A tailored course, built for your situation
Deeper command of the ISO 42001 framework for AI governance
Master the full arc of AI governance implementation with confidence and 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.
Who this is for
Compliance and governance practitioners in tech-forward organizations leading or supporting AI governance initiatives
Who this is not for
This is not for consultants selling ISO 42001 certifications or auditors focused solely on compliance checking. It’s for internal builders who own the framework’s application and evolution.
What you walk away with
- Produce complete ISO 42001 control documentation independently
- Lead scoping and gap assessment for new AI initiatives using the standard
- Map organisational roles and responsibilities to ISO 42001 clause requirements
- Build repeatable templates for AI risk registers and SoA equivalents
- Anticipate auditor questions and prepare responses grounded in framework logic
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001’s structure and intent
Break down the standard’s clauses, schema, and alignment with broader governance expectations. Learn how it differs from SOC 2 and ISO 27001 in practical terms.
12 chapters in this module
- Clause-by-clause breakdown
- Intent behind Section 4
- Context of the organisation
- Scope definition patterns
- AI-specific context factors
- Stakeholder mapping exercise
- Internal vs external context
- AI governance maturity model
- Benchmarking against peers
- Regulatory alignment points
- Organisational knowledge mapping
- First draft of scope statement
Module 2. Leadership and governance roles under ISO 42001
Define accountability, assign clear ownership, and structure oversight mechanisms that satisfy the standard and function in practice.
12 chapters in this module
- Top management responsibility
- Assigning the AI governance lead
- Documenting leadership commitment
- Creating governance forums
- Cadence for AI review meetings
- Role clarity across teams
- Delegation within compliance
- Escalation paths defined
- Authority boundaries set
- Cross-functional input process
- Policy sign-off workflows
- Leadership training plan
Module 3. Risk assessment specific to AI systems
Develop tailored risk criteria, identify AI-specific threats, and integrate risk evaluation into existing compliance workflows.
12 chapters in this module
- AI-specific risk categories
- Bias identification framework
- Transparency risk mapping
- Model lifecycle threats
- Data quality risk filters
- Third-party AI vendor risks
- Risk likelihood calibration
- Impact scoring for AI harm
- Risk appetite thresholds
- Risk register structure
- Linking risk to controls
- Risk assessment documentation
Module 4. Control selection and mapping
Translate ISO 42001 Annex A controls into operational requirements, map to existing practices, and identify implementation gaps.
12 chapters in this module
- Annex A control overview
- Control applicability filter
- Mapping to current practices
- Gap identification method
- Control ownership assignment
- Compensating controls logic
- Documentation standards
- Control maturity scoring
- Implementation roadmap
- Integration with SOC 2
- Crosswalk to NIST AI RMF
- Control register finalisation
Module 5. AI policy and documentation framework
Craft clear, enforceable policies that align with ISO 42001 and reflect organisational context and risk appetite.
12 chapters in this module
- AI policy structure
- Policy ownership defined
- Version control setup
- Policy review cycle
- Stakeholder input process
- Policy communication plan
- Roles and responsibilities list
- Acceptable use standards
- Model development rules
- Deployment approval workflow
- Monitoring and logging
- Incident response policy
Module 6. Operationalising AI management controls
Implement controls across design, development, deployment, and monitoring phases of AI systems.
12 chapters in this module
- Design phase controls
- Development guardrails
- Testing requirements
- Bias detection integration
- Explainability implementation
- Human oversight design
- Deployment checklists
- Monitoring thresholds
- Audit logging standards
- Performance drift alerts
- Feedback loop integration
- Decommissioning process
Module 7. Internal audit and monitoring
Design audit cycles, create inspection checklists, and use findings to improve the AI management system continuously.
12 chapters in this module
- Audit planning calendar
- Internal auditor selection
- Checklist design method
- Sampling approach
- Evidence collection
- Nonconformity classification
- Root cause analysis
- Corrective action tracking
- Audit reporting format
- Management review input
- Continuous improvement loop
- Audit schedule maintenance
Module 8. Management review and improvement
Structure executive reviews of the AI management system, report key metrics, and drive ongoing refinement.
12 chapters in this module
- Review meeting agenda
- Metrics to report
- Performance dashboards
- Audit finding summary
- Risk trend analysis
- Resource needs assessment
- Improvement initiative backlog
- Stakeholder feedback review
- Regulatory change impact
- Update cycle governance
- Action item tracking
- Minutes documentation
Module 9. Preparing for external audit
Assemble necessary documentation, conduct readiness assessments, and build confidence for third-party evaluation.
12 chapters in this module
- Audit scope confirmation
- Document readiness checklist
- Evidence folder structure
- Interview preparation
- Gap remediation plan
- Pre-audit walkthrough
- Evidence collection workflow
- Internal mock audit
- Response drafting process
- Escalation protocol
- Audit liaison role
- Post-audit follow-up
Module 10. Vendor and third-party AI oversight
Apply ISO 42001 requirements to third-party AI tools, APIs, and platforms used across the organisation.
12 chapters in this module
- Third-party AI inventory
- Due diligence checklist
- Contractual requirements
- Vendor risk classification
- Ongoing monitoring plan
- API security review
- Model transparency checks
- Subprocessor oversight
- Right to audit clauses
- Exit strategy planning
- Vendor performance review
- Compliance validation
Module 11. Training and awareness programmes
Design role-specific training, communicate expectations, and reinforce AI governance culture across teams.
12 chapters in this module
- Training needs analysis
- Role-specific curricula
- Awareness campaign design
- Onboarding integration
- Refresher schedule
- Training delivery format
- Content ownership
- Evaluation method
- Feedback loop
- Policy attestation
- Incident reporting training
- Culture measurement
Module 12. Sustaining and evolving the AI management system
Institutionalise the framework, integrate updates, and adapt to changing technology and regulatory landscapes.
12 chapters in this module
- Change management process
- Regulatory monitoring
- Framework update cycle
- Lessons learned capture
- Knowledge transfer plan
- Succession planning
- Tooling integration
- Cross-company alignment
- External benchmarking
- Stakeholder evolution
- System maturity tracking
- Long-term roadmap
How this maps to your situation
- When establishing an AI governance function
- Preparing for external certification
- Integrating AI controls into existing compliance
- Scaling AI oversight across teams
Before vs. after
Before
Navigating ISO 42001 with fragmented knowledge and limited documentation examples
After
Confidently leading ISO 42001 implementation with complete control narratives and internal authority
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 steady progress over 4-6 weeks with full implementation resources.
If nothing changes
Without deeper command of the framework, initiatives may rely on fragmented interpretations, increasing the chance of audit findings or inconsistent application across teams.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on ISO 42001 with step-by-step implementation logic, real-world examples, and templates tailored to tech-driven organisations.
Frequently asked
Is this course suitable for someone without a technical background?
Yes. The course focuses on governance, risk, and control frameworks, not coding or model development. It’s designed for compliance, risk, and governance professionals.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with actual ISO 42001 certification?
Yes. The course provides the knowledge and documentation tools needed to prepare for and support certification audits.
$199 one-time. Approximately 3 hours per module, designed for steady progress over 4-6 weeks with full implementation resources..
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