A tailored course, built for your situation
Mastering ISO 42001 for Senior Advisory Practitioners in Global Technology Services
Turn AI governance frameworks into trusted decision leverage across client engagements
$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 advisory and compliance leaders in global technology services firms guiding AI governance, vendor selection, and technical architecture decisions
Who this is not for
Individuals seeking entry-level compliance training or general AI awareness without a governance or advisory focus
What you walk away with
- Lead vendor-review tracks with confidence and structured ISO 42001-backed reasoning
- Shape client technical architecture decisions using authoritative control mapping
- Guide hiring criteria for AI roles based on ISO 42001 competency domains
- Deliver consistent, audit-ready documentation aligned with global standards
- Build repeatable client advisories that compound across engagements
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 and AI Governance
Establish a working command of ISO 42001 principles, scope, and applicability in client-facing advisory roles. Understand how it integrates with existing governance frameworks and where it diverges from legacy standards.
12 chapters in this module
- What ISO 42001 governs
- AI systems lifecycle phases
- Scope definition for client engagements
- Mapping to NIST AI RMF
- Differences from ISO 27001
- Global adoption trends
- Client readiness assessment
- Stakeholder alignment checklist
- Risk-based approach foundation
- Control objective hierarchy
- Documentation requirements
- Common misinterpretations
Module 2. Leadership and Organizational Context
Learn how to position ISO 42001 at the leadership level, define organizational roles, and secure cross-functional buy-in for governance rollout.
12 chapters in this module
- Executive sponsorship onboarding
- Accountability framework design
- AI governance charter drafting
- Role clarity across teams
- Commitment communication templates
- Governance committee structure
- Decision rights mapping
- AI policy ownership
- Cross-department coordination
- Vendor interaction protocols
- Escalation pathways
- Performance metrics alignment
Module 3. AI Risk Assessment and Control Framework
Build repeatable risk assessment models tailored to client environments and map them directly to ISO 42001 control objectives.
12 chapters in this module
- AI-specific risk identification
- Threat modeling techniques
- Control objective mapping
- Risk tolerance definition
- Scenario analysis examples
- Third-party risk integration
- Bias detection protocols
- Security incident linkage
- Human oversight thresholds
- Risk register template
- Control effectiveness review
- Audit trail requirements
Module 4. Vendor Selection and Third-Party Oversight
Master the use of ISO 42001 to lead vendor evaluations, define selection criteria, and ensure third-party compliance.
12 chapters in this module
- Vendor prequalification checklist
- Due diligence process design
- Contractual compliance clauses
- Third-party audit rights
- Subcontractor oversight
- Performance monitoring
- Compliance evidence requests
- Onsite assessment planning
- Questionnaire design
- Scorecard development
- Remediation tracking
- Exit strategy considerations
Module 5. AI System Design and Development Governance
Apply ISO 42001 principles to technical architecture, model development, and system design phases.
12 chapters in this module
- Design phase compliance gates
- Model documentation standards
- Data provenance tracking
- Version control integration
- Testing protocols for fairness
- Explainability requirements
- Security by design principles
- Human-in-the-loop design
- Model drift detection
- Change management controls
- Peer review mechanisms
- Architecture decision records
Module 6. Deployment and Operational Controls
Implement operational safeguards and monitoring systems that align with ISO 42001 during AI system deployment.
12 chapters in this module
- Deployment approval workflow
- Monitoring dashboard design
- Incident response plan
- User feedback mechanisms
- Model retraining triggers
- Access control enforcement
- Resource utilization tracking
- Fail-safe procedures
- Drift threshold settings
- Emergency override protocols
- Audit logging standards
- Operational review cycle
Module 7. Human Oversight and Accountability
Define clear human oversight structures, escalation paths, and accountability mechanisms required by ISO 42001.
12 chapters in this module
- Oversight role definition
- Escalation trigger criteria
- Decision review process
- Human override mechanisms
- Audit trail retention
- Bias appeal process
- Incident reporting lines
- Accountability matrix
- Training requirements
- Performance review linkage
- Sanction frameworks
- Whistleblower protection
Module 8. Transparency and Explainability Requirements
Ensure AI systems meet transparency obligations and provide meaningful explainability to stakeholders.
12 chapters in this module
- Explainability level definitions
- User communication templates
- Stakeholder disclosure standards
- Model summary documentation
- Decision rationale capture
- Right to explanation handling
- Audit trail accessibility
- Public reporting thresholds
- Marketing claim validation
- Bias disclosure protocols
- Accuracy transparency
- Limitations documentation
Module 9. Privacy and Data Governance Integration
Integrate ISO 42001 requirements with existing privacy frameworks like GDPR and CCPA.
12 chapters in this module
- PIA integration process
- Data minimization enforcement
- Consent management
- Purpose limitation controls
- Data subject rights handling
- Cross-border data flow
- Anonymization standards
- Data quality assurance
- Retention period enforcement
- Deletion verification
- Breach notification linkage
- DPIA alignment
Module 10. Performance Monitoring and Continuous Improvement
Establish ongoing monitoring and improvement processes for AI systems under ISO 42001.
12 chapters in this module
- KPI definition for AI systems
- Performance dashboards
- Bias monitoring frequency
- Accuracy tracking methods
- User satisfaction metrics
- Feedback loop design
- Model retraining schedule
- System degradation detection
- Audit frequency planning
- Improvement backlog
- Lessons learned process
- Benchmarking against peers
Module 11. Internal Audit and Compliance Verification
Prepare for and conduct internal audits to verify ISO 42001 compliance.
12 chapters in this module
- Audit planning process
- Checklist development
- Evidence collection methods
- Sampling techniques
- Non-conformance handling
- Remediation tracking
- Audit report structure
- Management review meeting
- Corrective action process
- Audit trail inspection
- Control testing methods
- Audit independence assurance
Module 12. Certification and External Audit Preparation
Prepare for external certification audits and ensure readiness across documentation, controls, and stakeholder alignment.
12 chapters in this module
- Certification body selection
- Readiness assessment
- Documentation package assembly
- Audit timeline planning
- Internal dry run
- Evidence folder preparation
- Stakeholder briefing
- Q&A preparation
- Non-conformance response
- Certification maintenance
- Surveillance audit prep
- Scope change management
How this maps to your situation
- Client vendor-review track leadership
- Technical decision framing under uncertainty
- Hiring criteria development for AI roles
- Executive advisory on AI governance rollout
Before vs. after
Before
Spending cycles explaining AI governance basics and reacting to client requests
After
Leading client conversations with confidence, owning vendor tracks, and shaping technical direction from day one
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 busy practitioners. Total investment: 36 hours over 6-8 weeks.
If nothing changes
Remaining reactive on AI governance means missed influence opportunities across client engagements and advisory work.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers structured, client-ready frameworks for influencing technical decisions and vendor tracks using ISO 42001.
Frequently asked
Who is this course designed for?
Senior advisory practitioners in global technology services firms guiding AI governance, vendor selection, and technical architecture decisions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does the course include practical tools?
Yes, every module includes downloadable templates, worked examples, and a hand-built implementation playbook.
$199 one-time. Approximately 3 hours per module, designed for busy practitioners. Total investment: 36 hours over 6-8 weeks..
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