A tailored course, built for your situation
Faster path from AI governance intent to working compliance artefact using ISO 42001
Go from policy draft to signed-off AI governance package in days, not weeks
$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.
Stalled governance cycles delaying AI deployment timelines
The situation this course is for
AI initiatives slow down when governance takes too long to produce clear, compliant documentation. Teams wait for sign-off, momentum drops, and parallel work creates rework.
Who this is for
Senior IC in Data & AI driving AI governance compliance without direct authority, needing to ship fast and gain influence
Who this is not for
Individuals seeking certification prep only, or those focused on non-ISO frameworks like SOC 2 or HIPAA
What you walk away with
- Deliver ISO 42001-compliant AI governance packages in under 10 days
- Reduce review cycles by using pre-validated documentation templates
- Build confidence in presenting governance artefacts to technical and non-technical stakeholders
- Create reusable components that accelerate future deployments
- Establish yourself as the internal source of speed in AI governance delivery
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 scope and AI system boundaries
Define what constitutes an AI system under ISO 42001 with precision, avoiding over-scoping and unnecessary documentation load.
12 chapters in this module
- What ISO 42001 defines as an AI system
- Mapping AI lifecycle stages to clause coverage
- Exclusions you can claim with confidence
- Boundary setting for LLM-based tools
- When to include data pipelines in scope
- Documenting training data sources
- Human oversight thresholds
- Third-party model integration points
- Versioning governance boundaries
- Internal vs external model hosting
- Labeling model cards for compliance
- Tracking deployment environments
Module 2. Rapid risk assessment using ISO 42001 Annex A controls
Conduct targeted AI risk assessments in hours using pre-built mappings to ISO 42001 control objectives.
12 chapters in this module
- Prioritizing risk domains for AI systems
- Mapping AI use cases to control A.8.1
- Automated decision transparency requirements
- Bias and fairness evaluation triggers
- Stakeholder impact scoring method
- Privacy threshold assessment shortcuts
- Security baseline alignment
- Model explainability thresholds
- Incident response planning scope
- Third-party risk triggers
- Human-in-the-loop decision points
- Risk register formatting for speed
Module 3. Designing compliant AI system documentation
Create documentation packages that pass initial review without rework using ISO 42001’s required evidence structure.
12 chapters in this module
- Control A.8.2 documentation requirements
- System purpose statement drafting
- Intended use specification templates
- Prohibited use cases declaration
- Model type classification guide
- Data lineage depth expectations
- Human oversight mechanism design
- Accuracy and performance metrics
- Monitoring plan structure
- Version change log format
- Update frequency commitments
- Complaint handling process design
Module 4. Building AI management system policies fast
Draft policies that satisfy ISO 42001 clauses without reinventing the wheel or waiting on legal.
12 chapters in this module
- Top management commitment wording
- AI policy scope definition
- Risk appetite statement templates
- Compliance obligation tracking
- Resource allocation clauses
- Role and responsibility mapping
- Training programme design
- Internal audit frequency
- Management review cadence
- Policy distribution evidence
- Policy update triggers
- Version control method
Module 5. Creating audit-ready statements of applicability
Generate SoAs that justify exclusions clearly and map controls efficiently for faster assessor acceptance.
12 chapters in this module
- SoA structure per ISO 42001
- Justifying exclusion of A.8.1
- Control implementation status codes
- Responsibility assignment format
- Evidence location indexing
- Mapping to internal controls
- Cross-referencing existing policies
- Versioning the SoA
- Assessor communication tips
- Common rejection reasons to avoid
- Peer review checklist
- Final sign-off workflow
Module 6. Fast-tracking AI governance reviews
Cut review cycles by aligning artefacts to reviewer expectations and reducing back-and-forth.
12 chapters in this module
- Identifying internal reviewer personas
- Pre-submission alignment tactics
- Highlighting key control implementations
- Creating executive summaries
- Annotating evidence trails
- Response tracking system
- Version diff reporting
- Automated checklist integration
- Reviewer feedback categorization
- Change impact analysis method
- Approval workflow design
- Post-review closure steps
Module 7. Implementing human oversight mechanisms
Design oversight protocols that meet ISO 42001 standards without slowing down deployment velocity.
