A tailored course, built for your situation
Direct Sign Off Authority on ISO 42001 Framework Decisions
Become the final decision maker on AI governance structure without escalation
$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.
Stalled AI governance rollouts due to unclear ownership and layered approvals
The situation this course is for
Engineers with deep domain expertise are still forced to route basic framework decisions through compliance or central AI governance teams, creating delays and weakening accountability.
Who this is for
Senior engineering leader in regulated infrastructure environments who needs to own AI governance decisions but currently lacks documented authority or structured justification
Who this is not for
Individual contributors without decision scope, compliance auditors, or junior staff seeking awareness-level training
What you walk away with
- Own final selection of ISO 42001 controls specific to substation automation systems
- Approve AI conformity assessments for third-party vendors without senior review
- Define audit boundaries for AI-augmented engineering workflows independently
- Document decision rationale that survives leadership transitions
- Escalate only exceptions , treat standard updates as routine
The 12 modules (with all 144 chapters)
Module 1. Mapping Substation Engineering Workflows to ISO 42001 Clauses
Align existing engineering processes with ISO 42001 requirements using system-specific examples from power distribution and automation environments.
12 chapters in this module
- Identifying AI touchpoints in relay settings
- Linking SCADA updates to transparency controls
- Mapping change management to accountability clauses
- Classifying vendor AI tools by impact level
- Integrating NERC CIP with AI governance
- Documenting human oversight points
- Aligning maintenance cycles with review clauses
- Tracking AI model drift in protection systems
- Defining scope boundaries for audits
- Excluding non-AI automation from scope
- Using engineering logs as evidence
- Versioning control for AI configurations
Module 2. Establishing Decision Rights Within Engineering Teams
Define which roles own which governance decisions, with templates for formalizing authority in hybrid oversight models.
12 chapters in this module
- Distinguishing engineering lead from compliance lead
- Creating decision matrices for AI changes
- Documenting sign off authority in charters
- Setting thresholds for automatic approval
- Designing escalation paths for exceptions
- Embedding authority in project plans
- Aligning with functional management
- Using RACI to clarify ownership
- Training teams on decision scope
- Auditing decision consistency
- Updating delegation during reorgs
- Maintaining continuity across turnover
Module 3. Building Justification Templates for Control Selection
Develop reusable, source-backed rationales for selecting or tailoring ISO 42001 controls in safety-critical environments.
12 chapters in this module
- Citing NIST frameworks in rationale
- Referencing IEEE standards for safety
- Linking to existing risk assessments
- Using incident history to justify controls
- Incorporating vendor audit reports
- Mapping to industry benchmarks
- Aligning with corporate risk appetite
- Demonstrating proportionality
- Using engineering judgment as evidence
- Including peer review notes
- Versioning justification documents
- Archiving rationale for auditors
Module 4. Designing Audit Boundaries for Complex Systems
Define what’s in and out of scope for audits without overburdening teams or creating blind spots in AI-integrated systems.
12 chapters in this module
- Isolating AI components in diagrams
- Defining system interfaces clearly
- Excluding legacy non-AI systems
- Including data pipelines in scope
- Documenting assumptions for reviewers
- Using boundary diagrams in attestations
- Aligning with SOC 2 boundaries
- Handling shared infrastructure
- Mapping cloud-hosted AI tools
- Specifying monitoring coverage
- Updating boundaries after changes
- Validating boundary completeness
Module 5. Creating Vendor Conformity Assessment Checklists
Build standardized, repeatable evaluations for third-party AI tools used in substation operations and design.
12 chapters in this module
- Scoring vendor documentation completeness
- Verifying model transparency claims
- Testing explainability features
- Assessing update frequency risks
- Reviewing training data provenance
- Evaluating fallback mechanisms
- Checking for backdoor detection
- Validating cyber resilience
- Rating human override capability
- Documenting assessment outcomes
- Setting reevaluation intervals
- Sharing results with procurement
Module 6. Documenting AI Oversight in Engineering Logs
Integrate AI governance tracking into existing engineering documentation practices without adding overhead.
