A tailored course, built for your situation
Direct Influence on Framework Decisions with ISO 42001
Build authority in AI governance by mastering the standard shaping enterprise 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
Mid-level practitioner in consulting or systems integration working on governance frameworks with enterprise impact
Who this is not for
Those seeking introductory overviews of AI ethics or general compliance checklists
What you walk away with
- Lead ISO 42001 control mapping without escalation
- Authoritative voice in cross-functional AI governance reviews
- Pre-vetted rationale for control exclusions and justifications
- Internal recognition as go-to advisor for AI management systems
- Documented decision logic that survives leadership changes
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001's Role in AI Governance
Establish foundational knowledge of ISO 42001 and its strategic positioning within enterprise AI oversight.
12 chapters in this module
- What ISO 42001 regulates
- How it differs from ISO IEC 27001
- Scope definition in practice
- AI system categorization tiers
- Organizational context mapping
- Leadership accountability clauses
- Documentation requirements
- Controlled vs uncontrolled environments
- Integration with NIST AI RMF
- Benchmarking against COBIT
- Use cases in federal contracting
- Common misapplications to avoid
Module 2. Initiating the AI Management System
Walk through the steps to launch a compliant AI management system tailored to organizational size and risk profile.
12 chapters in this module
- Defining leadership roles
- Assigning AI governance ownership
- Risk appetite thresholds
- Stakeholder identification
- Internal communication plan
- Policy drafting standards
- Version control protocols
- Audit trail setup
- Training obligations
- Third-party integration rules
- Incident response linkage
- Management review cadence
Module 3. AI Risk Assessment Frameworks
Master the methodology for identifying, analyzing, and treating AI-specific risks under ISO 42001.
12 chapters in this module
- Hazard identification techniques
- Impact severity scoring
- Likelihood estimation models
- Risk treatment hierarchy
- Avoid transfer mitigate accept options
- Residual risk documentation
- Reassessment intervals
- Automated monitoring triggers
- Human oversight thresholds
- Bias detection integration
- Model drift response
- Emergency override protocols
Module 4. Control Selection and Justification
Learn how to select controls based on organizational context and defend exclusions with traceable rationale.
12 chapters in this module
- Annex A control overview
- Applicability statements
- Tailoring criteria
- Exclusion justification templates
- Legal and regulatory alignment
- Sector-specific adaptations
- Supply chain dependencies
- Open source considerations
- Model lifecycle coverage
- Data provenance tracking
- Transparency obligations
- Stakeholder consultation logs
Module 5. Documentation Requirements and Artefacts
Produce audit-ready documentation that satisfies internal and external reviewers.
12 chapters in this module
- Statement of Applicability structure
- Control implementation records
- Internal audit schedules
- Management review minutes
- Nonconformity tracking
- Corrective action workflows
- Evidence retention policies
- Version history logs
- Approval sign-off chains
- Stakeholder feedback repositories
- Policy exception registers
- Compliance dashboard design
Module 6. Internal Audit and Readiness
Prepare for certification audits with confidence through structured self-assessment.
12 chapters in this module
- Audit planning checklist
- Sampling methodology
- Interview techniques
- Evidence sufficiency standards
- Gap identification protocol
- Remediation tracking
- Pre-certification mock audit
- Question response templates
- Scope boundary testing
- Control operating effectiveness
- Management challenge prep
- External auditor expectations
Module 7. Vendor and Third-Party Oversight
Extend governance to external partners while maintaining compliance and accountability.
12 chapters in this module
- Vendor risk categorization
- Due diligence checklists
- Contractual obligations
- Right-to-audit clauses
- Subprocessor management
- Compliance verification
- Performance monitoring
- Security incident notification
- Exit strategy planning
- Joint control arrangements
- Liability allocation
- Insurance requirements
Module 8. Human Oversight in AI Systems
Ensure appropriate human involvement in AI decision-making processes.
12 chapters in this module
- Human-in-the-loop thresholds
- Escalation procedures
- Override mechanisms
- Training for human reviewers
- Decision logging standards
- Bias detection roles
- Error feedback loops
- Appeal process design
- Performance monitoring
- Workload balancing
- Accountability assignment
- Ethical escalation paths
Module 9. AI System Lifecycle Management
Govern AI systems from design through decommissioning.
12 chapters in this module
- Design phase controls
- Data quality assurance
- Model validation steps
- Deployment checklists
- Monitoring requirements
- Performance degradation alerts
- Update approval process
- Retraining triggers
- Decommissioning protocol
- Knowledge transfer steps
- Legacy system integration
- Post-mortem analysis
Module 10. Incident Response and Recovery
Respond effectively to AI system failures or unintended behaviors.
12 chapters in this module
- Incident classification
- Reporting workflows
- Containment strategies
- Root cause analysis
- Stakeholder notification
- Regulatory reporting
- System rollback procedures
- Recovery validation
- Lessons learned process
- Corrective action follow-up
- Public relations coordination
- Legal counsel engagement
Module 11. Continuous Improvement and Review
Embed ongoing evaluation into the AI governance process.
12 chapters in this module
- Management review inputs
- KPI tracking
- Trend analysis
- Benchmarking methods
- Stakeholder satisfaction
- Audit findings review
- Regulatory change monitoring
- Technology shift impact
- Process refinement cycles
- Resource adequacy review
- Strategic objective alignment
- Annual improvement planning
Module 12. Certification and Beyond
Navigate the certification process and sustain compliance long-term.
12 chapters in this module
- Accredited body selection
- Stage 1 audit prep
- Stage 2 audit strategy
- Nonconformity response
- Surveillance audit readiness
- Recertification cycle
- Public disclosure strategy
- Marketing compliance
- Client assurance materials
- Internal champion program
- Lessons from first audits
- Scaling across domains
How this maps to your situation
- When launching a new AI governance initiative
- During vendor selection and due diligence
- Preparing for internal or external audit
- Responding to regulatory change or incident
Before vs. after
Before
Input-heavy participation in governance discussions without final say
After
Recognized owner of framework decisions with documented rationale and peer deference
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 integration into active projects.
If nothing changes
Continuing to contribute without ownership may limit visibility into strategic decisions and slow progression into leadership-track roles.
How this compares to the alternatives
Unlike generic AI ethics courses or compliance overviews, this program focuses specifically on ISO 42001 implementation authority, giving you direct influence on framework decisions others escalate.
Frequently asked
Does this course cover technical implementation?
It covers governance decisions impacting technical design, not coding or system architecture.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for federal contractors?
Yes, especially given the firm’s role in advising regulated entities on compliance frameworks.
$199 one-time. Approximately 3 hours per module, designed for integration into active projects..
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