A tailored course, built for your situation
Influence in vendor selection and technical decisions with ISO 42001
Position yourself as the internal authority on AI governance frameworks
$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 business analyst in digital transformation services, driving AI governance initiatives with cross-functional influence
Who this is not for
Entry-level analysts, individual contributors without stakeholder engagement, practitioners outside AI or governance domains
What you walk away with
- Lead vendor evaluation sessions using ISO 42001 compliance as a decision filter
- Present technical control mappings that preempt common objections
- Shape internal AI governance policy with documented, defensible positions
- Gain peer recognition as the go-to practitioner for AI accountability frameworks
- Reduce rework by building stakeholder alignment early in project lifecycles
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and intent
Grasp the full extent of ISO 42001 and how it applies to AI systems in enterprise settings.
12 chapters in this module
- Defining AI systems under ISO 42001
- Core principles of responsible AI
- Scope boundaries for AI governance
- Mapping to organizational roles
- Difference between ISO 42001 and other standards
- Role of transparency in AI
- Human oversight requirements
- Risk-based approach to AI
- Applicability across industries
- Integration with existing frameworks
- Certification readiness path
- Common misinterpretations to avoid
Module 2. Initiating an AI governance program
Lay the foundation for an effective AI governance initiative aligned with ISO 42001.
12 chapters in this module
- Assessing organizational readiness
- Identifying AI use cases in scope
- Stakeholder identification
- Forming governance teams
- Setting governance objectives
- Establishing accountability
- Defining success metrics
- Securing leadership support
- Developing governance charter
- Launching pilot programs
- Documenting governance scope
- Aligning with business goals
Module 3. AI risk assessment under ISO 42001
Conduct structured risk assessments using the ISO 42001 framework.
12 chapters in this module
- Identifying AI-related risks
- Classifying risk severity levels
- Evaluating bias potential
- Assessing explainability gaps
- Measuring human oversight
- Data quality risk factors
- Model deployment risks
- Third-party AI vendor risks
- Legal and regulatory exposure
- Reputational risk indicators
- Risk tolerance thresholds
- Documenting risk treatment plans
Module 4. Designing AI system controls
Build technical and procedural controls that satisfy ISO 42001 requirements.
12 chapters in this module
- Control design principles
- Transparency by design
- Human-in-the-loop mechanisms
- Bias detection controls
- Model performance monitoring
- Data provenance tracking
- Version control for AI models
- Audit logging requirements
- Fail-safe design patterns
- Security controls for AI
- Explainability documentation
- Control validation methods
Module 5. Vendor selection with ISO 42001
Apply ISO 42001 criteria to evaluate and select AI vendors.
12 chapters in this module
- Vetting AI vendor claims
- Requesting ISO 42001 documentation
- Evaluating third-party audits
- Assessing vendor governance
- Scoring vendor maturity
- Running pilot evaluations
- Contractual obligations
- Due diligence checklists
- Managing vendor transitions
- Multi-vendor integration
- Ongoing vendor monitoring
- Exit strategy planning
Module 6. Technical decision frameworks
Create structured approaches to technical decisions involving AI systems.
12 chapters in this module
- Decision criteria design
- Establishing evaluation panels
- Documenting rationale
- Balancing innovation and risk
- Setting technical baselines
- Approving model changes
- Handling exceptions
- Peer review processes
- Escalation paths
- Version approval workflows
- Architecture governance
- Decommissioning decisions
Module 7. Policy development and alignment
Develop internal policies that reflect ISO 42001 principles and organizational needs.
12 chapters in this module
- Translating standards into policy
- Defining acceptable use
- Setting data handling rules
- Establishing review cycles
- Human oversight policies
- Model accuracy thresholds
- Bias mitigation requirements
- Transparency obligations
- Incident response plans
- Whistleblower protections
- Policy enforcement
- Policy communication strategy
Module 8. Documentation and audit readiness
Produce ISO 42001-compliant documentation and prepare for audits.
12 chapters in this module
- Statement of Applicability
- Control implementation records
- Risk assessment reports
- Audit trail requirements
- Evidence collection
- Internal audit planning
- Corrective action logs
- Management review minutes
- Certification readiness checklist
- Gap analysis reports
- Compliance dashboards
- External auditor coordination
Module 9. Training and awareness programs
Build organizational capability through structured training and communication.
12 chapters in this module
- Identifying training needs
- Developing role-specific content
- Onboarding new staff
- Conducting awareness sessions
- Creating reference materials
- Assessing training effectiveness
- Engaging leadership
- Internal communications plan
- Feedback collection
- Refresher training cycles
- Certification preparation
- Knowledge retention strategies
Module 10. Performance monitoring and reporting
Track AI system performance and governance effectiveness over time.
12 chapters in this module
- Defining KPIs
- Establishing baselines
- Monitoring model drift
- Tracking bias metrics
- Reporting to leadership
- Incident tracking
- Continuous improvement
- Dashboard design
- Peer benchmarking
- Regulatory reporting
- Audit findings follow-up
- Maturity assessments
Module 11. Continuous improvement
Evolve AI governance practices using feedback and lessons learned.
12 chapters in this module
- Feedback loop design
- Post-implementation reviews
- Lessons learned sessions
- Updating policies
- Enhancing controls
- Reassessing risks
- Technology refresh planning
- Adapting to new regulations
- Scaling governance
- Knowledge sharing
- Lessons from audits
- Future-proofing strategies
Module 12. Certification and external validation
Prepare for and achieve ISO 42001 certification.
12 chapters in this module
- Selecting certification body
- Pre-certification audit
- Gap remediation
- Document submission
- Audit day preparation
- Handling auditor questions
- Addressing findings
- Certification decision
- Public communication
- Maintaining certification
- Surveillance audits
- Recertification process
How this maps to your situation
- Starting an AI governance initiative
- Selecting AI vendors or tools
- Making technical control decisions
- Preparing for ISO 42001 certification
Before vs. after
Before
Participating in AI governance discussions without clear authority or structure
After
Leading vendor reviews and technical decisions with documented ISO 42001-aligned positions
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 8-12 weeks with on-demand access.
If nothing changes
Without structured influence, AI governance decisions may default to others, reducing your strategic impact.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on influence-building through ISO 42001 in real-world AI governance scenarios.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover other AI regulations?
Focus is on ISO 42001, with references to GDPR, NIST AI RMF, and DORA where aligned.
Is this relevant for consultants?
Yes, especially those guiding enterprise clients on AI governance and certification readiness.
$199 one-time. Approximately 3 hours per module, designed for completion over 8-12 weeks with on-demand access..
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