A tailored course, built for your situation
Own the ISO 42001 compliance roadmap from design to validation
A 12-module mastery path to lead AI governance with documented authority across teams
$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.
Being seen as a facilitator, not the decision driver in AI compliance rollouts
Who this is for
Senior client-facing technologist leading AI solutions with governance overlap
Who this is not for
Individuals seeking entry-level compliance overviews or non-technical awareness sessions
What you walk away with
- Initiate ISO 42001 scoping discussions with internal stakeholders
- Design a compliant control framework tailored to AI deployment patterns
- Lead vendor evidence collection with structured templates
- Validate internal readiness ahead of audit cycles
- Produce a living Statement of Applicability (SoA)
The 12 modules (with all 144 chapters)
Module 1. Scoping the ISO 42001 boundary for AI systems
Define what systems and processes fall within the scope of compliance, focusing on client-facing AI use cases.
12 chapters in this module
- Identify AI workloads under compliance scope
- Map AI lifecycle stages to ISO 42001 clauses
- Classify data sensitivity by processing pattern
- Set boundaries for internal vs vendor control
- Document scope justification for leadership
- Align scope with Meta’s AI governance principles
- Flag high-risk processing activities
- Sequence rollout by business impact
- Use case prioritization matrix
- Stakeholder input intake process
- Version control for scope documents
- Template: ISO 42001 scope statement
Module 2. Leadership commitment and policy framing
Establish documented management commitment and develop AI-specific compliance policies.
12 chapters in this module
- Draft AI compliance policy statement
- Secure leadership sign-off process
- Link policy to existing AI ethics commitments
- Define roles and responsibilities
- Policy review and update cycle
- Internal communication plan
- Executive summary for non-technical leaders
- Version-controlled policy repository
- Compliance intent messaging
- Escalation path for policy drift
- Audit-ready policy documentation
- Template: AI governance policy
Module 3. Control selection and mapping
Map ISO 42001 controls to existing AI development and deployment practices.
12 chapters in this module
- Extract 34 controls from ISO 42001 Annex A
- Classify controls as technical or procedural
- Map controls to AI data flows
- Identify inherited cloud provider controls
- Determine control ownership by team
- Gap assessment against current practices
- Control implementation timeline
- Automatable vs manual controls
- Control testing frequency matrix
- Evidence collection requirements
- Control rationalization log
- Template: Control mapping spreadsheet
Module 4. Risk assessment methodology
Conduct AI-specific risk assessments aligned with ISO 42001 requirements.
12 chapters in this module
- Define risk criteria for AI systems
- Identify AI-specific threats
- Assess likelihood of model drift
- Evaluate impact of biased outputs
- Score risks using severity matrix
- Determine risk treatment plan
- Risk register documentation
- Third-party model risk inclusion
- Human oversight thresholds
- Reassessment cadence
- Stakeholder validation of risk ratings
- Template: AI risk register
Module 5. Internal audit preparation
Prepare for internal audits with structured evidence collection and review.
12 chapters in this module
- Develop internal audit checklist
- Schedule audit cycles
- Assign auditors by domain
- Define evidence types per control
- Collect policy acknowledgment records
- Verify control implementation
- Document non-conformities
- Assign corrective action owners
- Track closure of findings
- Produce audit summary report
- Audit communication plan
- Template: Internal audit work plan
Module 6. Statement of Applicability (SoA) creation
Produce a living SoA that documents control applicability and justification.
12 chapters in this module
- List all 34 ISO 42001 controls
- Mark control as applicable or not
- Justify exclusions with evidence
- Link controls to implementation
- Versioning and change history
- SoA review with legal team
- SoA update triggers
- Automated SoA update process
- SoA distribution list
- SoA accessibility for auditors
- SoA completeness checklist
- Template: Statement of Applicability
Module 7. Vendor and third-party oversight
Extend ISO 42001 compliance to third-party AI tools and services.
12 chapters in this module
- Identify third-party AI dependencies
- Classify vendor risk level
- Request vendor ISO 42001 certification
- Review vendor SOC 2 or similar reports
- Conduct vendor security questionnaires
- Define contract clauses for compliance
- Monitor vendor control updates
- Vendor audit rights negotiation
- Incident reporting expectations
- Onboard new vendors to compliance framework
- Terminate non-compliant vendor relationships
- Template: Vendor compliance assessment
Module 8. AI system lifecycle controls
Apply ISO 42001 controls across data, model, and deployment phases.
12 chapters in this module
- Data quality assurance checks
- Bias detection and mitigation
- Model version tracking
- Training data provenance
- Model explainability requirements
- Deployment rollback capability
- Monitoring for concept drift
- Human-in-the-loop thresholds
- Feedback loop integration
- Model retirement process
- Lifecycle documentation standard
- Template: AI system register
Module 9. Human oversight and involvement
Define and document human roles in AI decision-making.
12 chapters in this module
- Identify high-risk decision points
- Define human review thresholds
- Assign oversight roles
- Document review procedures
- Training for human reviewers
- Escalation path for edge cases
- Review frequency by risk level
- Override mechanism design
- Audit trail for human decisions
- Reviewer performance metrics
- Update oversight rules
- Template: Human oversight log
Module 10. Transparency and explainability
Meet ISO 42001 transparency requirements for AI systems.
12 chapters in this module
- User-facing AI disclosure requirements
- Model documentation standard
- Explainability method selection
- Client communication templates
- Right to explanation process
- Transparency report drafting
- Audit trail for decisions
- Data source disclosure
- Model limitation disclosure
- Update transparency materials
- Stakeholder feedback loop
- Template: AI transparency statement
Module 11. Compliance validation and evidence
Produce audit-ready evidence packages for ISO 42001.
12 chapters in this module
- Define evidence types per control
- Collect policy acceptance records
- Capture system configuration snapshots
- Generate logs for oversight actions
- Archive model training details
- Document human review outcomes
- Verify evidence completeness
- Organize evidence by control
- Secure evidence storage
- Prepare for external auditor access
- Respond to auditor queries
- Template: Evidence collection checklist
Module 12. Continuous improvement cycle
Implement feedback loops to evolve the compliance program.
12 chapters in this module
- Schedule compliance reviews
- Collect internal stakeholder feedback
- Update controls based on incidents
- Track regulatory changes
- Benchmark against peer practices
- Adjust risk criteria annually
- Revise policy based on lessons
- Improve control automation
- Update training materials
- Report progress to leadership
- Celebrate compliance milestones
- Template: Compliance improvement log
How this maps to your situation
- When starting a new AI product initiative
- Before engaging external auditors
- After a vendor change in AI stack
- During annual compliance refresh cycle
Before vs. after
Before
Waiting for governance teams to define AI compliance pathways
After
Leading ISO 42001 compliance cycles independently within current role
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 with real-world AI initiatives.
If nothing changes
Without documented command of ISO 42001, practitioners miss opportunities to lead compliance cycles and remain in reactive support roles.
How this compares to the alternatives
Unlike generic compliance webinars, this course delivers role-specific, executable control mapping and evidence workflows tailored to AI systems under ISO 42001.
Frequently asked
Is this course focused on ISO 42001 specifically?
Yes, it's entirely tailored to implementing ISO 42001 for AI governance in real-world environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes, every module includes a ready-to-adapt template for immediate use in your role.
$199 one-time. Approximately 3 hours per module, designed for integration with real-world AI initiatives..
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