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Direct ownership of ISO 42001 AI governance artefacts

$199.00
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A tailored course, built for your situation

Direct ownership of ISO 42001 AI governance artefacts

Build, own, and iterate the AI management system framework with confidence

$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.
Being involved in governance work without owning the core deliverables

The situation this course is for

Contributing to AI governance efforts but not leading the framework design or final artefacts, limiting visibility and influence

Who this is for

Senior QA or compliance practitioner in a global services firm, working at the intersection of quality assurance and emerging governance frameworks

Who this is not for

Entry-level auditors, developers building AI models, or consultants focused solely on policy drafting without implementation

What you walk away with

  • Own the ISO 42001 Statement of Applicability (SoA) with documented rationale for each control
  • Lead internal audit preparation with pre-built evidence trails and control mappings
  • Confidently respond to client or regulator follow-ups using structured, source-backed reasoning
  • Deliver repeatable AI governance packages that compound across engagements
  • Gain direct sign-off authority on framework adaptations for client-specific deployments

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in QA Context
Understand how ISO 42001 integrates with quality assurance workflows in services delivery. Learn the scope, key clauses, and how it differs from adjacent standards.
12 chapters in this module
  1. What ISO 42001 solves that QA frameworks don't
  2. Mapping ISO 42001 to client audit expectations
  3. Key roles in AI management system deployment
  4. How QA leads fit into ISO 42001 ownership
  5. Difference between compliance and governance artefacts
  6. Client types adopting ISO 42001 first
  7. Common overlap with ISO 27001 and ISO 9001
  8. When ISO 42001 applies in M&A due diligence
  9. Regulator interest in AI governance frameworks
  10. How the firm positions ISO 42001 in proposals
  11. First-party vs third-party certification paths
  12. Timeline for internal framework deployment
Module 2. Scope Definition and Boundary Setting
Define the boundaries of an AI management system with precision, aligning with client architecture and QA constraints.
12 chapters in this module
  1. Identifying AI systems in complex client environments
  2. Documenting system boundaries for audit
  3. Exclusion justification with evidence
  4. Stakeholder input for scope validation
  5. Version control for scope documents
  6. Handling multi-jurisdictional AI deployments
  7. Mapping scope to service delivery contracts
  8. Scope alignment with SOC 2 boundaries
  9. When to escalate boundary conflicts
  10. Using QA logs to validate scope completeness
  11. Scope sign-off workflow with client leads
  12. Common scope creep triggers to avoid
Module 3. Leadership and Organizational Context
Frame leadership commitment in a way that supports QA ownership and cross-functional influence.
12 chapters in this module
  1. Defining organizational context for AI governance
  2. Identifying internal stakeholders for ISO 42001
  3. Documenting leadership responsibilities
  4. Integrating AI policy with quality policy
  5. Establishing governance committees
  6. Roles for QA leads in governance bodies
  7. Tracking leadership engagement
  8. Documenting strategic direction inputs
  9. Linking AI objectives to business outcomes
  10. Handling conflicting priorities across teams
  11. Escalation paths for governance gaps
  12. Reporting structure for AI management
Module 4. Risk Assessment and Treatment Planning
Conduct AI-specific risk assessments that align with QA findings and client expectations.
12 chapters in this module
  1. Identifying AI-specific risks in QA workflows
  2. Stakeholder risk input collection
  3. Risk register structure for ISO 42001
  4. Risk tolerance thresholds
  5. Linking risks to control objectives
  6. QA findings as risk inputs
  7. Risk treatment plan documentation
  8. Assigning risk owners
  9. Risk review frequency
  10. Integrating risk register with audit logs
  11. Common risk assessment pitfalls
  12. Risk reporting to leadership
Module 5. Control Selection and Mapping
Select and justify Annex A controls with precision, using QA evidence to support applicability decisions.
12 chapters in this module
  1. Overview of ISO 42001 Annex A controls
  2. Control applicability assessment
  3. Mapping controls to QA processes
  4. Documenting control rationale
  5. Using QA test results as control evidence
  6. Control ownership assignment
  7. Control implementation tracking
  8. Handling control overlaps with other frameworks
  9. Control review frequency
  10. Updating control mappings for new deployments
  11. Common control selection errors
  12. Control gap analysis methodology
Module 6. Statement of Applicability (SoA) Development
Build a defensible, client-ready Statement of Applicability using QA insights and audit feedback.
12 chapters in this module
  1. SoA structure and required fields
  2. Documenting control inclusion rationale
  3. Documenting control exclusion justification