12 chapters in this module
- Defining human-in-the-loop points
- Intervention capability design
- Monitoring dashboard structure
- Alerting thresholds for intervention
- Override logging requirements
- Training for human operators
- Escalation path integration
- Incident response coordination
- Duty roster alignment
- Performance metrics for oversight
- Audit trail depth
- Review frequency for oversight logs
Module 8. Establishing AI system monitoring and logging
Set up monitoring that satisfies ISO 42001 without over-engineering or creating alert fatigue.
12 chapters in this module
- Performance drift detection
- Bias monitoring frequency
- Input data quality checks
- Output validation rules
- Anomaly detection thresholds
- Model retraining triggers
- Logging retention periods
- Access control for logs
- Incident flagging workflow
- Automated reporting cadence
- Audit readiness of logs
- Log correlation across systems
Module 9. Managing third-party AI components securely
Integrate external models and tools while maintaining ISO 42001 compliance and control.
12 chapters in this module
- Vendor due diligence checklist
- Contractual compliance clauses
- Model card review process
- Usage restriction enforcement
- API security standards
- Data handling assurances
- Incident notification terms
- Audit rights negotiation
- Compliance certification review
- Subprocessor tracking
- Exit strategy requirements
- Transition readiness planning
Module 10. Driving cross-functional AI governance adoption
Align engineering, legal, and product teams around a shared, fast-moving governance rhythm.
12 chapters in this module
- Stakeholder mapping for AI systems
- Glossary alignment across teams
- Governance touchpoint timing
- Decision log maintenance
- Cross-team feedback loops
- Escalation path design
- Change communication method
- Training for non-experts
- Incentive alignment techniques
- Metrics for adoption tracking
- Conflict resolution framework
- Lessons learned capture
Module 11. Scaling governance through reusable components
Turn one successful ISO 42001 deployment into a library that accelerates all future projects.
12 chapters in this module
- Identifying reusable policy blocks
- Template standardization method
- Control implementation patterns
- Pre-approved vendor lists
- Model evaluation scorecards
- Risk assessment shortcuts
- Checklist automation
- Playbook versioning
- Internal sharing protocols
- Contribution incentives
- Ownership assignment
- Maintenance scheduling
Module 12. Leading ISO 42001 readiness without formal authority
Exert influence and drive compliance forward even when you don’t own the budget or org chart.
12 chapters in this module
- Building credibility through delivery
- Showcasing early wins
- Creating visibility for governance work
- Leveraging peer networks
- Framing compliance as enablement
- Using data to drive adoption
- Speaking the language of product
- Aligning with security priorities
- Positioning governance as speed enabler
- Creating lightweight governance sprints
- Celebrating compliance milestones
- Documenting impact for promotion
How this maps to your situation
- When starting a new AI system documentation effort
- Before an internal audit or compliance review
- After a failed governance review cycle
- When rolling out a new AI use case at scale
Before vs. after
Before
Starting from scratch each time, waiting on reviews, repeating work across teams
After
Delivering ISO 42001-compliant packages faster, with reusable templates and stakeholder alignment
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 within 4 weeks while working full-time.
If nothing changes
Continuing with slow, ad-hoc governance processes means missed opportunities to lead AI initiatives and reduced visibility in strategic conversations.
How this compares to the alternatives
Unlike generic AI ethics courses or academic certifications, this program focuses on delivering audit-ready ISO 42001 compliance artefacts quickly, with templates and methods used in real enterprise environments.
Frequently asked
Is this course about getting ISO 42001 certified?
No. This course teaches how to produce compliant governance documentation and systems that meet ISO 42001 requirements, but does not provide certification or audit services.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if my company isn’t pursuing ISO 42001?
Yes. The frameworks and templates are directly applicable to NIST AI RMF and OECD AI Principles, and build transferable governance velocity skills.
$199 one-time. Approximately 3 hours per module, designed for completion within 4 weeks while working full-time..
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