A tailored course, built for your situation
Premium engagements with ISO 42001 implementation authority
Lead higher-margin projects with command of the latest AI governance framework
$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 practitioner in AI governance or technology leadership roles leading complex implementations
Who this is not for
Entry-level compliance staff or those focused solely on audit checklists without strategic scope
What you walk away with
- Lead ISO 42001 implementations end to end with confidence
- Position yourself for engagements above standard compliance delivery
- Articulate AI governance in business-value terms that resonate with executives
- Build repeatable, source-backed implementation patterns across clients
- Gain influence in shaping AI responsibility frameworks before they standardize
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in AI governance
Establish command of the framework’s structure, intent, and business implications. Understand how ISO 42001 differs from prior standards and where it creates new opportunities for practitioner influence.
12 chapters in this module
- What ISO 42001 replaces
- Core principles of AI management
- Mapping clauses to business functions
- Governance vs control distinctions
- When ISO 42001 applies
- First-mover advantage windows
- Stakeholder expectations alignment
- Regulatory recognition pathways
- Internal champion identification
- Baseline assessment design
- Gap analysis logic flow
- Scoping boundary decisions
Module 2. Leadership commitment and policy architecture
Design leadership-facing policies that secure buy-in and create lasting governance structures. Learn how to draft commitments that align with executive priorities and withstand scrutiny.
12 chapters in this module
- Writing leadership statements
- Tone from the top framing
- Policy hierarchy design
- Executive sign-off workflows
- AI risk appetite definition
- Resource allocation language
- Cross-functional mandate wording
- Accountability mapping
- Policy review cycles
- Integration with ESG goals
- Legal defensibility checks
- Version control practices
Module 3. Organizational context and risk assessment
Accurately define the operational landscape and identify material AI risks. Apply proven techniques to surface blind spots and prioritize action areas.
12 chapters in this module
- Internal environment mapping
- External factor analysis
- Stakeholder identification matrix
- AI-specific risk categories
- Risk likelihood calibration
- Impact scoring models
- Risk register templates
- Third-party exposure points
- Use-case risk profiling
- Historical incident review
- Risk treatment options
- Escalation threshold setting
Module 4. Designing AI management system scope
Define clear boundaries for AI governance initiatives. Create defensible scope statements that enable focused, executable delivery.
12 chapters in this module
- System boundary definition
- Included processes list
- Excluded functions justification
- Scope approval mechanism
- Change control protocol
- Integration with legacy systems
- Data flow mapping
- Model lifecycle coverage
- Human oversight points
- Auditability requirements
- Stakeholder notification plan
- Scope validation checklist
Module 5. Operational planning and controls
Build actionable implementation plans with embedded controls. Turn high-level goals into structured, auditable workflows.
12 chapters in this module
- Control selection criteria
- Control implementation levels
- Resource planning alignment
- Timeline integration
- Milestone tracking
- Control ownership model
- Documentation standards
- Training integration
- Monitoring frequency
- Exception handling
- Control testing
- Performance indicators
Module 6. Performance evaluation and monitoring
Establish continuous evaluation mechanisms that ensure ongoing compliance and value delivery. Implement feedback loops to refine governance over time.
12 chapters in this module
- KPI selection for AI systems
- Dashboard design
- Monitoring schedule
- Automated alerting
- Manual review cadence
- Incident logging
- Trend analysis
- Escalation procedures
- Corrective action tracking
- Management review inputs
- External audit prep
- Stakeholder reporting
Module 7. Internal audit and compliance verification
Conduct thorough internal audits that prepare for external scrutiny. Develop audit programs tailored to ISO 42001 requirements.
12 chapters in this module
- Audit planning
- Checklist development
- Sampling methodology
- Interview techniques
- Evidence collection
- Nonconformance classification
- Root cause analysis
- Finding communication
- Remediation tracking
- Audit report structure
- Follow-up timing
- Audit independence
Module 8. Management review and continual improvement
Lead executive-level reviews that drive governance maturity. Turn insights into strategic improvements across AI systems.
12 chapters in this module
- Review agenda design
- Stakeholder input integration
- Performance metric presentation
- Risk trend reporting
- Resource need identification
- Policy update proposals
- Strategic direction input
- Decision tracking
- Action item assignment
- Improvement backlog
- Success measurement
- Lessons learned capture
Module 9. Certification preparation and external audit
Navigate certification processes with precision. Prepare documentation and conduct rehearsals that ensure successful external audits.
12 chapters in this module
- Certification body selection
- Pre-audit assessment
- Document package assembly
- Evidence readiness
- Mock audit execution
- Auditor communication
- Opening meeting prep
- Fieldwork coordination
- Closing meeting
- Nonconformance response
- Certification decision
- Post-certification activities
Module 10. Vendor and third-party governance
Extend ISO 42001 principles to external partners. Ensure compliance across the AI supply chain.
12 chapters in this module
- Vendor selection criteria
- Contractual obligations
- Due diligence process
- Ongoing monitoring
- Subcontractor oversight
- Data processing agreements
- Security requirement mapping
- Compliance verification
- Termination clauses
- Incident response coordination
- Performance reviews
- Relationship management
Module 11. AI ethics integration and societal impact
Embed ethical considerations into governance frameworks. Address transparency, fairness, and accountability in AI systems.
12 chapters in this module
- Ethical principle definition
- Bias detection methods
- Fairness metrics
- Transparency requirements
- Explainability standards
- Human-in-the-loop design
- Societal impact assessment
- Stakeholder consultation
- Redress mechanisms
- Impact mitigation
- Public communication
- Ethics review board
Module 12. Scaling governance across the enterprise
Expand ISO 42001 practices enterprise-wide. Replicate success across business units and geographies.
12 chapters in this module
- Enterprise rollout strategy
- Localization adaptation
- Central governance team
- Regional champions
- Knowledge sharing
- Standardization vs flexibility
- Change management
- Training programs
- Maturity assessment
- Lessons learned dissemination
- Continuous refinement
- Exit strategy for legacy systems
How this maps to your situation
- Leading first ISO 42001 project
- Preparing for external audit
- Responding to executive mandate
- Expanding AI governance across teams
Before vs. after
Before
Engagements focused on tactical compliance and reactive fixes
After
Leadership of premium, strategic ISO 42001 implementations with influence across the AI governance landscape
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 3-4 hours per week over 12 weeks
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on ISO 42001 implementation in real-world contexts, with artifacts and examples from recent successful deployments.
Frequently asked
Is this course relevant if I’m not in a formal audit role?
Yes. This course is designed for practitioners leading implementation, not auditors. It focuses on building systems that succeed in practice, not just pass inspection.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive a certificate upon completion?
This course does not issue certificates. It delivers practical implementation capability, not credentialing.
$199 one-time. Approximately 3-4 hours per week over 12 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