A tailored course, built for your situation
Mastering ISO 42001 for Global Technology Executives
Build defensible AI governance systems with framework-backed reasoning and repeatable artefacts
The situation this course is for
Even strong implementations falter when challenged, without accessible references, specific control mappings, or documented rationale, justification becomes reactive rather than rooted in precedent.
Who this is for
Global technology executives overseeing AI governance and compliance integration, responsible for justifying architectural and policy decisions under scrutiny
Who this is not for
Entry-level compliance staff, auditors without implementation authority, or practitioners focused solely on non-AI domains
What you walk away with
- Map AI governance decisions directly to ISO 42001 control clauses with documented justification
- Respond to peer challenges using specific examples, standards text, and implementation precedents
- Produce reusable narrative templates for common ISO 42001 audit lines of inquiry
- Build a personal reference library of framework-aligned responses and control interpretations
- Deliver consistent, source-backed explanations across cross-functional escalation points
The 12 modules (with all 144 chapters)
- Defining AI governance scope
- ISO 42001 vs ISO 27001 overlap
- Clause 4 context of organization
- AI system boundary mapping
- Stakeholder identification
- Governance vs ethics distinction
- Regulatory alignment points
- First-party vs third-party AI
- Internal adoption barriers
- Executive sponsorship models
- Vendor oversight levers
- Baseline assessment design
- Clause 5 leadership commitment
- Accountability vs responsibility
- Oversight artefact design
- Decision right documentation
- Policy sign-off workflows
- Escalation path mapping
- Cross-functional alignment
- Board-level reporting links
- Risk appetite statements
- AI governance charter
- Performance metric design
- KPI tracking templates
- Clause 6 risk planning
- Hazard identification models
- Bias detection triggers
- Model transparency thresholds
- Human oversight points
- Risk classification matrix
- Likelihood impact grid
- Third-party risk profiling
- Incident history review
- Control gap analysis
- Risk treatment options
- Documentation standards
- Annex A control overview
- Control 8.1 data provenance
- Control 8.2 model versioning
- Control 8.3 output logging
- Control 8.4 bias testing
- Control 8.5 explainability
- Control 9.1 human review
- Control 9.2 fallback modes
- Control 10.1 incident response
- Control 10.2 audit logging
- Control 11.1 stakeholder input
- Control 11.2 feedback loops
- Statement of Applicability
- Control implementation log
- Audit trail design
- Evidence retention rules
- Internal review cycles
- Gap reporting format
- Remediation tracking
- Version control process
- External auditor prep
- Question anticipation
- Response consistency
- Post-audit follow-up
- Identifying oversight groups
- Legal team alignment
- Privacy office coordination
- Engineering team buy-in
- Executive summary templates
- Regulator-facing language
- Public disclosure limits
- Vendor assessment criteria
- Third-party audit rights
- Contractual linkage
- Escalation protocols
- Feedback integration
- Awareness vs training
- Role-specific modules
- AI developer curriculum
- Product manager briefings
- Legal team workshops
- HR policy alignment
- Incident reporting drills
- Phishing simulation
- Model drift alerts
- Ethics board input
- Continuous learning
- Completion tracking
- Clause 9 monitoring
- Key performance indicators
- Control effectiveness metrics
- Automated control checks
- Manual review frequency
- Anomaly detection
- Threshold alerting
- Trend analysis
- Benchmarking against peers
- Internal audit coordination
- Reporting cycles
- Executive dashboards
- Audit planning process
- Scope definition
- Evidence collection
- Interview techniques
- Control testing
- Finding classification
- Report drafting
- Management response
- Corrective action tracking
- Audit independence
- Sampling methods
- Follow-up timing
- Clause 10.2 improvement
- Incident root cause
- Feedback integration
- Lessons learned
- Process refinement
- Control updates
- Policy revision
- Stakeholder input
- Technology changes
- Regulatory shifts
- Market developments
- Annual review cycle
- Playbook structure
- Executive summary
- Control mapping guide
- Audit response templates
- Stakeholder comms
- Training materials
- Metrics dashboard
- Gap assessment tool
- Incident protocol
- Vendor review form
- Change request log
- Version history
- Leadership transition
- Knowledge transfer
- Documentation upkeep
- Policy refresh cycle
- Control revalidation
- Technology evolution
- Regulatory updates
- Industry shifts
- Benchmarking participation
- Lessons archive
- Succession planning
- Governance maturity model
How this maps to your situation
- When initiating enterprise AI governance
- During regulatory or internal audit prep
- After AI incident or near-miss
- When scaling AI systems globally
Before vs. after
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 executive pacing with just-in-time application.
How this compares to the alternatives
Unlike generic AI ethics courses, this program is anchored in ISO 42001’s auditable controls, providing actionable, defensible frameworks rather than abstract principles.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.