  4. Linking SoA to risk register
  5. Version control for SoA updates
  6. QA review of SoA completeness
  7. Client-specific SoA customisation
  8. SoA review workflow
  9. Common SoA audit findings
  10. Integrating SoA with other compliance docs
  11. SoA update triggers
  12. SoA sign-off authority
Module 7. Internal Audit Preparation
Prepare for internal audits with structured evidence packs and QA-aligned documentation.
12 chapters in this module
  1. Internal audit scope definition
  2. Audit schedule planning
  3. Evidence collection framework
  4. Using QA reports as audit evidence
  5. Audit finding categorisation
  6. Corrective action tracking
  7. Audit report structure
  8. Audit follow-up process
  9. QA lead role in audit execution
  10. Audit readiness checklist
  11. Common internal audit gaps
  12. Audit improvement planning
Module 8. Management Review and Reporting
Support management review cycles with data-driven, QA-informed inputs.
12 chapters in this module
  1. Management review agenda planning
  2. Input collection from QA teams
  3. Performance metric definition
  4. Reporting on control effectiveness
  5. Trend analysis from QA data
  6. Resource gap identification
  7. Improvement initiative tracking
  8. Review meeting documentation
  9. Action item follow-up
  10. Linking reviews to client feedback
  11. Review frequency decisions
  12. Escalation of unresolved items
Module 9. Continuous Improvement Mechanisms
Implement feedback loops that use QA findings to refine the AI management system.
12 chapters in this module
  1. Feedback collection from QA cycles
  2. Incident review integration
  3. Lessons learned documentation
  4. Improvement initiative prioritisation
  5. Change request workflow
  6. Version control for framework updates
  7. Stakeholder communication of changes
  8. Training needs from improvement cycles
  9. Tracking improvement impact
  10. Linking improvements to client outcomes
  11. Common improvement bottlenecks
  12. Sustaining improvement momentum
Module 10. Client-Facing Documentation and Communication
Produce client-ready deliverables that reflect ISO 42001 compliance with QA integration.
12 chapters in this module
  1. Client presentation of ISO 42001 status
  2. Response templates for client queries
  3. Evidence package assembly
  4. QA validation of client deliverables
  5. Handling client-specific requirements
  6. Documentation version control
  7. Confidentiality handling
  8. Client review workflow
  9. Common client questions
  10. Client escalation handling
  11. Client feedback integration
  12. Renewal cycle documentation
Module 11. Third-Party Certification Readiness
Prepare for external audits with structured, QA-validated evidence packs.
12 chapters in this module
  1. Certification body selection
  2. Pre-certification gap assessment
  3. Evidence pack assembly
  4. QA validation of certification docs
  5. Internal dry-run audits
  6. Corrective action planning
  7. Certification audit timeline
  8. Auditor communication protocol
  9. Common certification findings
  10. Post-certification maintenance
  11. Surveillance audit prep
  12. Certification scope updates
Module 12. Sustaining and Scaling the Framework
Scale the AI management system across engagements using repeatable, QA-integrated processes.
12 chapters in this module
  1. Framework reuse across clients
  2. Template library development
  3. Training new team members
  4. QA integration into onboarding
  5. Framework update distribution
  6. Lessons learned sharing
  7. Cross-functional collaboration
  8. Client-specific adaptation process
  9. Framework maturity assessment
  10. Scaling success metrics
  11. Resource planning for growth
  12. Long-term framework ownership

How this maps to your situation

  • When starting an ISO 42001 engagement from scratch
  • When supporting a client through certification
  • When QA findings reveal gaps in AI governance
  • When scaling the framework across multiple accounts

Before vs. after

Before
Contributing to AI governance efforts without owning the core framework documentation or final sign-off
After
Directly owning the ISO 42001 artefacts, including Statement of Applicability, risk register, and internal audit packs, with confidence to lead client engagements

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 week over 12 weeks, with self-paced access to all materials.

If nothing changes
Continuing to support ISO 42001 initiatives without owning the key deliverables limits visibility, influence, and career growth in the AI governance space.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses specifically on ISO 42001 implementation in QA-led services environments, with real-world templates and decision trails from client engagements.

Frequently asked

Is this course specific to the firm’s internal processes?
No, it's designed for practitioners in global services firms and focuses on universally applicable ISO 42001 implementation patterns.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes, every module includes downloadable templates and worked examples based on real client scenarios.
$199 one-time. Approximately 3 hours per week over 12 weeks, with self-paced access to all materials..

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
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