A tailored course, built for your situation
Broader Governance Influence with ISO 42001 Implementation
Transform AI governance from policy to strategic ownership within your current role
$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 practitioner in platform governance or compliance, operating as an individual contributor with deep system knowledge and growing influence in AI or data integrity.
Who this is not for
Entry-level staff, executives seeking board-level narratives, or consultants looking for generic frameworks without implementation depth.
What you walk away with
- Own the full ISO 42001 implementation lifecycle from scoping to audit
- Lead cross-functional alignment on AI governance decisions
- Design repeatable governance workflows tied to live platform operations
- Anchor stakeholder reviews with documented control mappings
- Position yourself as the primary escalation point for AI compliance design
The 12 modules (with all 144 chapters)
Module 1. Mapping ISO 42001 to Existing Platform Controls
Align ISO 42001 requirements with current Shopify infrastructure and compliance touchpoints. Identify where governance gaps already have partial controls in place.
12 chapters in this module
- Understanding ISO 42001 clause structure
- Platform-specific control applicability
- Mapping AI use cases to A.2 clauses
- Identifying overlap with existing SOC 2 controls
- Documenting evidence sources per clause
- Prioritizing high-impact implementation paths
- Stakeholder mapping for AI governance
- Engaging engineering without escalation
- Scoping boundaries for audit readiness
- Leveraging existing data flows as proof
- Building compliance traceability
- Establishing baseline control maturity
Module 2. AI Risk Assessment Under ISO 42001
Develop targeted risk assessments that reflect real platform dynamics. Focus on AI-specific threats like model drift, bias propagation, and unauthorized access.
12 chapters in this module
- Framing AI risks in business terms
- Classifying model types by risk tier
- Threat modeling for inference pipelines
- Input integrity controls
- Model versioning audit trails
- Bias detection within training data
- Human oversight thresholds
- Third-party model integrations
- Incident response triggers
- Linking risk findings to controls
- Risk register formatting for review
- Updating assessments quarterly
Module 3. Designing AI Governance Workflows
Build repeatable processes for AI system registration, review, and decommissioning that scale across teams without central bottlenecks.
12 chapters in this module
- Workflow triggers for new AI features
- Standard intake form structure
- Automated routing logic
- Self-service documentation templates
- Review cycle time targets
- Integration with Jira for tracking
- Escalation paths for exceptions
- Approval hierarchies by risk level
- Version control for policies
- Change logging for audits
- Sunset process for deprecated models
- Metrics for workflow efficiency
Module 4. Stakeholder Alignment and Buy-In
Secure lasting support from engineering, legal, and product teams through tailored communication and shared incentives.
12 chapters in this module
- Identifying key decision influencers
- Translating ISO 42001 to team goals
- Building cross-functional coalitions
- Hosting effective governance forums
- Presenting trade-offs clearly
- Managing resistance with data
- Creating visibility without bureaucracy
- Using dashboards to show progress
- Incentivizing compliance ownership
- Running tabletop exercises
- Feedback loops for policy updates
- Documenting consensus decisions
Module 5. Control Implementation in Live Environments
Operationalize ISO 42001 controls within continuous deployment systems without slowing innovation.
12 chapters in this module
- Embedding controls in CI/CD pipelines
- Automated policy checks pre-deploy
- Model registration as gate condition
- Access control integration
- Monitoring for unauthorized changes
- Logging model behavior in production
- Alert thresholds for anomalies
- Periodic access reviews
- Security scanning for AI components
- Handling legacy system exceptions
- Patch management coordination
- Audit trail completeness checks
Module 6. Evidence Collection and Audit Readiness
Produce clean, complete documentation packages for internal and external audits under ISO 42001.