12 chapters in this module
- Adding AI tags to change logs
- Linking approvals to configuration items
- Recording model version updates
- Noting human review checkpoints
- Timestamping override actions
- Logging training data changes
- Capturing performance thresholds
- Flagging drift detection events
- Indexing logs for audit access
- Automating log summaries
- Securing log access controls
- Maintaining log retention
Module 7. Standardizing Framework Tailoring Requests
Develop consistent, defensible approaches to modifying ISO 42001 controls for engineering-specific needs.
12 chapters in this module
- Identifying redundant controls
- Justifying omissions with evidence
- Proposing alternative controls
- Aligning tailoring with risk scores
- Obtaining peer validation
- Documenting tailoring decisions
- Updating implementation guides
- Training teams on exceptions
- Reviewing tailoring annually
- Auditing tailoring consistency
- Updating tailoring after incidents
- Sharing tailoring patterns across teams
Module 8. Preparing Internal Audit Responses
Anticipate and address auditor questions with engineered evidence and pre-vetted documentation sets.
12 chapters in this module
- Predicting common auditor questions
- Organizing evidence by control
- Using diagrams to clarify boundaries
- Linking logs to compliance claims
- Demonstrating human oversight
- Showing model performance history
- Providing vendor assessment records
- Including training materials
- Validating evidence completeness
- Running internal mock audits
- Assigning response ownership
- Tracking auditor feedback
Module 9. Leading Cross Functional Alignment
Drive consensus on AI governance practices without ceding decision authority to non-technical teams.
12 chapters in this module
- Setting meeting cadence for updates
- Sharing decision rationales proactively
- Using common glossary terms
- Inviting targeted feedback
- Documenting alignment status
- Resolving conflicting priorities
- Escalating only true exceptions
- Maintaining decision registry
- Publishing governance updates
- Onboarding new team members
- Updating stakeholders post-audit
- Measuring alignment efficiency
Module 10. Maintaining Decision Authority Through Leadership Changes
Ensure your governance ownership persists even when executives or managers shift roles.
12 chapters in this module
- Documenting authority in charters
- Publishing governance scope statements
- Archiving sign off records
- Training backups proactively
- Updating org charts with roles
- Linking to onboarding materials
- Sharing with audit committees
- Referencing in performance goals
- Reaffirming authority annually
- Updating after mergers
- Preserving decisions in turnover
- Indexing documents for access
Module 11. Scaling Governance Across Substation Projects
Reuse decisions, templates, and evidence structures across multiple engineering initiatives.
12 chapters in this module
- Creating reusable control mappings
- Templating vendor assessments
- Standardizing log formats
- Sharing approved rationale
- Automating evidence collection
- Versioning governance assets
- Indexing past decisions
- Creating searchable repositories
- Applying lessons across sites
- Updating templates centrally
- Training new teams efficiently
- Measuring reuse adoption
Module 12. Evolving Governance with Emerging Threats
Update your framework ownership to address new risks without losing momentum or control.
12 chapters in this module
- Monitoring AI incident trends
- Updating control thresholds
- Revising vendor requirements
- Adjusting audit frequency
- Incorporating new standards
- Updating training content
- Revising tailoring logic
- Expanding oversight scope
- Engaging peer networks
- Benchmarking against leaders
- Documenting evolution path
- Maintaining governance continuity
How this maps to your situation
- After inheriting overlapping governance roles
- Before first ISO 42001 audit cycle
- When onboarding new AI vendors
- During leadership transition in engineering
Before vs. after
Before
Framework decisions require consensus across teams, creating delays and diluted ownership.
After
You make final calls on ISO 42001 control application, vendor conformity, and audit scope , with documented justification that stands up to scrutiny.
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 6 hours of focused work over 3 weeks, with flexible pacing.
If nothing changes
Without clear ownership, engineering teams default to slow, centralized governance models that delay AI adoption and weaken accountability in safety-critical systems.
How this compares to the alternatives
Unlike generic ISO 42001 overviews, this course focuses on actual engineering decision rights , teaching not just what the standard says, but how to own its application in complex technical environments.
Frequently asked
Will this course help me lead ISO 42001 implementation in my team?
Yes , specifically by giving you the tools to make final decisions on control selection, vendor assessment, and audit scope without requiring approval from compliance or central governance teams.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if my organization hasn't adopted ISO 42001 yet?
Yes , especially if you're expected to lead or influence the rollout. The course prepares you to own key decisions from day one.
$199 one-time. Approximately 6 hours of focused work over 3 weeks, with flexible pacing..
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