A tailored course, built for your situation
Sources and specific examples on hand when peers push back
Build defensible AI governance positions using ISO 42001 with concrete reasoning, not consensus
Who this is for
Senior practitioner in governance, risk, or compliance roles shaping policy around emerging tech, especially AI, who needs to justify design choices under peer review without relying on hierarchy or momentum.
Who this is not for
Entry-level staff learning basics of compliance, vendors selling automation tools, or those seeking certification prep for CISA/CRISC. This is not a general overview or audit checklist course.
What you walk away with
- Map ISO 42001 controls to specific organizational scenarios using annotated examples
- Reference original framework commentary and implementation notes to support interpretations
- Construct defensible positions on AI oversight using comparative analysis against OWASP AI and NIST AI RMF
- Navigate peer challenges with pre-built reasoning trees and precedent citations
- Produce living documentation that evolves with feedback and regulatory shifts
The 12 modules (with all 144 chapters)
- The myth of alignment without justification
- When peer review exposes weak foundations
- Defensibility vs decision velocity tradeoffs
- Examples from financial services AI audits
- How ISO 42001 supports reasoned choice
- Contrast with NIST AI RMF implementation gaps
- Tracing controls to organizational context
- Building justification into early design
- Common misconceptions about 'compliance'
- Why precedent fails in novel AI use cases
- Using framework structure as reasoning scaffold
- Preparing for cross-functional pushback
- Parsing 'shall' vs 'should' in AI context
- Control A.7.1 breakdown by intent
- Original committee rationale for A.7.2
- Mapping A.7.3 to talent data workflows
- How A.8.1 supports audit trails
- A.8.2 and model transparency requirements
- Interpreting A.9.1 on human oversight
- A.9.2 in hybrid decision systems
- A.10.1 and bias assessment frequency
- A.10.2 as documentation standard
- A.11.1 and stakeholder communication
- A.11.2 in escalation protocols
- A.7.1 in cloud HR platform rollout
- Challenge to A.7.2 during regulator review
- How A.7.3 held up in internal audit
- A.8.1 implementation in talent analytics
- A.8.2 model card example from tech firm
- A.9.1 in hybrid hiring workflow
- A.9.2 override logging in practice
- A.10.1 bias review frequency case
- A.10.2 documentation package sample
- A.11.1 comms plan across legal and HR
- A.11.2 during executive escalation
- Cross-reference with SOC 2 Type II
- Scope differences in AI lifecycle
- OWASP focus on adversarial testing
- NIST RMF and trustworthiness goals
- ISO 42001 strength in management system
- Where OWASP lacks policy depth
- NIST gaps in implementation specificity
- Mapping OWASP LLM risks to ISO controls
- NIST AI RMF mapping to ISO 42001
- When to blend frameworks
- Risk of over-engineering with overlap
- Using comparison to strengthen rationale
- Documenting framework tradeoffs
- Finding ISO technical committee outputs
- Understanding TC 4216 JWG 26 origins
- Published rationale for A.7 series
- Editorial notes on A.8 structure
- Public consultation feedback summary
- How national bodies interpreted A.9
- CEN vs ISO implementation nuance
- European regulator alignment status
- US NIST cross-referencing pattern
- UK ICO guidance links
- Canada’s AI regulations overlap
- Australia’s ALGCOE commentary
- Tree structure for A.7.1 defense
- First layer: regulatory alignment
- Second layer: operational feasibility
- Third layer: risk tolerance fit
- Anticipating HR legal pushback
- Addressing IT integration concerns
- Countering 'too early to standardize'
- Responding to 'we already do this'
- Handling 'burdensome process' claim
- Rebutting 'not our risk profile'
- Using precedent from peer firms
- Closing with escalation path clarity
- Template structure overview
- Column A: Control reference
- Column B: Organizational process
- Column C: Implementation method
- Column D: Owner and frequency
- Column E: Evidence location
- Column F: Deviation rationale
- Column G: Review history log
- Column H: Regulatory crosswalk
- Column I: Framework alternatives
- Column J: Escalation path
- Versioning and audit trail setup
- Designing the comparison matrix
- Row 1: Scope coverage
- Row 2: Implementation effort
- Row 3: Audit readiness
- Row 4: Regulatory alignment
- Row 5: Talent team adaptability
- Row 6: Integration with HRIS
- Row 7: Scalability to new AI tools
- Row 8: Bias detection depth
- Row 9: Human oversight clarity
- Row 10: Documentation burden
- Weighting and scoring methodology
- Version control best practices
- Change log structure for audits
- Annotating rationale shifts
- Linking updates to incidents
- Review cycle triggers
- Stakeholder notification process
- Archiving deprecated versions
- Searchable index design
- Cross-linking related policies
- Automated snapshot frequency
- Permission tiers for access
- Retention in legal hold
- 'We’re not ready for ISO 42001'
- 'This duplicates existing policy'
- 'Too much overhead for our stage'
- 'Our vendor already handles this'
- 'Regulators haven’t asked for it'
- 'We don’t have the expertise'
- 'It slows innovation'
- 'We’re using NIST instead'
- 'We follow internal standards'
- 'It doesn’t fit our culture'
- 'We’re waiting for regulation'
- 'We’re too small for formalism'
- AI in resume screening tools
- Bias audits in promotion models
- Performance feedback algorithm review
- Workforce planning AI oversight
- Leadership potential predictors
- Compensation modeling governance
- Retention risk scoring systems
- Internal mobility recommendation engines
- Skills inference AI validation
- Bias testing in learning platforms
- Audit trail integration with HRIS
- Employee communication strategy
- Playbook structure overview
- Customized control mapping
- Organization-specific examples
- Editable justification templates
- Sourcing reference list
- Stakeholder comms drafts
- Implementation roadmap
- Review cycle schedule
- Escalation protocols
- Version control setup guide
- Audit evidence directory
- Final Q&A and support path
How this maps to your situation
- When starting a new AI initiative
- During internal audit preparation
- Facing cross-functional skepticism
- Before executive review of AI strategy
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, designed to be completed over 4-6 weeks with flexible pacing.
How this compares to the alternatives
Unlike certification prep courses or vendor-led training, this course focuses on practical defensibility, building the ability to explain and justify decisions using ISO 42001 as a foundation, not just pass a test or follow a tool.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.