A tailored course, built for your situation
Mastering ISO 42001 for Major Incident Managers
Build AI governance frameworks with full control over structure, validation, and escalation paths
$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 bypassed on critical AI governance calls despite frontline incident expertise
The situation this course is for
Practitioners with hands-on incident experience are often brought in late during AI governance rollouts, leading to misaligned controls, rework, and diluted ownership. The gap isn't knowledge, it's recognized authority to make binding decisions on framework implementation.
Who this is for
Senior incident and operations managers in global services firms who are expected to lead AI governance adoption but lack formal decision rights
Who this is not for
Entry-level auditors, consultants selling ISO 42001 as a project, or leadership seeking high-level overviews without implementation depth
What you walk away with
- Own final approval on AI control validation rules under ISO 42001
- Lead incident-to-governance feedback loops without escalation bottlenecks
- Design and lock policy versioning cycles for AI incidents independently
- Control integration logic between ITIL processes and ISO 42001 control mappings
- Approve audit-readiness artifacts without dependency on compliance seniors
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Foundations
Break down the structure, intent, and operational scope of ISO 42001 in relation to incident management frameworks.
12 chapters in this module
- Core principles of ISO 42001
- AI governance vs traditional risk models
- Mapping controls to incident lifecycle stages
- Defining AI system boundaries
- Stakeholder roles in AI oversight
- Documentation requirements for audits
- Control objective prioritization
- Integration with IT service management
- Escalation thresholds for AI incidents
- Version control for AI policies
- Audit trail expectations
- Regulatory alignment pathways
Module 2. Incident Classification Under AI Governance
Apply ISO 42001 control criteria to categorize and route AI-driven incidents with precision.
12 chapters in this module
- Classifying AI model failures
- Determining human oversight triggers
- Routing logic for AI incidents
- Severity scoring with AI context
- Automated triage rules
- False positive handling
- Cross-system impact assessment
- Data integrity checks
- Version-specific failure patterns
- Incident ownership assignment
- Time-to-resolution benchmarks
- Post-incident review integration
Module 3. Control Design for AI Systems
Build audit-ready control sets that map directly to real-world incident data and operational constraints.
12 chapters in this module
- Designing detectable AI controls
- Human-in-the-loop thresholds
- Bias detection triggers
- Model drift monitoring
- Input validation rules
- Output consistency checks
- Fallback mechanism design
- Logging requirements for AI decisions
- Explainability integration
- Control testing cadence
- Third-party model oversight
- Documentation templates
Module 4. Policy Versioning and Approval Workflows
Own the end-to-end lifecycle of AI governance policies, from drafting to audit-ready finalization.
12 chapters in this module
- Policy drafting standards
- Internal review cycles
- Change tracking methods
- Stakeholder consultation paths
- Final sign-off authority
- Version control systems
- Rollback protocols
- Integration with change management
- Audit trail maintenance
- Cross-departmental alignment
- Update frequency benchmarks
- Policy sunsetting rules
Module 5. Validation and Audit Preparation
Lead preparation of ISO 42001 audits independently, with validated control mappings and incident tracebacks.
12 chapters in this module
- Internal validation checklists
- Evidence collection workflows
- Incident-to-control traceability
- Sampling strategies for auditors
- Remediation tracking
- Control effectiveness reviews
- Gap analysis methods
- Pre-audit walkthroughs
- Response drafting for findings
- Audit communication protocols
- Corrective action ownership
- Audit follow-up timelines
Module 6. Escalation Path Design
Define and own the routing logic for AI incidents that require governance intervention.
12 chapters in this module
- Trigger conditions for escalation
- Tiered response design
- On-call coordination rules
- Cross-functional handoff protocols
- Urgency vs impact matrix
- Executive notification triggers
- Regulatory reporting thresholds
- External advisor engagement
- Post-mortem coordination
- Knowledge base integration
- Incident communication templates
- Resolution verification steps
Module 7. Integration with IT Service Management
Embed ISO 42001 controls into existing ITIL and incident management workflows.
12 chapters in this module
- ServiceNow integration patterns
- Jira workflow adaptations
- Ticket classification rules
- Automated control checks
- Incident linkage to policies
- Change advisory board alignment
- Problem management integration
- Knowledge management sync
- SLA impact assessments
- Reporting dashboard design
- Cross-tool validation
- Process continuity checks
Module 8. Third-Party and Vendor Oversight
Apply ISO 42001 control expectations to vendor-managed AI systems and integrations.
12 chapters in this module
- Vendor risk assessment
- Contractual control obligations
- Third-party audit rights
- Model validation requirements
- Data handling compliance
- Incident reporting SLAs
- Penetration testing expectations
- Exit strategy clauses
- Performance benchmarking
- Escrow arrangements
- Subprocessor oversight
- Compliance certification tracking
Module 9. AI Risk Assessment Execution
Conduct and lead AI-specific risk assessments that feed directly into incident readiness.
12 chapters in this module
- AI-specific threat modeling
- Impact severity scoring
- Likelihood estimation methods
- Control gap identification
- Stakeholder risk workshops
- Scenario planning for AI failures
- Risk register maintenance
- Dynamic risk recalibration
- Emerging risk monitoring
- AI-specific KPIs
- Threshold alerting
- Risk communication formats
Module 10. Training and Awareness Rollout
Deploy targeted ISO 42001 training that aligns with incident response roles.
12 chapters in this module
- Role-specific training paths
- Awareness campaign design
- Simulation drills
- Feedback collection methods
- Competency assessment
- Refresher cycle planning
- Leadership communication
- Incident team onboarding
- External stakeholder briefing
- Training effectiveness metrics
- Documentation updates
- Version alignment checks
Module 11. Continuous Improvement Loops
Turn incident data into iterative improvements in AI governance controls.
12 chapters in this module
- Post-incident review integration
- Control adjustment workflows
- Feedback routing rules
- Lessons learned repositories
- Trend analysis methods
- Performance benchmarking
- Automation opportunities
- Incident pattern detection
- Corrective action tracking
- Preventive control design
- Cross-functional improvement
- Governance KPI refinement
Module 12. Sustaining Governance Maturity
Maintain ISO 42001 compliance with evolving AI systems and organizational demands.
12 chapters in this module
- Maturity model application
- Internal audit scheduling
- Control refresh cycles
- Leadership reporting design
- Benchmarking against peers
- Technology change impacts
- Regulatory shift monitoring
- Resource planning
- Team capability development
- Succession planning
- External validation strategies
- Public disclosure alignment
How this maps to your situation
- When adopting AI systems with compliance uncertainty
- During audit preparation cycles
- After a major AI incident
- Before launching new AI-powered services
Before vs. after
Before
Reliant on senior teams to approve AI governance decisions, even for routine updates.
After
Owns final sign-off on policy versions, control validations, and escalation logic under ISO 42001.
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 busy practitioners with real-world deliverables in mind.
If nothing changes
Continuing to operate without formal decision authority may result in repeated escalations, diluted ownership, and missed leadership opportunities in the growing field of AI governance.
How this compares to the alternatives
Unlike generic compliance courses, this program is built specifically for incident managers who need to own AI governance decisions , not just support them.
Frequently asked
Who is this course designed for?
Major Incident Managers and senior operations leads in global services firms who are expected to lead AI governance adoption but need formal authority to make binding decisions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an audit?
Yes, the course includes audit-ready templates and validation workflows specifically for ISO 42001.
$199 one-time. Approximately 3 hours per module, designed for busy practitioners with real-world deliverables in mind..
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