A tailored course, built for your situation
Complete command of the ISO 42001 implementation framework
For senior practitioners shaping AI governance at enterprise scale
$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 AI governance leader in a global innovation consultancy, responsible for operationalizing new compliance frameworks across complex client engagements
Who this is not for
Junior compliance staff, auditors focused on checklist adherence, or practitioners without decision authority in framework deployment
What you walk away with
- Deploy ISO 42001 controls with confidence in their completeness and alignment
- Produce audit-ready statements of applicability without rework
- Lead cross-functional teams through internal certification cycles
- Navigate scope exceptions with documented, defensible rationale
- Turn framework updates into proactive improvement cycles, not reactive scrambles
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and intent
Lay the foundation by mapping organizational boundaries to the AI-specific clauses of ISO 42001. Learn how to define what’s in and out of scope with precision.
12 chapters in this module
- What ISO 42001 governs
- AI system lifecycle stages
- Scope boundary decisions
- Stakeholder roles defined
- Framework intent clarity
- Exclusion justification rules
- Control applicability logic
- Risk context integration
- Organizational boundary mapping
- Implementation timeline shaping
- Governance layer design
- Compliance maturity self-assessment
Module 2. Initiating the AI governance framework
Launch the implementation with executive alignment and a clear roadmap. Turn leadership buy-in into structured workstreams.
12 chapters in this module
- Executive sponsorship case
- Steering committee formation
- Resource allocation plan
- Milestone definition approach
- Framework adoption drivers
- Change management integration
- Success metric selection
- Internal communication strategy
- Vendor coordination plan
- Team capability assessment
- Governance cadence setup
- Framework kickoff sequence
Module 3. Asset identification for AI systems
Map data, models, infrastructure, and human roles critical to AI operations. Build a complete inventory aligned with ISO 42001’s asset protection clauses.
12 chapters in this module
- AI model inventory creation
- Data lineage definition
- Infrastructure dependencies
- Human oversight roles
- Training data classification
- Model version tracking
- API exposure mapping
- Third-party component listing
- Access control matrix
- Asset ownership assignment
- Lifecycle phase tagging
- Retention schedule alignment
Module 4. Risk assessment methodology
Apply ISO 42001’s risk-based approach to AI-specific threats. Generate defensible, documented risk profiles for audit review.
12 chapters in this module
- Threat modelling for AI
- Bias risk identification
- Explainability gaps
- Data drift monitoring
- Adversarial attack vectors
- Privacy impact analysis
- Model integrity checks
- Decision fairness criteria
- Risk likelihood assessment
- Impact severity scoring
- Risk register maintenance
- Third-party risk integration
Module 5. Control selection and justification
Choose and document controls with precision. Match ISO 42001 Annex A controls to your organization’s AI environment.
12 chapters in this module
- Control applicability rules
- Exclusion documentation
- Compensating controls
- Control implementation level
- Automated vs manual control
- Control ownership assignment
- Control testing frequency
- Control integration with CI/CD
- Model monitoring rules
- Human-in-the-loop design
- Incident response linkage
- Audit trail retention
Module 6. Building the statement of applicability
Create a complete, audit-ready SoA. Justify every inclusion and exclusion with policy-backed reasoning.
12 chapters in this module
- SoA structure overview
- Control inclusion rationale
- Exclusion justification template
- Policy reference integration
- Internal review workflow
- Stakeholder sign-off sequence
- Version control for SoA
- SoA maintenance cadence
- Cross-reference controls
- Gap identification method
- Remediation tracking setup
- SoA presentation format
Module 7. AI system lifecycle controls
Embed ISO 42001 requirements across model training, validation, deployment, and monitoring phases.
12 chapters in this module
- Data quality validation
- Model validation process
- Bias testing protocol
- Explainability documentation
- Deployment approval gate
- Monitoring threshold setup
- Drift detection rules
- Retraining triggers
- Model rollback plan
- Version comparison method
- Audit trail completeness
- Incident logging standard
Module 8. Governance and oversight structure
Define roles, responsibilities, and review cycles for sustained compliance.
12 chapters in this module
- AI governance board role
- Oversight meeting rhythm
- Decision escalation path
- Compliance reporting cycle
- Independent review process
- Audit readiness check
- Lessons learned integration
- KPI tracking for AI
- Ethics advisory input
- Stakeholder feedback loop
- Regulatory update tracking
- Framework improvement plan
Module 9. Internal audit preparation
Get ready for certification audits with complete, defensible documentation.
12 chapters in this module
- Audit scope definition
- Evidence collection plan
- Document accessibility setup
- Interview preparation guide
- Gap remediation workflow
- Control testing checklist
- Audit trail review method
- Findings response protocol
- Corrective action process
- Audit report review
- Certification body Q&A
- Post-audit follow-up
Module 10. Continuous improvement cycle
Turn compliance into a learning system. Adapt controls based on performance and feedback.
12 chapters in this module
- Performance metric analysis
- Incident root cause review
- Stakeholder input integration
- Control effectiveness review
- Framework update adoption
- Lessons captured workflow
- Improvement backlog prioritization
- Change implementation tracking
- Version control for controls
- Update communication plan
- Training refresh cycle
- Maturity progression path
Module 11. Third-party AI risk management
Extend ISO 42001 rigor to vendors, partners, and outsourced AI services.
12 chapters in this module
- Vendor risk assessment
- Contractual compliance terms
- Due diligence process
- Ongoing monitoring setup
- Subprocessor oversight
- Third-party audit rights
- Security certification review
- Incident notification clause
- Exit strategy planning
- Data sovereignty check
- Compliance validation method
- Vendor offboarding process
Module 12. Scaling ISO 42001 across portfolios
Replicate and adapt the framework across multiple business units or client programs.
12 chapters in this module
- Framework templating method
- Centralized governance model
- Local adaptation rules
- Cross-program consistency
- Shared control library
- Central audit function
- Portfolio reporting standard
- Resource sharing mechanism
- Training material reuse
- Lessons scaling approach
- Global-local balance
- Framework evolution process
How this maps to your situation
- Leading ISO 42001 adoption in a consulting environment
- Directing compliance for AI systems at enterprise scale
- Managing cross-functional implementation teams
- Preparing for internal and external audits
Before vs. after
Before
Relying on fragmented guidance and ad-hoc implementation approaches for ISO 42001
After
Leading structured, repeatable, and audit-ready deployments of the full framework
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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, 10 hours of focused learning, designed to be consumed in short, high-leverage sessions.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers a targeted, step-by-step mastery of ISO 42001 with templates and examples tailored to enterprise AI governance deployment.
Frequently asked
Is this course suitable for someone in a leadership role overseeing AI governance?
Yes, it’s designed for senior practitioners who lead implementation, not just execute tasks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive practical tools?
Yes, every module includes downloadable templates and real-world examples to apply immediately.
$199 one-time. Approximately 8, 10 hours of focused learning, designed to be consumed in short, high-leverage sessions..
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