A tailored course, built for your situation
Become the Go To Resource for ISO 42001 at Your Firm
Position yourself as the internal authority on AI management systems through structured mastery and visibility
$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 seen as the default expert for emerging standards
The situation this course is for
Even senior practitioners get bypassed when new frameworks roll out without clear ownership. Without visible command of ISO 42001, others may step into the role by default, even if they lack your depth.
Who this is for
Senior functional leader in a global services firm, responsible for driving adoption of new compliance and governance frameworks across client engagements
Who this is not for
Those looking for introductory awareness or a high-level overview of AI governance
What you walk away with
- Deliver ISO 42001 Statements of Applicability that stakeholders accept on first review
- Lead internal workshops that position you as the de facto subject matter owner
- Build a referenceable implementation playbook used across teams
- Anticipate auditor questions with documented rationale and evidence paths
- Earn peer referrals when AI governance questions arise
The 12 modules (with all 144 chapters)
Module 1. Mastering ISO 42001 Core Principles
Build a grounded understanding of ISO 42001’s structure, intent, and relationship to AI lifecycle management.
12 chapters in this module
- Purpose of ISO 42001
- AI system lifecycle stages
- Human oversight requirements
- Transparency obligations
- Bias and fairness controls
- Accountability mapping
- Organizational roles defined
- Scope boundaries for AI
- Risk-based approach foundation
- Compliance vs ethics balance
- Integration with existing standards
- Stakeholder expectations
Module 2. Scoping the AI Management System
Define clear boundaries and applicability for ISO 42001 in real-world delivery contexts.
12 chapters in this module
- Determining AI system scope
- Identifying automated decisions
- Classifying system impact level
- Documenting deployment context
- Exclusion justification rules
- Stakeholder mapping exercise
- Use case eligibility filter
- Legacy system assessment
- Third party AI inclusion
- Cloud-hosted AI considerations
- Internal tools vs customer facing
- Global jurisdictional factors
Module 3. Building the Statement of Applicability
Create an auditable, defensible SoA with justification for each control inclusion or exclusion.
12 chapters in this module
- Control-by-control applicability
- Rationale for exclusions
- Linking controls to AI risks
- Internal review workflow
- Version control strategy
- Stakeholder sign off process
- Cross-functional alignment
- Evidence trail preparation
- Integration with ISO 27001 SoA
- Common auditor questions
- Updating for model changes
- Maintenance ownership
Module 4. Leading Internal Readiness Assessments
Run evaluations that surface gaps while positioning you as the guiding voice.
12 chapters in this module
- Pre-assessment checklist
- Team competency audit
- Process maturity scoring
- Documentation completeness
- AI impact self-declaration
- Vendor AI readiness check
- Gap classification framework
- Remediation tracking
- Workshop facilitation guide
- Executive summary template
- Peer benchmarking
- Progress reporting rhythm
Module 5. Designing AI Risk Evaluations
Structure repeatable risk assessment workflows tailored to AI deployment contexts.
12 chapters in this module
- AI-specific risk criteria
- Harm severity classification
- Likelihood estimation model
- Data quality risks
- Model drift detection
- Feedback loop failures
- Unintended use cases
- Adversarial attack vectors
- Human override failure
- Escalation path design
- Risk acceptance thresholds
- Independent review triggers
Module 6. Managing AI System Lifecycle Controls
Embed ISO 42001 controls across development, deployment, and monitoring phases.
12 chapters in this module
- Design phase controls
- Training data documentation
- Model validation steps
- Deployment approval workflow
- Monitoring baseline setup
- Performance threshold rules
- Incident response for AI
- Model retraining triggers
- Version change logging
- Decommissioning process
- Retention and archiving
- Audit logging requirements
Module 7. Establishing Human Oversight Mechanisms
Define when and how humans intervene in AI-driven decisions.
12 chapters in this module
- Critical decision points
- Override capability design
- Explainability standards
- Human-in-the-loop workflows
- Fallback process definition
- Monitoring for override use
- Training for interveners
- Escalation procedures
- Review frequency rules
- Bias detection triggers
- User feedback channels
- Logging intervention events
Module 8. Ensuring Transparency and Documentation
Produce clear, accessible documentation that supports both compliance and trust.
12 chapters in this module
- Public AI register design
- System purpose documentation
- User notification standards
- Model card content
- Technical documentation
- Training data summary
- Performance metrics
- Limitations disclosure
- Update history log
- Stakeholder access method
- Language accessibility
- Third party documentation
Module 9. Auditor-Ready Evidence Preparation
Assemble evidence trails that anticipate reviewer expectations and reduce back-and-forth.
12 chapters in this module
- Evidence mapping framework
- Control implementation proof
- Testing documentation
- Policy version history
- Training attendance records
- Audit trail completeness
- Incident response logs
- Remediation records
- Stakeholder consultation
- Review meeting minutes
- Change approval logs
- External assessment reports
Module 10. Scaling Governance Across Teams
Extend ISO 42001 practices across delivery units without central bottlenecks.
12 chapters in this module
- Local champion model
- Standardised templates
- Central guidance repository
- Peer review network
- Onboarding new projects
- Cross-team alignment
- Governance as a service
- Light touch assessment
- Automated policy checks
- Feedback loop to centre
- Scaling playbooks
- Success measurement
Module 11. Integrating with Broader Compliance Programs
Align ISO 42001 with other frameworks like ISO 27001, SOC 2, and GDPR.
12 chapters in this module
- Overlap with ISO 27001
- SOC 2 control mapping
- GDPR AI provisions
- NIST AI RMF alignment
- COBIT integration
- Privacy by design
- Ethics committee linkage
- Legal team coordination
- Regulatory change tracking
- Cross-framework audits
- Consolidated reporting
- Unified control owners
Module 12. Sustaining and Evolving the AI MS
Maintain relevance as AI capabilities and expectations evolve.
12 chapters in this module
- Management review meetings
- Performance metrics review
- Internal audit planning
- Corrective action process
- Continuous improvement
- Stakeholder feedback
- Technology change impact
- Regulatory watch process
- Training refresh cycle
- Policy update workflow
- Lessons learned capture
- Future readiness roadmap
How this maps to your situation
- Preparing for first ISO 42001 audit
- Leading internal adoption across teams
- Building credibility as go-to expert
- Reducing rework during compliance cycles
Before vs. after
Before
Operating behind the scenes on governance initiatives without formal recognition
After
Being the named point of contact when ISO 42001 questions come up across teams and leadership
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 2.5 hours per module, designed to be completed alongside active projects.
If nothing changes
Others will step into the role of default expert, even if they lack your operational depth, simply because they are more visible or vocal.
How this compares to the alternatives
Unlike generic compliance training, this course delivers role-specific workflows, peer-tested artefacts, and focused mastery of ISO 42001 that positions you as the internal authority, not just another practitioner.
Frequently asked
Who is this course designed for?
Senior functional leaders driving governance and compliance frameworks in professional services and consulting environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me stand out internally?
Yes, by building recognised expertise in ISO 42001, you position yourself as the go-to resource when AI governance comes up.
$199 one-time. Approximately 2.5 hours per module, designed to be completed alongside active projects..
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