12 chapters in this module
- Evidence requirements by clause
- Centralizing documentation sources
- Standardizing naming conventions
- Automating evidence collection
- Version control for audit packs
- Preparing for third-party reviewers
- Mock audit simulations
- Common finding patterns
- Root cause analysis templates
- Remediation tracking system
- Maintaining audit history
- Closing loops before renewal
Module 7. Vendor and Third-Party Management
Extend governance to external AI providers and integrations, ensuring compliance across the ecosystem.
12 chapters in this module
- Defining vendor risk categories
- Pre-contract compliance checks
- Due diligence questionnaires
- Model transparency requirements
- Data handling agreements
- Right-to-audit clauses
- Performance monitoring metrics
- Incident response coordination
- Exit strategy planning
- Penalty enforcement mechanisms
- Ongoing compliance validation
- Consolidating vendor inventory
Module 8. AI Incident Response and Reporting
Establish clear protocols for detecting, escalating, and resolving AI-related incidents while maintaining regulatory alignment.
12 chapters in this module
- Defining reportable AI events
- Detection logic for model failures
- Escalation paths by severity
- Incident classification framework
- Cross-team war room setup
- Forensic data preservation
- Root cause determination
- Remediation action tracking
- Regulatory reporting timelines
- Public statement coordination
- Post-mortem review structure
- Preventing recurrence
Module 9. Continuous Improvement and Monitoring
Implement feedback systems that evolve governance practices alongside platform changes and regulatory developments.
12 chapters in this module
- KPI tracking for AI governance
- Dashboard design for leadership
- Benchmarking against peers
- Internal audit cycles
- Policy sunset reviews
- Lessons learned integration
- Regulatory change monitoring
- Staying ahead of ISO updates
- User feedback collection
- Model performance thresholds
- Adaptive control tuning
- Quarterly governance health check
Module 10. Executive Communication and Visibility
Frame governance outcomes in strategic terms that resonate with senior leadership and support mandate expansion.
12 chapters in this module
- Crafting executive summaries
- Highlighting risk reduction
- Demonstrating efficiency gains
- Tying compliance to business goals
- Metrics that matter to execs
- Avoiding technical jargon
- Building credibility over time
- Positioning as strategic enabler
- Showcasing proactive wins
- Managing expectations
- Securing recognition
- Extending influence beyond team
Module 11. Scaling Governance Across Business Units
Replicate successful governance models across teams while allowing for domain-specific adaptations.
12 chapters in this module
- Identifying early adopter teams
- Creating reusable templates
- Training local champions
- Standardizing core requirements
- Allowing flexibility where needed
- Monitoring adoption metrics
- Sharing best practices
- Reducing duplication
- Creating governance playbooks
- Onboarding new units
- Tracking cross-unit consistency
- Optimizing shared resources
Module 12. Sustaining Governance Through Leadership Changes
Ensure continuity of AI governance practices regardless of personnel shifts or strategic pivots.
12 chapters in this module
- Documenting institutional knowledge
- Knowledge transfer protocols
- Succession planning
- Onboarding new leaders
- Maintaining policy consistency
- Updating playbooks annually
- Archiving legacy decisions
- Preserving rationale for controls
- Building organizational memory
- Reducing tribal dependency
- Version-controlled decision logs
- Ensuring audit resilience
How this maps to your situation
- When launching a new AI feature
- Before an external audit cycle
- After a governance gap is identified
- During vendor integration planning
Before vs. after
Before
Handling AI governance reactively, responding to audits and escalations as they arise.
After
Leading proactive ISO 42001 implementation, with extended decision rights and visible influence across teams.
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 3-4 hours per week over 12 weeks, with self-paced access.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers role-specific implementation paths for ISO 42001 in live platform environments, with templates and workflows tailored to senior individual contributors in tech.
Frequently asked
Is this course focused on certification?
No. This course is designed for practical implementation of ISO 42001 within real-world platform environments, not exam preparation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me move into a management role?
This course is designed to expand your mandate and influence within your current individual contributor role, not position you for a leadership transition.
$199 one-time. Approximately 3-4 hours per week over 12 weeks, with self-paced 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