A tailored course, built for your situation
Mastering ISO 42001 for Advanced Regulatory Specialists
Build complete command of the AI management system standard from implementation through audit readiness
$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
Advanced Regulatory Specialist responsible for compliance framework adoption, control mapping, and audit preparation within a regulated UK industry context.
Who this is not for
Entry-level compliance staff, consultants without in-house regulatory experience, or practitioners outside of formal standards-driven environments.
What you walk away with
- Internalise the full ISO 42001 control logic and apply it confidently to new AI system assessments
- Produce a complete, justified Statement of Applicability without external support
- Map controls directly to evidence requirements expected by UK regulators
- Build repeatable assessment templates for ongoing compliance cycles
- Lead internal training sessions on ISO 42001 with authority and clarity
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI Management System
Establish foundational understanding of ISO 42001's purpose, scope, and alignment with UK regulatory expectations. Learn how it differs from related standards and where it applies within organisational AI governance.
12 chapters in this module
- What ISO 42001 solves
- AI risk vs traditional compliance
- Core principles of the standard
- Structure of the management system
- Clause-by-clause overview
- Relationship to UK GDPR
- Integration with existing policies
- Roles in implementation
- Common misconceptions
- First steps checklist
- Regulatory positioning
- Self-assessment tool
Module 2. Context of the Organisation and Leadership Commitment
Define organisational context, stakeholder expectations, and leadership responsibilities under ISO 42001. Develop tailored documentation that demonstrates real ownership.
12 chapters in this module
- Identifying interested parties
- Understanding external pressures
- Internal AI use cases
- Leadership accountability framework
- Policy drafting guide
- Scope definition examples
- Exclusion justification
- Risk appetite alignment
- Documentation requirements
- Executive communication
- Audit readiness check
- Template library
Module 3. Planning the AI Management System
Translate strategic intent into actionable plans. Develop risk treatment plans specific to AI systems and define measurable objectives.
12 chapters in this module
- Risk assessment methodology
- AI-specific threat modelling
- Legal and ethical risks
- Risk tolerance levels
- Treatment plan structure
- Control selection logic
- Objective setting framework
- KPI design for AI oversight
- Resource planning
- Timeline development
- Stakeholder alignment
- Review cycle definition
Module 4. Support Processes and Documentation
Implement robust support functions including competence development, awareness, and document control tailored to AI governance.
12 chapters in this module
- Competence mapping
- Training needs analysis
- Awareness programme design
- Document hierarchy
- Version control process
- Retention policies
- Access controls
- Internal communication plan
- Vendor documentation
- External reporting
- Audit trail setup
- Template customisation
Module 5. Operational Controls for AI Systems
Detail implementation of key operational controls including data management, model development, monitoring, and incident response.
12 chapters in this module
- Data governance for AI
- Model lifecycle stages
- Human oversight design
- Transparency requirements
- Bias detection methods
- Performance monitoring
- Change control process
- Incident escalation path
- Audit logging
- Third-party integration
- Testing protocols
- Decommissioning plan
Module 6. Statement of Applicability Development
Build a complete, justified Statement of Applicability with rationale for inclusion or exclusion of each control.
12 chapters in this module
- Control inventory
- Applicability criteria
- Justification framework
- Risk linkage
- Evidence mapping
- Stakeholder review
- Approval workflow
- Version management
- Integration with GRC tools
- Cross-reference guide
- Audit preparation
- Living document maintenance
Module 7. Performance Evaluation and Monitoring
Establish effective monitoring, measurement, and internal audit processes specific to AI systems.
12 chapters in this module
- Monitoring objectives
- Key performance indicators
- Internal audit scope
- Audit schedule
- Competence requirements
- Checklist development
- Finding classification
- Root cause analysis
- Corrective action process
- Management review inputs
- Reporting structure
- Continuous improvement
Module 8. Internal Audit Preparation
Prepare for internal audits with comprehensive checklists, evidence collection strategies, and audit simulation exercises.
12 chapters in this module
- Audit planning
- Sampling methodology
- Document review process
- Interview techniques
- Observation protocols
- Finding documentation
- Nonconformance handling
- Corrective action tracking
- Audit report structure
- Follow-up process
- Readiness assessment
- Gap closure tracking
Module 9. Management Review and Continuous Improvement
Develop materials and processes for effective management reviews that drive continuous improvement of the AI management system.
12 chapters in this module
- Review inputs checklist
- Performance summary report
- Resource assessment
- Opportunity identification
- Strategic alignment
- Action item tracking
- Minutes template
- Decision logging
- Improvement backlog
- Change implementation
- Stakeholder feedback
- Cycle closure
Module 10. External Audit Readiness
Prepare for certification audits with complete documentation packages, evidence trails, and response strategies.
12 chapters in this module
- Certification body selection
- Stage 1 readiness
- Document submission
- Evidence organisation
- Interview preparation
- Deficiency response
- Corrective action plan
- Stage 2 readiness
- Audit duration estimation
- Post-audit follow-up
- Surveillance audits
- Recertification cycle
Module 11. Integration with Existing Compliance Frameworks
Align ISO 42001 with other standards such as ISO 27001, SOC 2, and UK GDPR to avoid duplication and maximise efficiency.
12 chapters in this module
- Control overlap mapping
- Efficiency opportunities
- Integrated documentation
- Cross-framework audit
- Resource optimisation
- Training consolidation
- Policy integration
- Tool unification
- Reporting alignment
- Governance streamlining
- Change management
- Maturity assessment
Module 12. Sustaining and Scaling the AI Management System
Develop strategies for maintaining and expanding the AI management system across additional business units and use cases.
12 chapters in this module
- Change management process
- Scaling roadmap
- New system onboarding
- Lessons learned
- Knowledge transfer
- Succession planning
- Technology evolution
- Regulatory updates
- Benchmarking
- Maturity progression
- External recognition
- Future roadmap
How this maps to your situation
- Implementing ISO 42001 from scratch
- Preparing for internal audit
- Responding to regulatory inquiry
- Scaling compliance across AI projects
Before vs. after
Before
Reliance on external consultants for ISO 42001 interpretation and documentation, inconsistent control application, reactive audit preparation
After
Internal expertise in ISO 42001 requirements, consistent and defensible control mapping, proactive audit readiness, leadership in AI governance
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 24 hours of focused learning, designed to be completed over four weeks at two modules per week.
If nothing changes
Organisations without structured AI governance risk noncompliance with emerging UK regulatory expectations, potential enforcement actions, and reputational damage from poorly managed AI deployments.
How this compares to the alternatives
Unlike generic compliance courses, this programme focuses exclusively on ISO 42001 with practical tools and real-world examples relevant to UK regulatory specialists. Compared to consultant-led training, it offers deeper control-level mastery at a fraction of the cost.
Frequently asked
Who is this course designed for?
Advanced Regulatory Specialists and compliance professionals responsible for implementing or auditing AI governance frameworks in regulated UK industries.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior knowledge of ISO 42001 required?
No. The course starts with fundamentals and builds to advanced application, making it suitable for both new learners and experienced practitioners seeking mastery.
$199 one-time. Approximately 24 hours of focused learning, designed to be completed over four weeks at two modules per week..
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