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Reference of choice on cross-functional ISO 42001 calls

$199.00
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A tailored course, built for your situation

Reference of choice on cross-functional ISO 42001 calls

Become the practitioner others invite when AI governance decisions are forming

$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 practitioner in data or compliance governance operating at the intersection of standards implementation and cross-functional influence

Who this is not for

Entry-level analysts, auditors focused only on checklists, or consultants without hands-on implementation experience

What you walk away with

  • Recognized internally as the first call on AI governance architecture decisions
  • Equipped with ISO 42001 implementation patterns that survive peer review
  • Built reusable templates for AI management system documentation and control mapping
  • Positioned to lead cross-functional workshops on AI compliance readiness
  • Trusted with early involvement in vendor assessments involving AI systems

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in AI governance
Establish the core principles and scope of ISO 42001 as applied to AI management systems in regulated environments.
12 chapters in this module
  1. What ISO 42001 solves for AI systems
  2. AI governance vs traditional data governance
  3. Scope definition in practice
  4. Mapping organizational roles
  5. Initial risk profiling
  6. Linking to NIST AI standards
  7. Integration with existing frameworks
  8. Early stakeholder alignment
  9. Documentation hierarchy
  10. Control selection criteria
  11. Version control strategy
  12. Baseline assessment walkthrough
Module 2. AI governance leadership roles
Define clear responsibilities for AI oversight and decision-making aligned with ISO 42001 mandates.
12 chapters in this module
  1. AI governance committee design
  2. Executive sponsorship models
  3. Designated AI roles
  4. Accountability mapping
  5. Escalation paths
  6. Cross-functional collaboration
  7. Training requirements
  8. Performance indicators
  9. Change management
  10. Third-party oversight
  11. Audit readiness
  12. Succession planning
Module 3. Risk assessment for AI systems
Apply ISO 42001 risk methodology to identify and prioritize AI-specific risks across the lifecycle.
12 chapters in this module
  1. AI-specific risk taxonomy
  2. Hazard identification
  3. Bias detection methods
  4. Transparency thresholds
  5. Human oversight levels
  6. Failure impact scoring
  7. Risk register structure
  8. Scenario modeling
  9. Third-party risk
  10. Model drift monitoring
  11. Incident classification
  12. Response protocols
Module 4. Control mapping for AI workflows
Translate ISO 42001 controls into specific safeguards for data pipelines, model development, and deployment.
12 chapters in this module
  1. Control applicability matrix
  2. Data quality controls
  3. Model validation steps
  4. Versioning policies
  5. Access governance
  6. Explainability requirements
  7. Monitoring dashboards
  8. Incident logging
  9. External audit trails
  10. Retraining triggers
  11. Decommissioning process
  12. Control ownership
Module 5. Documentation of AI management systems
Build a complete, compliant, and auditable AI management system document set under ISO 42001.
12 chapters in this module
  1. SoA structure
  2. Policy drafting
  3. Control narratives
  4. Implementation evidence
  5. Version control
  6. Approval workflows
  7. Storage architecture
  8. Access controls
  9. Review cycles
  10. Cross-references
  11. Indexing strategy
  12. External readiness
Module 6. Internal audit preparation
Prepare for ISO 42001 audits with confidence through structured evidence collection and walkthrough readiness.
12 chapters in this module
  1. Audit timeline planning
  2. Evidence inventory
  3. Interview prep
  4. Control walkthroughs
  5. Gap analysis
  6. Remediation tracking
  7. Findings response
  8. Management review
  9. Certification prep
  10. Post-audit actions
  11. Continuous monitoring
  12. Audit communication
Module 7. Continuous improvement mechanisms
Embed feedback loops and performance tracking to evolve the AI management system over time.
12 chapters in this module
  1. KPI selection
  2. Performance dashboards
  3. Incident reviews
  4. User feedback
  5. Model performance
  6. Control effectiveness
  7. Review meeting cadence
  8. Improvement backlog
  9. Change approval
  10. Lessons learned
  11. Benchmarking
  12. Maturity tracking
Module 8. Third-party AI vendor governance
Extend ISO 42001 principles to vendor selection, due diligence, and ongoing oversight of AI providers.
12 chapters in this module
  1. Vendor risk tiers
  2. RFP clauses
  3. Due diligence checklist
  4. Contract language
  5. Onboarding process
  6. Ongoing monitoring
  7. Performance reviews
  8. Exit planning
  9. Subcontractor rules
  10. Audit rights
  11. Incident response
  12. Compliance verification
Module 9. AI incident response planning
Develop a clear, actionable plan for responding to AI system failures or ethical concerns.
12 chapters in this module
  1. Incident classification
  2. Response team roles
  3. Containment steps
  4. Stakeholder notification
  5. Regulatory reporting
  6. Root cause analysis
  7. Remediation tracking
  8. Public statement
  9. Legal coordination
  10. System rollback
  11. Review and update
  12. Post-mortem
Module 10. Cross-functional alignment
Facilitate coordination between data, legal, security, and business teams on AI governance outcomes.
12 chapters in this module
  1. Stakeholder mapping
  2. Joint workshops
  3. Feedback mechanisms
  4. Decision rights
  5. Conflict resolution
  6. Shared documentation
  7. Communication plan
  8. Change management
  9. Training delivery
  10. Success metrics
  11. Escalation paths
  12. Governance board
Module 11. Executive communication
Frame AI governance updates and risks for leadership with clarity and strategic context.
12 chapters in this module
  1. Board-level summary
  2. Risk reporting
  3. Budget justification
  4. Initiative updates
  5. Incident briefings
  6. Compliance status
  7. Maturity assessment
  8. Benchmarking data
  9. Strategic alignment
  10. Resource requests
  11. Executive dashboards
  12. Narrative framing
Module 12. Certification and external audit
Navigate the final stages of ISO 42001 certification with confidence and precision.
12 chapters in this module
  1. Auditor selection
  2. Pre-audit checklist
  3. Document submission
  4. On-site preparation
  5. Interview readiness
  6. Evidence presentation
  7. Finding response
  8. Certification decision
  9. Public announcement
  10. Surveillance audits
  11. Re-certification
  12. Continuous compliance

How this maps to your situation

  • When forming an AI governance working group
  • Before vendor RFPs for AI tools go out
  • During internal audit preparation
  • When leadership requests AI risk posture update

Before vs. after

Before
Inputs routed through multiple teams, decisions made without your input
After
Escalations and design sessions come to you first, your documentation becomes the standard

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, with flexible pacing and self-directed application.

If nothing changes
Remaining invisible in AI governance conversations means missing influence on systems that directly impact data integrity and compliance outcomes.

How this compares to the alternatives

Generic AI ethics courses offer broad principles. This course delivers ISO 42001-specific implementation patterns that align with real audit expectations and cross-functional decision-making.

Frequently asked

Will this help me lead ISO 42001 certification for AI systems?
Yes, every module builds toward a complete, auditable AI management system aligned with ISO 42001 requirements.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior ISO experience required?
No, this course assumes foundational data governance knowledge and builds ISO 42001 fluency from the ground up.
$199 one-time. Approximately 3 hours per module, with flexible pacing and self-directed application..

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
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