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Mandate for ISO 42001 governance decisions without escalation

$199.00
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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

$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.

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)

Module 1. Defining scope under ISO 42001 for engineered systems
Learn how to draw clean boundaries around AI-enabled substation components to isolate compliance scope and reduce audit friction.
12 chapters in this module
  1. What ISO 42001 scope means for infrastructure
  2. Mapping AI control boundaries
  3. Excluding non-applicable clauses
  4. Documenting rationale for exclusions
  5. Stakeholder alignment on scope
  6. Versioning scope decisions
  7. Linking scope to maintenance cycles
  8. Common misalignment patterns
  9. How regulators assess scope validity
  10. Using scope to limit escalation
  11. Template: Scope declaration
  12. Worked example: Substation control system
Module 2. Risk assessment specific to power delivery AI
Conduct targeted risk assessments for AI components in substation automation, aligned to ISO 42001 Annex A controls.
12 chapters in this module
  1. AI risk in high-availability systems
  2. Threat modeling for grid-edge AI
  3. Identifying safety-critical decisions
  4. Scoring impact on uptime
  5. Linking risk to control selection
  6. Avoiding over-engineering
  7. Fast-track assessment patterns
  8. Documenting risk acceptance
  9. Peer validation without delay
  10. Regulator expectation tracking
  11. Template: Risk register
  12. Worked example: Transformer monitoring AI
Module 3. Legal and regulatory mapping for AI in critical infrastructure
Map ISO 42001 requirements to NERC, FERC, and internal compliance mandates relevant to defense-adjacent power systems.
12 chapters in this module
  1. FERC and NERC overlap points
  2. Federal acquisition rules for AI
  3. the firm internal compliance tiers
  4. Classifying AI system criticality
  5. Documentation depth by tier
  6. Audit trail expectations
  7. Cross-reference with NIST CSF
  8. Handling classified data flows
  9. Third-party attestation paths
  10. When to escalate legal questions
  11. Template: Compliance crosswalk
  12. Worked example: SCADA AI integration
Module 4. AI system lifecycle governance
Apply ISO 42001 controls across AI model deployment, monitoring, and decommissioning in substation environments.
12 chapters in this module
  1. Design review checklists
  2. Training data provenance
  3. Model validation frequency
  4. Monitoring for concept drift
  5. Fail-safe triggers
  6. Version rollback procedures
  7. Decommissioning documentation
  8. Handover between teams
  9. Change control integration
  10. Emergency override logging
  11. Template: Lifecycle plan
  12. Worked example: Predictive maintenance model
Module 5. Data governance for AI in operational technology
Ensure data quality, access control, and lineage tracking for AI systems embedded in substation control networks.
12 chapters in this module
  1. OT vs IT data handling
  2. Data quality for AI inference
  3. Access control tiers
  4. Encryption in transit and at rest
  5. Anomaly detection thresholds
  6. Data retention schedules
  7. Lineage tracking methods
  8. Vendor data access policies
  9. Audit logging standards
  10. Incident response triggers
  11. Template: Data governance policy
  12. Worked example: Grid stability AI
Module 6. Human oversight mechanisms for AI decisions
Design human-in-the-loop protocols that satisfy ISO 42001 while maintaining operational tempo.
12 chapters in this module
  1. Defining critical decisions
  2. Alert triage levels
  3. Escalation thresholds
  4. Shift handover protocols
  5. Training for operator intervention
  6. False positive reduction
  7. Response time benchmarks
  8. Documentation of override actions
  9. Simulation for readiness
  10. Audit trail completeness
  11. Template: Oversight plan
  12. Worked example: Load balancing AI
Module 7. Accuracy, robustness, and reliability controls
Implement technical safeguards that demonstrate compliance with ISO 42001 for AI models in high-availability power systems.
12 chapters in this module
  1. Defining performance thresholds
  2. Stress testing under grid stress
  3. Model stability monitoring
  4. Redundancy strategies
  5. Input sanitization rules
  6. Fail-open vs fail-closed
  7. Latency tolerance testing
  8. Environmental resilience
  9. Cyber-physical attack resistance
  10. Benchmarking against peers
  11. Template: Reliability report
  12. Worked example: Voltage regulation AI
Module 8. Transparency and documentation standards
Produce clear, regulator-ready documentation that explains AI decision logic without exposing IP.
12 chapters in this module
  1. Model card creation
  2. System description templates
  3. Explaining without over-disclosing
  4. Level-of-detail by audience
  5. Versioning documentation
  6. Internal review workflows
  7. External auditor handouts
  8. Redacting sensitive details
  9. Maintaining documentation currency
  10. Linking docs to controls
  11. Template: System narrative
  12. Worked example: Outage prediction AI
Module 9. Vendor and third-party management under ISO 42001
Assess and monitor third-party AI providers with documented due diligence aligned to ISO 42001 criteria.
12 chapters in this module
  1. Vendor pre-qualification
  2. Contractual compliance clauses
  3. Right-to-audit terms
  4. Performance monitoring
  5. Incident response coordination
  6. Subcontractor oversight
  7. Security certification checks
  8. Financial stability review
  9. Exit strategy planning
  10. Single-source risk mitigation
  11. Template: Vendor assessment
  12. Worked example: AI monitoring SaaS
Module 10. Incident response for AI-enabled systems
Respond to AI failures in substation environments with protocols that preserve safety and compliance.
12 chapters in this module
  1. Defining AI incidents
  2. Immediate response actions
  3. Root cause analysis
  4. Regulatory reporting triggers
  5. Internal communication plan
  6. Customer notification rules
  7. Corrective action tracking
  8. Lessons learned integration
  9. Re-validation after fixes
  10. Legal counsel engagement
  11. Template: Incident log
  12. Worked example: False tripping event
Module 11. Internal audit and continuous improvement
Run ISO 42001-aligned internal audits that prevent external findings and strengthen governance credibility.
12 chapters in this module
  1. Annual audit planning
  2. Checklist development
  3. Control testing methods
  4. Finding severity rating
  5. Remediation tracking
  6. Management review inputs
  7. Trend analysis
  8. Benchmarking maturity
  9. Audit report structure
  10. Follow-up frequency
  11. Template: Audit report
  12. Worked example: Q3 internal cycle
Module 12. Certification and external audit readiness
Prepare for ISO 42001 third-party audits with confidence, using battle-tested documentation and evidence bundles.
12 chapters in this module
  1. Choosing a certification body
  2. Stage 1 audit prep
  3. Evidence pack assembly
  4. Interview preparation
  5. Common finding patterns
  6. Non-conformance response
  7. Surveillance audit rhythm
  8. Scope change procedures
  9. Maintaining certified status
  10. Cost-benefit of recertification
  11. Template: Audit evidence pack
  12. 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

Before
AI governance decisions require multiple reviews and escalate to senior teams, slowing deployment and diffusing ownership.
After
You make ISO 42001-aligned decisions independently, with documentation and logic that prevent escalation and build organizational trust.

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

Who is this course for?
Senior engineers and technical leads in regulated environments who need to own AI governance decisions under ISO 42001 without escalation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-AI systems?
While focused on AI, the governance patterns apply to any ISO 42001-covered system, especially where safety and compliance intersect.
$199 one-time. Approximately 3 hours per module, designed for practitioners to apply concepts directly to current 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