A tailored course, built for your situation
First-draft ISO 42001 compliance artefacts that clear internal review
Produce auditable, high-integrity AI governance outputs on the first pass
The situation this course is for
Spending weeks refining policies and control mappings only to face pushback on clarity, completeness, or alignment with ISO 42001 requirements.
Who this is for
Senior software engineer with AI governance responsibilities, working across compliance frameworks and technical implementation
Who this is not for
Entry-level auditors, consultants without technical depth, or practitioners focused only on non-technical compliance roles
What you walk away with
- Produce ISO 42001-aligned policies that pass internal review without revision
- Structure Statements of Applicability with clear rationale and evidence links
- Map technical controls to ISO 42001 requirements without ambiguity
- Reduce rework cycles in compliance documentation by at least 60%
- Build reusable templates for future AI governance projects
The 12 modules (with all 144 chapters)
- Scope definition for AI governance
- Understanding clause intent
- Roles in AI compliance
- AI system boundary mapping
- Integration with SDLC
- Documentation expectations
- Control hierarchy basics
- Risk-based thinking approach
- Applicability judgments
- Internal vs external alignment
- Version control standards
- Review cycle expectations
- Policy structure template
- Clause-by-clause coverage
- Unambiguous language patterns
- Avoiding common gaps
- Evidence mapping strategy
- Ownership assignment
- Version naming convention
- Alignment with AI ethics
- Cross-referencing controls
- Stakeholder preview timing
- Formatting standards
- Review checklist integration
- Determining applicability
- Justification phrasing
- Risk linkage examples
- Control implementation level
- AI-specific exclusions
- Dependency tracking
- Rationale repository setup
- Mapping to technical design
- Version comparison method
- Stakeholder sign-off path
- Audit trail formatting
- Update trigger identification
- Control decomposition method
- AI model logging standards
- Data lineage requirements
- Bias detection integration
- Human oversight design
- Version rollback protocol
- Monitoring alert thresholds
- Access control mapping
- Secure development practices
- Third-party AI vendor checks
- Incident response triggers
- Automated control validation
- Decision log structure
- Approval chain documentation
- Versioned rationale storage
- Linking to change tickets
- Retrieval by auditor type
- Archival standards
- Template customization
- Integration with Jira
- Cross-project consistency
- Privacy-safe logging
- Audit-ready formatting
- Automated snapshot process
- Reviewer persona mapping
- Common objection patterns
- Pre-submission checklist
- Peer validation workflow
- Gap detection heuristics
- Evidence completeness score
- Stakeholder alignment timing
- Revision tracking method
- Feedback integration loop
- Version comparison tool
- Approval routing setup
- Time-to-approval benchmark
- AI risk taxonomy
- Harm identification
- Likelihood scoring
- Control effectiveness rating
- Residual risk calculation
- Threshold definitions
- Mitigation planning
- Third-party risk linkage
- Model drift monitoring
- Human-in-the-loop triggers
- Escalation path design
- Reporting frequency standards
- Evidence tagging strategy
- Pipeline integration points
- Logging for compliance
- Automated screenshot capture
- Versioned artifact storage
- Toolchain alignment
- CI/CD gate checks
- Static analysis rules
- Dynamic scanning integration
- Compliance dashboard design
- API-based evidence pull
- Audit package generation
- Vendor questionnaire design
- Control mapping method
- Evidence request protocol
- Compliance scoring model
- Contractual obligation tracking
- Audit right enforcement
- Risk tier assignment
- Onboarding checklist
- Continuous monitoring
- Incident response linkage
- Exit compliance check
- Knowledge transfer plan
- Stakeholder map
- Meeting cadence design
- Decision boundary clarity
- Escalation path setup
- Shared terminology
- Alignment checkpoint
- Conflict resolution method
- Change notification
- Joint review process
- Feedback loop design
- Status reporting format
- Dependency tracking
- Auditor persona types
- Common line of questioning
- Evidence depth test
- Rationale challenge drill
- Timeline pressure test
- Gap identification
- Mock review workflow
- Corrective action planning
- Root cause tracking
- Re-audit process
- Confidence scoring
- Improvement backlog
- Change impact assessment
- Version upgrade checklist
- Team onboarding process
- Knowledge retention
- Control review frequency
- Automated reminders
- Policy sunset process
- Lessons learned capture
- Benchmarking against peers
- Feedback from audits
- Annual review cycle
- Continuous improvement loop
How this maps to your situation
- Preparing for ISO 42001 audit
- Designing AI governance framework
- Onboarding new AI system
- Responding to internal review feedback
Before vs. after
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, with actionable takeaways in every chapter.
How this compares to the alternatives
Unlike generic compliance courses, this program is built for engineers producing ISO 42001 artefacts in AI contexts, with code-level examples, template structures, and review avoidance tactics used by practitioners at top-quartile organizations.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.