A tailored course, built for your situation
Mandate for ISO 42001 governance decisions without escalation
Become the internal authority on AI management system decisions with verifiable command of ISO 42001
Who this is for
Senior technical leader in a regulated engineering environment, already delivering mission-critical infrastructure work, now stepping into broader governance ownership
Who this is not for
Junior engineers, non-technical compliance staff, or practitioners outside AI-enabled systems governance
What you walk away with
- Own ISO 42001 control decisions without escalation to senior reviewers
- Produce audit-ready documentation that stands up to regulator-facing review
- Lead vendor selection and onboarding under ISO 42001 with internal sign-off authority
- Preempt peer team escalations with documented interpretation patterns
- Ship compliant AI management updates on a faster cycle than organizational defaults
The 12 modules (with all 144 chapters)
- What ISO 42001 scope means for infrastructure
- Mapping AI control boundaries
- Excluding non-applicable clauses
- Documenting rationale for exclusions
- Stakeholder alignment on scope
- Versioning scope decisions
- Linking scope to maintenance cycles
- Common misalignment patterns
- How regulators assess scope validity
- Using scope to limit escalation
- Template: Scope declaration
- Worked example: Substation control system
- AI risk in high-availability systems
- Threat modeling for grid-edge AI
- Identifying safety-critical decisions
- Scoring impact on uptime
- Linking risk to control selection
- Avoiding over-engineering
- Fast-track assessment patterns
- Documenting risk acceptance
- Peer validation without delay
- Regulator expectation tracking
- Template: Risk register
- Worked example: Transformer monitoring AI
- FERC and NERC overlap points
- Federal acquisition rules for AI
- the firm internal compliance tiers
- Classifying AI system criticality
- Documentation depth by tier
- Audit trail expectations
- Cross-reference with NIST CSF
- Handling classified data flows
- Third-party attestation paths
- When to escalate legal questions
- Template: Compliance crosswalk
- Worked example: SCADA AI integration
- Design review checklists
- Training data provenance
- Model validation frequency
- Monitoring for concept drift
- Fail-safe triggers
- Version rollback procedures
- Decommissioning documentation
- Handover between teams
- Change control integration
- Emergency override logging
- Template: Lifecycle plan
- Worked example: Predictive maintenance model
- OT vs IT data handling
- Data quality for AI inference
- Access control tiers
- Encryption in transit and at rest
- Anomaly detection thresholds
- Data retention schedules
- Lineage tracking methods
- Vendor data access policies
- Audit logging standards
- Incident response triggers
- Template: Data governance policy
- Worked example: Grid stability AI
- Defining critical decisions
- Alert triage levels
- Escalation thresholds
- Shift handover protocols
- Training for operator intervention
- False positive reduction
- Response time benchmarks
- Documentation of override actions
- Simulation for readiness
- Audit trail completeness
- Template: Oversight plan
- Worked example: Load balancing AI
- Defining performance thresholds
- Stress testing under grid stress
- Model stability monitoring
- Redundancy strategies
- Input sanitization rules
- Fail-open vs fail-closed
- Latency tolerance testing
- Environmental resilience
- Cyber-physical attack resistance
- Benchmarking against peers
- Template: Reliability report
- Worked example: Voltage regulation AI
- Model card creation
- System description templates
- Explaining without over-disclosing
- Level-of-detail by audience
- Versioning documentation
- Internal review workflows
- External auditor handouts
- Redacting sensitive details
- Maintaining documentation currency
- Linking docs to controls
- Template: System narrative
- Worked example: Outage prediction AI
- Vendor pre-qualification
- Contractual compliance clauses
- Right-to-audit terms
- Performance monitoring
- Incident response coordination
- Subcontractor oversight
- Security certification checks
- Financial stability review
- Exit strategy planning
- Single-source risk mitigation
- Template: Vendor assessment
- Worked example: AI monitoring SaaS
- Defining AI incidents
- Immediate response actions
- Root cause analysis
- Regulatory reporting triggers
- Internal communication plan
- Customer notification rules
- Corrective action tracking
- Lessons learned integration
- Re-validation after fixes
- Legal counsel engagement
- Template: Incident log
- Worked example: False tripping event
- Annual audit planning
- Checklist development
- Control testing methods
- Finding severity rating
- Remediation tracking
- Management review inputs
- Trend analysis
- Benchmarking maturity
- Audit report structure
- Follow-up frequency
- Template: Audit report
- Worked example: Q3 internal cycle
- Choosing a certification body
- Stage 1 audit prep
- Evidence pack assembly
- Interview preparation
- Common finding patterns
- Non-conformance response
- Surveillance audit rhythm
- Scope change procedures
- Maintaining certified status
- Cost-benefit of recertification
- Template: Audit evidence pack
- Worked example: First-time certification
How this maps to your situation
- When starting a new AI integration project
- Before vendor onboarding completes
- During annual compliance review cycle
- After an AI system incident
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 practitioners to apply concepts directly to current projects.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to engineers in regulated environments, focusing on real-world ISO 42001 application in AI-enabled critical infrastructure, with templates and examples relevant to defense-adjacent power systems.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.