A tailored course, built for your situation
Mastering ISO 42001 for C-Level Sustainability and Compliance Leaders
Build trusted, auditable AI governance systems that align with global ESG and regulatory expectations
$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.
Even strong AI governance programs stall when leadership lacks a common framework for accountability
The situation this course is for
Organizations are investing heavily in AI, but without ISO 42001-grade documentation and control mapping, initiatives fail audits, lose investor confidence, or get blocked at the compliance gate. The gap isn't technical, it's authority without artefacts.
Who this is for
C-level leader in a regulated or sustainability-focused enterprise with direct accountability for compliance, ESG, or technology governance
Who this is not for
Individual contributors without decision rights, vendors selling AI tools, or teams focused only on model performance
What you walk away with
- Own the full ISO 42001 Statement of Applicability (SoA) with defensible exclusions
- Produce regulator-ready documentation for AI governance and ESG reporting
- Lead cross-functional escalations from peer teams with structured decision records
- Deliver board-prep papers that reflect operational control, not just intent
- Gain recognition as the final internal checkpoint on AI compliance sign-off
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 and AI Governance
Understand the structure, intent, and compliance triggers of ISO 42001 with focus on real-world implementation in regulated environments.
12 chapters in this module
- What ISO 42001 replaces
- AI risk categories defined
- Control objectives vs operational reality
- Mapping to NIST AI RMF
- First-party vs third-party AI use
- AI lifecycle stages
- Governance vs technical controls
- Documentation burden analysis
- Exemptions and justifications
- Audit trail requirements
- Stakeholder escalation paths
- Integration with ESG reporting
Module 2. Establishing Governance Structure
Define roles, responsibilities, and decision rights for AI governance aligned with ISO 42001 requirements.
12 chapters in this module
- Appointing the AI governance lead
- Cross-functional team structure
- Escalation protocols
- Meeting cadence design
- Decision logging standard
- Ownership of model inventory
- Vendor oversight delegation
- HR policy integration
- Training requirements
- Incident response coordination
- Legal and compliance interface
- External auditor prep workflow
Module 3. AI Risk Assessment Framework
Build a repeatable method for identifying, scoring, and documenting AI risks across the organization.
12 chapters in this module
- Risk taxonomy alignment
- Likelihood scoring model
- Impact categories
- External harm considerations
- Bias evaluation criteria
- Transparency thresholds
- Human oversight levels
- Model drift detection
- Data lineage requirements
- Third-party model vetting
- Risk register structure
- Review cycle schedule
Module 4. Statement of Applicability (SoA)
Develop a custom SoA that justifies control inclusion, exclusion, and implementation level.
12 chapters in this module
- Control-by-control analysis
- Exclusion justification writing
- Implementation depth levels
- Evidence collection plan
- SoA version control
- Stakeholder review process
- Regulator Q&A prep
- Control ownership assignment
- Maturity scoring baseline
- Gap remediation roadmap
- Internal audit coordination
- SoA maintenance cycle
Module 5. AI Policy Development
Draft enforceable, organization-wide AI policies that satisfy ISO 42001 and internal compliance needs.
12 chapters in this module
- Policy vs procedure distinction
- Enforceability criteria
- Acceptable use definitions
- Model approval workflow
- Monitoring requirements
- Retraining triggers
- Sunset clauses
- Policy exception process
- Legal review integration
- Employee attestation design
- Policy versioning
- Distribution strategy
Module 6. Vendor and Third-Party Oversight
Ensure third-party AI systems comply with your organization's ISO 42001 standards.
12 chapters in this module
- Vendor risk classification
- Due diligence checklist
- Contractual controls
- Audit rights definition
- Model card review
- Performance benchmarking
- Data handling verification
- Incident notification SLA
- Change management process
- Exit strategy planning
- Ongoing monitoring
- Relationship termination protocol
Module 7. Human Oversight and Accountability
Define human roles in AI decision chains to meet ethical and compliance standards.
12 chapters in this module
- Human-in-the-loop definition
- Oversight level mapping
- Final decision authority
- Escalation threshold setting
- Override logging
- Training needs analysis
- Accountability matrix
- Bias detection triggers
- Adverse outcome review
- Transparency to end users
- Feedback mechanism design
- Audit trail completeness
Module 8. Transparency and Explainability
Implement practices that make AI decisions interpretable to stakeholders and auditors.
12 chapters in this module
- Explainability vs interpretability
- Stakeholder communication plan
- Model documentation standard
- User-facing disclosures
- Regulator briefing pack
- Right to explanation
- System limitations disclosure
- Confidence scoring
- Output validation methods
- Error explanation workflow
- Bias mitigation reporting
- Public trust building
Module 9. Data Governance for AI
Ensure AI systems use high-quality, ethically sourced data.
12 chapters in this module
- Data quality metrics
- Bias in data detection
- Anonymization standards
- Data lineage documentation
- Consent verification
- Retention policy alignment
- Data provenance tracking
- Synthetic data use
- Data refresh process
- Labeling quality control
- Data drift monitoring
- Audit-ready data logs
Module 10. Monitoring and Performance Evaluation
Establish continuous monitoring for deployed AI systems.
12 chapters in this module
- Performance KPIs
- Drift detection thresholds
- Accuracy decay alerts
- Bias shift monitoring
- User feedback integration
- Model retraining triggers
- System downtime impact
- Output consistency checks
- Error rate benchmarking
- Human review sampling
- Audit trail analysis
- Performance reporting cycle
Module 11. Incident Response and Remediation
Prepare for and respond to AI-related incidents effectively.
12 chapters in this module
- Incident definition criteria
- Classification levels
- Response team activation
- Legal and regulatory reporting
- Public relations protocol
- System rollback process
- Root cause analysis
- Remediation tracking
- Stakeholder notification
- Regulator engagement
- Post-mortem documentation
- Prevention updates
Module 12. Audit and Certification Readiness
Prepare for external audit and achieve ISO 42001 certification.
12 chapters in this module
- Internal audit prep
- Evidence collection plan
- Document organization
- Interview preparation
- Gap remediation tracking
- Corrective action response
- Management review meeting
- Lead auditor liaison
- Certification body selection
- Surveillance audit prep
- Non-conformance handling
- Continuous improvement cycle
How this maps to your situation
- Preparing for AI regulatory scrutiny
- Leading post-M&A compliance integration
- Responding to regulator requests
- Presenting to senior leadership
Before vs. after
Before
AI governance decisions are reactive, scattered, and vulnerable to external challenge
After
You lead with documented frameworks, trusted artefacts, and recognized authority across escalations
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 completion over 12 weeks with leadership pacing
If nothing changes
Without structured governance, AI initiatives face compliance blocks, reputational damage, or project cancellation , even when technically sound
How this compares to the alternatives
Unlike generic governance courses, this program delivers exact artefacts used in ISO 42001 certification , tailored for C-level leaders who need to act, not just understand
Frequently asked
Who is this course designed for?
C-level leaders accountable for AI governance, compliance, or ESG in regulated or sustainability-driven organizations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course include templates?
Yes , every module includes downloadable templates and real-world examples for immediate use.
$199 one-time. Approximately 3 hours per module, designed for completion over 12 weeks with leadership 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