A tailored course, built for your situation
Mastering ISO 42001 for Senior Executives in Industrial Services
Build auditable AI governance frameworks that stand up to regulator review and scale with your operations.
$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.
Most executives inherit fragmented AI governance, reactive, inconsistent, and vulnerable to audit findings.
The situation this course is for
Without a structured approach, AI governance becomes a patchwork of departmental workarounds. Regulator-facing reviews expose inconsistencies. M&A due diligence uncovers missing controls. Leadership turnover resets progress. The cost isn't just compliance, it's lost leverage in high-stakes conversations.
Who this is for
Senior executive in industrial or infrastructure services leading scaled operations with cross-functional oversight and exposure to regulatory scrutiny.
Who this is not for
Individuals looking for entry-level compliance training or general AI awareness without implementation depth.
What you walk away with
- Own end-to-end ISO 42001 implementation design with confidence
- Produce regulator-ready documentation sets on demand
- Lead internal audits without external dependency
- Respond to M&A due diligence with complete control mappings
- Deploy repeatable governance templates across acquisitions
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope and Executive Intent
Define organizational boundaries for AI governance aligned with operational reality and leadership priorities.
12 chapters in this module
- What ISO 42001 solves that prior frameworks don't
- Executive intent vs technical scope
- Mapping AI systems in industrial environments
- Identifying high-risk AI use cases
- Regulatory overlap with existing standards
- Internal alignment on governance depth
- Documentation expectations for leadership
- Timeline for initial compliance
- Resource allocation models
- Vendor involvement thresholds
- Stakeholder communication cadence
- First internal review cycle
Module 2. Establishing AI Governance Leadership
Assign clear accountability and decision rights within the governance structure.
12 chapters in this module
- Single point of ownership model
- Cross-functional representation
- Escalation pathways for disputes
- Authority levels for policy updates
- Reporting structure to leadership
- Internal audit interface design
- External regulator liaison role
- Vendor oversight governance
- Incident response coordination
- Training ownership assignment
- Change control integration
- Succession planning for role
Module 3. AI Risk Assessment Methodology
Implement a consistent, repeatable process for identifying and prioritizing AI-related risks.
12 chapters in this module
- Risk taxonomy for industrial AI
- Likelihood scoring framework
- Impact evaluation by business line
- Third-party AI risk factors
- Human oversight thresholds
- Bias detection triggers
- Data quality risk indicators
- Model drift monitoring criteria
- Security vulnerability scoring
- Regulatory exposure matrix
- Risk acceptance documentation
- Risk treatment roadmap
Module 4. AI System Documentation Requirements
Generate complete, living records of AI systems that satisfy auditor and regulator scrutiny.
12 chapters in this module
- System purpose and intended use
- Data sources and lineage tracking
- Model development lifecycle
- Training data specifications
- Algorithm selection rationale
- Validation and testing protocols
- Performance monitoring metrics
- Human-in-the-loop design
- Version control process
- Retirement and decommissioning
- Update and patch management
- Third-party documentation review
Module 5. Transparency and Stakeholder Communication
Design clear communication flows that meet legal and operational expectations.
12 chapters in this module
- Internal stakeholder mapping
- External communication thresholds
- Regulator disclosure requirements
- Customer-facing transparency
- Vendor communication protocols
- Employee training documentation
- Public statement templates
- Incident notification process
- Audit trail availability
- Language for non-technical leaders
- Version-controlled updates
- Central documentation repository
Module 6. Human Oversight of AI Systems
Define when and how humans intervene in AI-driven decisions.
12 chapters in this module
- Critical decision checkpoints
- Override authority assignment
- Review frequency by risk tier
- Escalation triggers for anomalies
- Training for oversight roles
- Documentation of override events
- Auditability of intervention
- Performance feedback loop
- Bias correction protocol
- Emergency shutdown process
- Post-intervention analysis
- Continuous improvement cycle
Module 7. Accuracy, Robustness and Cybersecurity
Ensure AI systems perform reliably under real-world conditions.
12 chapters in this module
- Performance under stress testing
- Adversarial attack resistance
- Input validation protocols
- Model stability criteria
- Fail-safe mechanisms
- Cybersecurity integration
- Data poisoning detection
- Model drift thresholds
- Response to degradation
- Revalidation triggers
- Patch deployment workflow
- Vendor update validation
Module 8. Data and Resource Management
Govern data quality, access and lifecycle in support of AI compliance.
12 chapters in this module
- Data quality assurance process
- Data lineage documentation
- Access control enforcement
- Retention and deletion policy
- Third-party data sourcing
- Data subject rights fulfillment
- Training data bias checks
- Data refresh frequency
- Storage security standards
- Backup and recovery
- Vendor data handling
- Audit log retention
Module 9. Management of AI System Lifecycle
Apply governance across development, deployment, monitoring and retirement.
12 chapters in this module
- Pre-development assessment
- Development phase controls
- Testing validation gates
- Deployment sign-off process
- Monitoring thresholds
- Performance dashboards
- Update approval workflow
- Incident response integration
- Retirement criteria
- Lessons learned capture
- Cross-system consistency
- Technology refresh planning
Module 10. Regulatory Compliance and Audit Preparation
Streamline readiness for internal and external compliance reviews.
12 chapters in this module
- Regulatory mapping exercise
- Control gap analysis
- Evidence collection process
- Internal audit coordination
- External auditor interface
- Document availability standards
- Response timeline expectations
- Deficiency remediation
- Compliance reporting
- Certification roadmap
- Surveillance audit prep
- Post-audit follow-up
Module 11. Integration with Existing Management Systems
Align ISO 42001 with current quality, safety and compliance frameworks.
12 chapters in this module
- Overlap with ISO 9001
- Integration with ISO 45001
- Alignment with ISO 14001
- Common control mapping
- Unified audit scheduling
- Shared documentation systems
- Cross-standard training
- Consolidated reporting
- Single governance dashboard
- Leadership review alignment
- Policy harmonization
- Change control synchronization
Module 12. Continuous Improvement and Scaling
Refine governance practices and extend across new business units.
12 chapters in this module
- Feedback mechanism design
- Performance metric tracking
- Root cause analysis
- Corrective action workflow
- Technology upgrade path
- Acquisition integration
- New market expansion
- Cross-border compliance
- Vendor ecosystem scaling
- Resource model evolution
- Leadership onboarding
- Succession planning
How this maps to your situation
- Leading a $45M+ industrial services company
- Scaling operations across roles and divisions
- Preparing for M&A due diligence
- Responding to regulatory scrutiny
Before vs. after
Before
AI governance is ad hoc, reactive, and inconsistent across teams.
After
You own a documented, repeatable ISO 42001 framework that scales across acquisitions and satisfies regulators.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 8, 10 hours of focused learning, designed to be completed in two-week increments with immediate application to current responsibilities.
If nothing changes
Without structured AI governance, organizations face increased regulatory exposure, failed M&A integrations, and operational inefficiencies that erode competitive advantage.
How this compares to the alternatives
Unlike generic AI ethics courses or high-level overviews, this course delivers exact documentation templates, control mappings, and decision frameworks used in certified ISO 42001 implementations within industrial operations.
Frequently asked
Who is this course designed for?
Senior executives in industrial and infrastructure sectors leading organizations with regulatory exposure and complex operational systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with M&A due diligence?
Yes, each module includes templates and examples used in actual acquisition reviews, enabling faster, cleaner handoffs from legal and compliance teams.
$199 one-time. Approximately 8, 10 hours of focused learning, designed to be completed in two-week increments with immediate application to current responsibilities..
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