A tailored course, built for your situation
Direct Escalations from Senior Sponsors on ISO 42001 Reviews
Become the confirmed point of contact for high-stakes AI governance decisions
$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 consulting or systems integration, responsible for delivering compliant, auditable AI governance outcomes under tight oversight
Who this is not for
Entry-level practitioners, auditors focused on certification bodies, or engineers working outside regulated AI deployment cycles
What you walk away with
- Own the end-to-end ISO 42001 review cycle with documented control ownership
- Receive direct escalations from senior sponsors on regulator-facing AI governance work
- Produce statements of applicability that withstand cross-functional scrutiny
- Lead M&A integration assessments with pre-built templates and documented rationale
- Become the reference practitioner for peer teams on AI management system scope
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Regulated Environments
Establish core principles of AI governance as defined in ISO 42001, with emphasis on control ownership, risk context, and alignment to client regulatory expectations in federal and commercial sectors.
12 chapters in this module
- Defining AI system boundaries
- Mapping organizational roles
- Control ownership principles
- Risk context setup
- Documentation standards
- Governance integration
- Audit readiness criteria
- Stakeholder alignment
- Version control methods
- Change approval workflows
- Evidence collection
- Compliance thresholds
Module 2. Scoping AI Management Systems
Learn how to define and defend the scope of an AI management system under ISO 42001, including exclusion justification and boundary documentation.
12 chapters in this module
- System boundary identification
- Exclusion rationale drafting
- Scope statement templates
- Peer review setup
- Client sign-off process
- Version control for scope
- Integration with legacy systems
- Audit trail preparation
- Regulatory alignment
- Stakeholder input tracking
- Change logging
- Final scope packaging
Module 3. Leadership Commitment Documentation
Capture and formalize leadership accountability for AI governance, including policy attestation and resource allocation records.
12 chapters in this module
- Policy attestation setup
- Resource allocation tracking
- Leadership endorsement
- Accountability frameworks
- Governance council formation
- Decision logging
- Policy review cycles
- Escalation paths
- Sign-off workflows
- Audit evidence packaging
- Versioned policy archives
- Cross-team alignment
Module 4. Risk Assessment for AI Systems
Apply structured risk assessment techniques specific to AI systems, including bias, explainability, and data drift identification.
12 chapters in this module
- Risk categorization
- Bias detection methods
- Explainability thresholds
- Data drift monitoring
- Impact scoring
- Likelihood assessment
- Risk register setup
- Mitigation tracking
- Third-party risk integration
- Client-specific risk factors
- Audit trail creation
- Risk review cadence
Module 5. Control Selection and Mapping
Map ISO 42001 controls to specific AI system components and justify omissions based on technical and operational context.
12 chapters in this module
- Control relevance filtering
- Technical applicability
- Operational exceptions
- Control mapping templates
- Justification documentation
- Peer review process
- Client feedback integration
- Version control for mappings
- Audit readiness
- Cross-functional alignment
- Gap analysis
- Remediation planning
Module 6. Statement of Applicability Production
Build a defensible SoA with annotated reasoning, exception handling, and cross-referenced evidence for each control.
12 chapters in this module
- SoA structure setup
- Control inclusion rationale
- Exception documentation
- Evidence linking
- Cross-referencing methods
- Version control
- Client review prep
- Audit trail generation
- Peer validation
- Final approval workflow
- Distribution protocols
- Update tracking
Module 7. Internal Audit Preparation
Prepare for internal audits with pre-audit checklists, evidence bundles, and role-based readiness assessments.
12 chapters in this module
- Audit checklist creation
- Evidence bundling
- Role readiness checks
- Timeline planning
- Gap identification
- Remediation tracking
- Stakeholder coordination
- Review meeting prep
- Audit log setup
- Post-audit follow-up
- Corrective action logging
- Report finalization
Module 8. External Audit Engagement
Lead external audit interactions with confidence, including document submission, response drafting, and on-site coordination.
12 chapters in this module
- Auditor communication
- Document submission
- Response drafting
- On-site coordination
- Escalation protocols
- Evidence retrieval
- Finding categorization
- Root cause analysis
- Remediation planning
- Timeline management
- Client update process
- Audit closure
Module 9. AI System Monitoring and Measurement
Implement continuous monitoring for AI systems, including performance tracking, drift detection, and compliance logging.
12 chapters in this module
- Performance metrics setup
- Drift detection
- Compliance logging
- Alert threshold definition
- Dashboard creation
- Review cycle setup
- Stakeholder reporting
- Incident logging
- Root cause workflows
- Remediation tracking
- Version control
- Audit trail maintenance
Module 10. M&A Integration Assessments
Lead AI governance assessments during mergers and acquisitions, ensuring continuity of control and documented transition plans.
12 chapters in this module
- Due diligence prep
- Control continuity checks
- Transition planning
- Integration timelines
- Stakeholder alignment
- Gap analysis
- Remediation roadmap
- Client communication
- Audit trail setup
- Version control
- Reporting structure
- Final sign-off
Module 11. Vendor and Third-Party Reviews
Own the vendor review track end to end, from scoping to sign-off, with standardized assessment templates and documented oversight.
12 chapters in this module
- Vendor scoping
- Assessment criteria
- Questionnaire design
- Evidence collection
- Risk rating
- Exception handling
- Approval workflows
- Oversight documentation
- Remediation tracking
- Final review
- Sign-off process
- Archive protocols
Module 12. Sustaining Compliance Over Time
Implement repeatable processes for maintaining ISO 42001 compliance across changing teams, systems, and client requirements.
12 chapters in this module
- Review cycle setup
- Change management
- Staff turnover planning
- Knowledge transfer
- Document versioning
- Audit readiness
- Stakeholder updates
- Policy refresh
- Training integration
- Continuous improvement
- Lessons learned
- Compliance automation
How this maps to your situation
- Preparing for first ISO 42001 audit
- Leading AI governance in M&A context
- Responding to regulator-facing review request
- Onboarding new client with strict compliance requirements
Before vs. after
Before
Relies on external teams to define scope and control mapping for AI governance reviews
After
Owns end-to-end ISO 42001 review cycle with direct escalations from senior sponsors
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, or 36 hours total, with self-paced access and downloadable references for ongoing use.
How this compares to the alternatives
Unlike generic AI ethics courses or certification prep that focus on theory, this program delivers field-tested methods for owning real-world ISO 42001 engagements, from M&A integration to regulator-facing reviews, with templates and playbooks used in actual federal and commercial deployments.
Frequently asked
How is this different from ISO 27001 training?
This course focuses exclusively on AI governance under ISO 42001, including control selection for machine learning systems, bias risk assessment, and documentation specific to AI management systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this focused on federal or commercial clients?
The methods apply to both, with templates adapted for regulated sectors including defense, finance, and healthcare.
$199 one-time. Approximately 3 hours per module, or 36 hours total, with self-paced access and downloadable references for ongoing use..
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