligence
- Tying context to investment criteria
Module 3. Clause 5 leadership and commitment
Master leadership obligations including policy setting, role definition, and accountability.
12 chapters in this module
- Top management responsibilities
- Policy content requirements
- Roles and authorities defined
- Communication of policy
- Leadership accountability model
- Integration with board updates
- Resource allocation signals
- Leadership review frequency
- Decision traceability structure
- Success metrics for leadership
- Vendor oversight ownership
- Escalation protocols
Module 4. Clause 6 planning and risk assessment
Implement systematic risk and opportunity assessment for AI systems.
12 chapters in this module
- Risk versus opportunity framing
- AI-specific risk categories
- Hazard identification method
- Impact severity levels
- Likelihood assessment model
- Risk treatment options
- Opportunity documentation
- Risk register structure
- Third-party risk inclusion
- Investment risk linkage
- Documentation depth standards
- Review frequency rules
Module 5. Clause 7 support and documentation
Ensure all support functions and documentation meet ISO 42001 requirements.
12 chapters in this module
- Competency assessment method
- Training record standards
- Awareness program content
- Documented information types
- Controlled document list
- Retention period rules
- Change management process
- Version control workflow
- Access control rules
- External document handling
- Knowledge transfer protocol
- Succession planning link
Module 6. Clause 8 operational planning
Apply controls to AI system lifecycle from design through deployment.
12 chapters in this module
- AI system lifecycle stages
- Development environment rules
- Data management controls
- Model validation steps
- Bias assessment protocol
- Human oversight points
- Change approval workflow
- Version deployment rules
- Incident response path
- Monitoring requirement design
- Performance metric selection
- Feedback loop integration
Module 7. Clause 9 performance evaluation
Establish methods to monitor, measure, and evaluate AI system performance.
12 chapters in this module
- Monitoring frequency standards
- Key performance indicators
- Internal audit scope
- Audit schedule development
- Audit team qualifications
- Nonconformity tracking
- Corrective action process
- Effectiveness verification
- Management review inputs
- Reporting cycle structure
- Client impact tracking
- Investment return linkage
Module 8. Clause 10 improvement and iteration
Implement continuous improvement based on audit and evaluation results.
12 chapters in this module
- Improvement trigger conditions
- Root cause analysis method
- Action plan development
- Responsibility assignment
- Timelines for resolution
- Verification of effectiveness
- Documentation standards
- Trend analysis application
- Preventive action scope
- Lessons learned capture
- Integration with risk register
- Scaling improvements across units
Module 9. Annex A control mapping
Apply the detailed control objectives and implementation notes from Annex A.
12 chapters in this module
- Annex A structure overview
- Control A 8 1 purpose
- Control A 8 2 implementation
- Control A 9 1 linkage
- Control A 9 2 documentation
- Control A 10 1 testing
- Control A 10 2 review
- Control A 11 1 deployment
- Control A 11 2 monitoring
- Control A 12 1 compliance
- Control A 12 2 reporting
- Control A 13 1 improvement
Module 10. Integration with other frameworks
Align ISO 42001 with NIST CSF, COBIT, and SOC 2 for unified governance.
12 chapters in this module
- Mapping to NIST CSF
- COBIT the current cycle alignment
- SOC 2 Type 2 overlap
- GDPR intersection points
- ISO 27001 synergy
- CIS Critical Controls
- NIST AI RMF integration
- EU AI Act comparison
- OECD AI Principles
- CIS-CAT mapping
- CSA CCM linkage
- Cross-framework playbook
Module 11. Audit preparation and evidence collection
Prepare for certification audits with complete, defensible documentation.
12 chapters in this module
- Audit readiness checklist
- Evidence collection plan
- Control testing examples
- Interview preparation guide
- Gap analysis method
- Corrective action drafting
- Readiness review steps
- Stage 1 audit prep
- Stage 2 audit prep
- Client communication plan
- Scope boundary defense
- Investment rationale support
Module 12. Sustaining compliance and scaling
Maintain certification and extend ISO 42001 across multiple business units.
12 chapters in this module
- Surveillance audit prep
- Re-certification cycle
- Change impact assessment
- Multi-site rollout plan
- Centralized governance model
- Local adaptation rules
- Training scalability
- Technology enablement
- KPIs for continuous compliance
- Auditor rotation strategy
- Lessons from first audit
- Governance maturity roadmap
How this maps to your situation
- Preparing for first ISO 42001 audit
- Guiding client implementation
- Building internal capability
- Extending AI governance across service lines
Before vs. after
Before
Reliant on general AI governance overviews and fragmented internal resources
After
Fully equipped to lead ISO 42001 implementation with authoritative command of controls, clauses, and audit paths
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 8 to 10 hours of focused engagement, designed for completion across two weeks with full implementation support.
If nothing changes
Without structured command of ISO 42001, practitioners risk reactive decision-making, misaligned investments, and reduced influence on high-impact AI governance initiatives.
How this compares to the alternatives
Unlike generic compliance webinars or certification prep courses, this program delivers clause-by-clause mastery of ISO 42001 with direct application to investment strategy and client advisory work.
Frequently asked
Is this course focused on certification exam prep?
No. This course is designed for practitioners who need to apply ISO 42001 in real-world advisory and investment contexts, not pass a test.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this to guide client work?
Yes. Every module includes client-ready templates, control mappings, and real-world examples applicable to advisory engagements.
$199 one-time. Approximately 8 to 10 hours of focused engagement, designed for completion across two weeks with full implementation support..
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