A tailored course, built for your situation
Mastering ISO 42001 for Senior Consulting and Data Architecture Leaders
Build an AI governance asset that compounds across client engagements and internal initiatives
$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.
Stop rebuilding the same foundations for every new client or project
The situation this course is for
High-performing consultants often solve the same core problems repeatedly, gap assessments, control mappings, scoping documents, without a system to preserve and reuse those outputs. This creates inefficiency and caps scalability.
Who this is for
Senior consulting leader and technical advisor driving AI governance and compliance outcomes across client-facing projects
Who this is not for
Entry-level practitioners, auditors focused only on checklists, or vendors selling point solutions without implementation depth
What you walk away with
- Produce ISO 42001 Statements of Applicability that evolve across engagements
- Build a reusable control mapping library aligned to NIST CSF and ISO 42001
- Turn client-specific work into transferable, IP-grade documentation
- Accelerate scoping for new AI governance projects using battle-tested templates
- Lead with a documented methodology that compounds in value across roles and employers
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 and AI Governance
Understand the structure, intent, and strategic value of ISO 42001 in enterprise AI programs.
12 chapters in this module
- What ISO 42001 standardizes
- Core principles of AI governance
- Mapping AI risk to business outcomes
- The role of leadership in AI accountability
- Differences from ISO 27001 and SOC 2
- Organizational context setup
- Understanding scope definition
- Key terms and definitions
- Compliance vs. operational value
- Integration with existing frameworks
- Regulatory alignment paths
- Stakeholder engagement model
Module 2. Scoping AI Management Systems
Define precise, defensible boundaries for AI governance initiatives.
12 chapters in this module
- Identifying AI systems in inventory
- Classifying AI risk levels
- Determining organizational scope
- Documenting decision rationale
- Boundary challenges with cloud AI
- Handling third-party models
- Version control for scope updates
- Stakeholder feedback integration
- Scope alignment with client needs
- Maintaining scope over time
- Cross-functional coordination
- Audit readiness for scope claims
Module 3. Leadership and Accountability Frameworks
Design governance structures that ensure sustained AI oversight.
12 chapters in this module
- Assigning AI governance roles
- Defining clear accountability
- Establishing governance forums
- Documenting decision rights
- Escalation paths for AI incidents
- Integrating with existing committees
- Leadership training content
- Performance metrics for oversight
- Succession planning for roles
- External reporting alignment
- Communication cadence design
- Review cycle integration
Module 4. Risk Assessment and Treatment Planning
Systematize AI risk identification and mitigation planning.
12 chapters in this module
- AI-specific risk taxonomies
- Threat modeling for algorithms
- Bias detection frameworks
- Transparency risk assessment
- Data provenance validation
- Model drift monitoring
- Developing risk treatment plans
- Control selection rationale
- Residual risk documentation
- Third-party risk integration
- Risk register maintenance
- Reporting risk trends
Module 5. Control Mapping Across Frameworks
Align ISO 42001 controls to NIST CSF, SOC 2, and internal policies.
12 chapters in this module
- Control-to-control mapping methods
- Crosswalk documentation
- NIST CSF alignment
- SOC 2 overlap points
- Internal policy integration
- Automated control tracking
- Version control for mappings
- Client-specific adaptation
- Audit evidence alignment
- Gap analysis techniques
- Maintenance cadence
- Stakeholder communication
Module 6. Documented Information Management
Create maintainable, reusable documentation for AI governance.
12 chapters in this module
- Required documents in ISO 42001
- Document hierarchy design
- Version control standards
- Retention and access rules
- Automated document generation
- Template libraries
- Cross-engagement reuse
- Client customization workflow
- Ownership assignment
- Review and update cycles
- Archival procedures
- Audit trail integration
Module 7. Statement of Applicability Development
Build defensible, adaptable SoAs for diverse deployments.
12 chapters in this module
- SoA structure and purpose
- Determining applicability
- Justification for exclusions
- Control implementation status
- Tailoring for client context
- SoA review cycles
- Version history tracking
- Integration with risk register
- Automated SoA updates
- Cross-project consistency
- Audit preparation
- Stakeholder feedback loop
Module 8. Internal Review and Audit Preparation
Prepare for internal and external validation of AI governance.
12 chapters in this module
- Internal audit planning
- Audit checklist development
- Evidence collection system
- Gap identification
- Remediation tracking
- External auditor coordination
- Audit communication strategy
- Findings management
- Corrective action process
- Continuous improvement loop
- Audit timeline alignment
- Lessons learned documentation
Module 9. Continuous Improvement Mechanisms
Embed feedback and adaptation into AI governance systems.
12 chapters in this module
- Performance metric selection
- KPI tracking for AI governance
- Feedback collection design
- Incident learning integration
- Model performance monitoring
- Stakeholder satisfaction surveys
- Benchmarking against peers
- Process refinement cycles
- Technology change adaptation
- Regulatory update integration
- Lessons from audits
- Improvement roadmap
Module 10. Scaling Governance Across Organizations
Extend AI governance from single projects to enterprise-wide systems.
12 chapters in this module
- Scaling from pilot to program
- Centralized vs distributed models
- Shared services design
- Center of excellence setup
- Training and enablement
- Change management
- Tooling standardization
- Vendor management
- Budgeting for scale
- Leadership alignment
- Cross-functional integration
- Metrics for expansion
Module 11. Client Engagement and Advisory Delivery
Deliver high-impact consulting using repeatable governance assets.
12 chapters in this module
- Scoping client engagements
- Proposal development
- Stakeholder interview design
- Gap assessment delivery
- Remediation roadmap creation
- Workshop facilitation
- Executive reporting
- Client-specific playbooks
- Engagement handover
- Pricing governance work
- Referenceable outcomes
- Client feedback integration
Module 12. Building a Compounding Governance Practice
Turn individual project success into long-term practitioner leverage.
12 chapters in this module
- IP library development
- Template evolution strategy
- Knowledge transfer design
- Personal brand in AI governance
- Speaking and publishing
- Internal advocacy
- Mentorship framework
- Career path integration
- Multi-employer reuse
- Asset ownership boundaries
- Licensing considerations
- Long-term maintenance
How this maps to your situation
- New client onboarding
- Internal governance rollout
- Audit preparation cycle
- Cross-functional initiative
Before vs. after
Before
Rebuilding foundational documents for each engagement, working in isolation, limited reuse of past work
After
Leveraging a growing library of proven artefacts, accelerating delivery, increasing advisory impact across clients
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 6-8 weeks while working full-time
If nothing changes
Without a system to capture and reuse governance work, even top performers remain time-constrained, repeating effort instead of scaling their impact
How this compares to the alternatives
Unlike generic compliance courses, this program delivers field-tested templates and a documented methodology tailored to senior consultants leading AI governance in complex environments
Frequently asked
Is this course relevant if my client isn’t pursuing ISO 42001 certification?
Yes. The frameworks and artefacts are designed to add value even when formal certification isn’t the goal, especially in advisory, architecture, and risk assessment work.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will the templates work for non-technical stakeholders?
Yes. Templates include both technical depth and executive-facing summaries, designed for cross-functional use.
$199 one-time. Approximately 3 hours per module, designed for completion within 6-8 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