A tailored course, built for your situation
Direct sign-off authority on ISO 42001 control deployment decisions
Own the final configuration and implementation calls on AI governance controls 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.
Who this is for
Senior compliance practitioner implementing AI governance controls in financial services, already operating at independence but seeking formalised, defensible control ownership
Who this is not for
Entry-level auditors, consultants without system access, or teams focused solely on ISO 27001 or SOC 2 without AI governance integration
What you walk away with
- Final decision rights on control design for AI workflows under ISO 42001
- Authority to approve control mappings without functional escalation
- Ownership of the SoA narrative for AI-specific domains
- Independence in vendor control assessments tied to ISO 42001 certification
- Defensible documentation package that preempts review loops
The 12 modules (with all 144 chapters)
Module 1. Defining ISO 42001 scope for AI-integrated payment systems
Establish clear boundaries for AI governance controls within payment processing environments. Learn to assert jurisdiction over control domains involving algorithmic decisioning, model inputs, and real-time fraud scoring.
12 chapters in this module
- Scope mapping for AI components
- Control boundary ownership
- Payment system integration points
- AI system inventory standards
- Jurisdictional control claims
- Data flow segmentation
- Model lifecycle thresholds
- Third-party AI service delineation
- Legacy system interface rules
- Real-time processing exceptions
- Incident response triggers
- Version control handoffs
Module 2. Selecting AI-specific controls from ISO 42001 Annex A
Master the selection of 12 critical controls from ISO 42001 Annex A that directly address AI model transparency, human oversight, and performance drift detection in production environments.
12 chapters in this module
- Annex A control 1 interpretation
- Model documentation standards
- Human-in-the-loop thresholds
- Bias testing frequency
- Performance baseline setting
- Drift detection protocols
- Input sanitization rules
- Output validation checks
- Red team evaluation cycle
- Model version control
- Audit trail retention
- Incident escalation paths
Module 3. Building defensible control justifications
Develop evidence-backed rationales for control exceptions, adaptations, and customizations that stand up to internal and external scrutiny without requiring senior approval.
12 chapters in this module
- Justification framework structure
- Regulatory alignment citations
- Risk appetite linkage
- Industry precedent sourcing
- Peer benchmark references
- Cost-benefit thresholds
- Legal counsel engagement points
- Audit trail anchoring
- Stakeholder impact notes
- Change control integration
- Versioned documentation
- Review cycle triggers
Module 4. Owning vendor control assessments for AI tools
Exercise independent judgment on third-party AI vendor compliance by applying ISO 42001 control criteria directly to vendor documentation, demos, and contractual commitments.
12 chapters in this module
- Vendor documentation audit
- Control gap identification
- Compliance evidence thresholds
- Contractual control mapping
- API security validation
- Data governance checks
- Model bias reporting
- Performance SLA verification
- Incident response review
- Penetration test review
- Right-to-audit clauses
- Exit strategy validation
Module 5. Finalizing control mapping documentation
Produce authoritative control mapping outputs that require no revision loops, serving as the single source of truth for auditors and internal stakeholders.
12 chapters in this module
- Control ownership assignment
- Mapping template standardization
- Cross-functional alignment points
- Version control protocols
- Audit trail integration
- Exception tracking
- Rationale documentation
- Stakeholder sign-off workflow
- Update cycle definition
- Review responsibility
- Archive rules
- Compliance snapshot timing
Module 6. Asserting authority over the Statement of Applicability
Take full ownership of the SoA narrative for AI-related controls, including justification for inclusions, exclusions, and implementation status without review.
12 chapters in this module
- SoA structure standards
- Control inclusion rules
- Exclusion justification templates
- Implementation status coding
- Risk treatment alignment
- Legal basis referencing
- Industry benchmark citations
- Stakeholder impact notes
- Version control integration
- Audit readiness checks
- Update cycle timing
- Distribution list management
Module 7. Leading internal ISO 42001 audit cycles
Conduct internal audits of AI governance controls with full authority to issue findings, request remediation, and close observations without escalation.
12 chapters in this module
- Audit schedule setting
- Scope definition rules
- Evidence collection standards
- Finding severity classification
- Remediation deadline setting
- Stakeholder notification
- Escalation threshold rules
- Observation tracking
- Closure validation
- Audit report finalization
- Trend analysis
- Preventive control suggestions
Module 8. Designing AI control monitoring workflows
Implement continuous monitoring systems for AI governance controls with full authority over alert thresholds, response protocols, and escalation paths.
12 chapters in this module
- Monitoring scope definition
- Alert threshold setting
- False positive handling
- Response protocol design
- Escalation path mapping
- Incident documentation
- Drift detection tuning
- Model retraining triggers
- Data quality checks
- Human review frequency
- Automated response rules
- Reporting cycle timing
Module 9. Managing ISO 42001 certification cycles
Lead end-to-end certification efforts for AI systems, including auditor coordination, evidence delivery, and final compliance declaration.
12 chapters in this module
- Certification timeline setting
- Audit window coordination
- Evidence package assembly
- Auditor Q&A preparation
- Finding response drafting
- Remediation tracking
- Compliance declaration
- Stakeholder notification
- Post-certification review
- Gap tracking
- Renewal cycle planning
- Lessons learned integration
Module 10. Influencing AI governance policy updates
Propose and implement changes to AI governance policies based on control performance, audit findings, and technological evolution without requiring approval.
12 chapters in this module
- Policy change identification
- Impact assessment
- Stakeholder consultation
- Revision drafting
- Implementation timing
- Communication plan
- Training update coordination
- Control alignment
- Audit trail update
- Version control
- Effective date setting
- Sunset rules
Module 11. Handling regulator-facing reviews
Serve as the primary point of contact for external assessors, providing documentation, explanations, and commitments related to ISO 42001 AI controls.
12 chapters in this module
- Regulator inquiry triage
- Response drafting authority
- Evidence package preparation
- Commitment wording
- Escalation rules
- Timeline management
- Cross-functional alignment
- Reputation risk assessment
- Precedent tracking
- Internal reporting
- Follow-up cycle
- Lessons incorporation
Module 12. Sustaining control ownership through leadership changes
Ensure continuity of control authority by building institutionalized playbooks, documentation standards, and stakeholder alignment that persist beyond individual tenure.
12 chapters in this module
- Playbook documentation
- Succession planning
- Stakeholder onboarding
- Knowledge transfer protocols
- Control ownership transition
- Institutional memory preservation
- Version control hygiene
- Audit trail maintenance
- Policy reference stability
- Stakeholder expectation setting
- Escalation path clarity
- Continuous improvement loop
How this maps to your situation
- When deploying AI models in regulated environments
- During internal audit preparation cycles
- When evaluating third-party AI vendors
- Ahead of ISO 42001 certification reviews
Before vs. after
Before
Control decisions require cross-functional alignment and senior review, creating delays and dilution of accountability
After
Full authority to make, document, and defend ISO 42001 control decisions for AI systems without escalation or revision loops
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 incremental application alongside active work cycles
How this compares to the alternatives
Unlike generic compliance courses, this program delivers concrete decision rights and defensible authority in AI governance contexts, with specific templates and playbooks used by teams at global financial platforms.
Frequently asked
Who is this course designed for?
Senior compliance practitioners implementing AI governance controls in regulated environments who seek formal authority over control decisions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover ISO 27001 or SOC 2?
No, it focuses exclusively on ISO 42001 control ownership for AI governance in payment systems.
$199 one-time. Approximately 3 hours per module, designed for incremental application alongside active work cycles.
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