A tailored course, built for your situation
Go-To Authority on ISO 42001 at Senior Level
Become the recognised internal expert on AI management systems with ISO 42001
$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 overlooked despite leading complex projects
The situation this course is for
High-performing project managers often stay under the radar when it comes to emerging standards, missing chances to lead the conversation on new frameworks like ISO 42001.
Who this is for
Senior Project Manager driving delivery in a global services firm, working across compliance, risk, and technology teams
Who this is not for
Entry-level coordinators, team members focused solely on execution without influence on framework adoption
What you walk away with
- First internal reference for ISO 42001 interpretation and application
- Recognised contributor in cross-functional AI governance initiatives
- Trusted advisor status when clients ask about AI management systems
- Clear documentation trail that becomes team standard
- Consistent inclusion in scoping calls for new AI-related engagements
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope and Boundaries
Define where ISO 42001 applies in client and internal AI projects using real project boundaries and organisational context.
12 chapters in this module
- What ISO 42001 covers and excludes
- AI system lifecycle phases
- Mapping to existing project frameworks
- Integration with PMO standards
- Stakeholder roles in governance
- Identifying AI system owners
- Documenting AI system inventories
- Establishing data lineage clarity
- Setting boundary definitions
- Approval workflows for scope
- Handling multi-jurisdictional AI use
- Common misapplications to avoid
Module 2. Leadership and Commitment Frameworks
Demonstrate how senior engagement drives AI governance adoption and shapes internal credibility.
12 chapters in this module
- Executive sponsorship models
- Securing leadership buy-in
- Framing ISO 42001 to non-technical leaders
- Aligning with ESG goals
- Reporting progress meaningfully
- Creating accountability chains
- Linking to risk appetite statements
- Communicating intent internally
- Managing cross-department expectations
- Documenting leadership involvement
- Budgeting for governance activities
- Prioritising AI initiatives
Module 3. Planning AI Management Systems
Structure planning artefacts that guide implementation and ensure compliance alignment from the start.
12 chapters in this module
- Risk-based thinking approach
- Identifying AI-specific risks
- Opportunity assessment techniques
- Setting measurable objectives
- Defining success criteria
- Creating implementation timelines
- Resource allocation strategies
- Third-party involvement rules
- Client-specific adaptations
- Change management integration
- Legal and regulatory mapping
- Stakeholder communication plans
Module 4. Support and Resource Management
Ensure teams have the tools, training, and documentation needed to sustain AI governance.
12 chapters in this module
- Competency frameworks for AI roles
- Training needs analysis
- Internal awareness programmes
- Document control processes
- Versioning and access rules
- Knowledge retention strategies
- Tooling integration approaches
- Vendor documentation standards
- Language and format consistency
- Accessibility considerations
- Audit-readiness checks
- Scaling support across teams
Module 5. Operational Controls for AI Systems
Implement concrete controls that govern AI development, deployment, and monitoring.
12 chapters in this module
- Design and development controls
- Data quality assurance methods
- Bias identification procedures
- Human oversight mechanisms
- Performance monitoring rules
- Transparency requirements
- Explainability standards
- Incident response protocols
- Update and retraining cycles
- Model validation steps
- Client interaction guidelines
- End-user feedback loops
Module 6. Performance Evaluation Techniques
Measure the effectiveness of AI management systems and report insights clearly.
12 chapters in this module
- Internal audit planning
- Assessment checklist creation
- Monitoring frequency rules
- Performance indicator selection
- Data collection methods
- Gap analysis frameworks
- Improvement planning
- Reporting to project sponsors
- Benchmarking against peers
- Corrective action tracking
- Trend analysis over time
- Lessons learned integration
Module 7. Improvement and Continual Adaptation
Drive ongoing refinement of AI governance based on feedback and performance data.
12 chapters in this module
- Feedback collection systems
- Root cause analysis methods
- Change request handling
- Version update protocols
- Lessons learned repositories
- Adaptation to new regulations
- Technology shift responses
- Client-driven adjustments
- Internal audit findings follow-up
- Stakeholder satisfaction surveys
- Benchmark updates
- Future-proofing strategies
Module 8. Documentation and Record Keeping
Build comprehensive, reusable documentation that withstands scrutiny and supports scalability.
12 chapters in this module
- Required record types
- Record retention policies
- Storage and access rules
- Version control systems
- Metadata tagging standards
- Audit trail creation
- Digital signature use
- Paper vs digital formats
- Third-party access handling
- Language and translation needs
- Confidentiality levels
- Disaster recovery plans
Module 9. Internal Audit Execution
Conduct effective audits that verify compliance and build confidence in AI governance.
12 chapters in this module
- Audit planning steps
- Checklist development
- Sampling methodologies
- Interview techniques
- Evidence collection rules
- Finding documentation
- Grading non-conformities
- Reporting structure design
- Follow-up timelines
- Audit schedule coordination
- Cross-project consistency checks
- Audit efficiency tips
Module 10. Certification Preparation
Prepare for third-party audits and certification with confidence and completeness.
12 chapters in this module
- Choosing certification bodies
- Pre-audit gap assessments
- Evidence readiness checks
- Stage 1 vs Stage 2 planning
- Documentation package assembly
- Internal dry runs
- Corrective action responses
- Management review preparation
- Surveillance audit readiness
- Certification timeline management
- Post-certification obligations
- Publicity and internal comms
Module 11. Cross-Functional Collaboration Models
Lead alignment between legal, risk, tech, and operations teams on AI governance.
12 chapters in this module
- Inter-departmental RACI charts
- Governance committee roles
- Communication protocol design
- Conflict resolution frameworks
- Joint decision-making models
- Stakeholder mapping
- Escalation paths
- Meeting rhythm setup
- Decision logging standards
- Change coordination rules
- Client-facing alignment
- Global team coordination
Module 12. Positioning as Go-To Expert
Build visibility and credibility as the trusted source on ISO 42001 within your firm.
12 chapters in this module
- Knowledge sharing strategies
- Internal presentation frameworks
- Creating reusable playbooks
- Mentoring junior staff
- Speaking up in strategy calls
- Writing thought leadership pieces
- Contributing to bids and proposals
- Client Q&A preparation
- Conference talk submissions
- Internal training delivery
- Building referral networks
- Tracking influence growth
How this maps to your situation
- When launching an AI project
- During internal audit preparation
- Before client governance discussions
- After new regulatory updates
Before vs. after
Before
Relies on external guidance and waits to be consulted on AI governance matters
After
Proactively shapes ISO 42001 implementation and becomes the first call across teams
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 integration into existing project rhythms.
If nothing changes
Continuing without structured expertise leaves impact fragmented and recognition delayed, limiting upward visibility in a fast-moving domain.
How this compares to the alternatives
Unlike generic compliance courses, this focuses exclusively on ISO 42001 with project-ready templates and real-world scenarios relevant to senior project managers in global services firms.
Frequently asked
Who is this course designed for?
Senior project managers in consulting or services firms who lead cross-functional initiatives and want to become the recognised expert on AI governance using ISO 42001.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to client work?
Yes, the templates and playbooks are designed for immediate adaptation to client engagements.
$199 one-time. Approximately 3 hours per module, designed for integration into existing project rhythms..
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