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DAT0723 Mastering ISO 42001 for Senior Global Risk Leaders

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Global Risk Leaders

A tailored course to build definitive authority in AI governance implementation.

$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.
Avoiding rework loops on AI governance deliverables

The situation this course is for

High-performing practitioners lose momentum when their outputs require multiple rounds of review or need senior sign-off to move forward. This stalls influence and obscures contribution.

Who this is for

Senior risk and compliance leaders at global professional services firms leading AI governance frameworks, ISO implementation, and cross-jurisdictional policy design.

Who this is not for

Junior analysts, IT auditors focused on checklist compliance, or practitioners without decision-level input on governance standards.

What you walk away with

  • Make binding decisions on AI risk classification and documentation standards
  • Produce audit-ready artefacts that clear review cycles on first submission
  • Own the full ISO 42001 control mapping without escalation
  • Lead cross-functional alignment on AI governance thresholds without deferring to leadership
  • Ship approved charters and implementation playbooks used across engagements

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in Professional Services
Establish how ISO 42001 applies uniquely to advisory firms with global compliance obligations and multi-jurisdictional clients.
12 chapters in this module
  1. Understanding the scope of AI governance in consulting environments
  2. How ISO 42001 differs from ISO 27001 in practice
  3. Mapping firm-level risk appetite to AI control standards
  4. Global regulatory alignment: NIS2, GDPR, and AI Act overlaps
  5. Client engagement boundaries for AI assurance work
  6. Integrating ISO 42001 with existing the firm methodology
  7. Defining internal vs. external governance responsibilities
  8. Identifying high-leverage control areas for fast rollout
  9. Roles and responsibilities in AI governance implementation
  10. Establishing decision rights for policy exceptions
  11. Documenting governance boundaries for audit readiness
  12. Building internal consensus before first draft release
Module 2. Establishing AI Risk Classification Frameworks
Define risk tiers for AI systems based on impact, data sensitivity, and deployment scope.
12 chapters in this module
  1. Criteria for low, medium, and high-risk AI categorisation
  2. Building decision trees for model classification
  3. Incorporating client industry into risk scoring
  4. Handling dual-use technologies in advisory contexts
  5. Weighting data types in AI risk calculation
  6. Aligning risk tiers with internal audit frequency
  7. Defining override protocols for edge cases
  8. Documenting rationale for classification decisions
  9. Integrating human oversight thresholds by level
  10. Setting re-evaluation triggers for model updates
  11. Managing third-party model risk classification
  12. Producing auditable classification logs
Module 3. Ownership of AI Governance Charter Development
Lead the creation of firm-endorsed charters that define authority, scope, and enforcement.
12 chapters in this module
  1. Structuring governance charter purpose and audience
  2. Defining reporting lines and escalation paths
  3. Setting enforcement mechanisms for non-compliance
  4. Including cross-functional stakeholders in charter design
  5. Writing charter language that survives leadership changes
  6. Balancing flexibility with compliance rigour
  7. Documenting decision-making authority by domain
  8. Incorporating ethics review requirements
  9. Establishing review and update cycles
  10. Securing baseline sign-off without senior escalation
  11. Versioning and change tracking for charters
  12. Translating charters into operational checklists
Module 4. Control Mapping for AI System Lifecycle
Map ISO 42001 controls across design, training, validation, deployment, and monitoring phases.
12 chapters in this module
  1. Identifying control points in AI model development
  2. Integrating data provenance tracking
  3. Setting validation requirements for synthetic data
  4. Documenting bias testing protocols
  5. Establishing human-in-the-loop requirements
  6. Defining monitoring thresholds for drift detection
  7. Setting decommissioning criteria for AI models
  8. Mapping access controls to user roles
  9. Integrating incident response playbooks
  10. Ensuring audit trail completeness
  11. Validating control effectiveness post-deployment
  12. Maintaining control maps across model versions
Module 5. Final Sign-Off Authority on Model Documentation
Exercise independent judgment on whether AI documentation meets firm and regulatory standards.
12 chapters in this module
  1. Defining minimum viable documentation standards
  2. Setting evidence requirements for training data
  3. Validating model assumptions and limitations
  4. Reviewing testing methodology adequacy
  5. Approving or rejecting third-party documentation
  6. Establishing template compliance checks
  7. Setting escalation paths for incomplete submissions
  8. Documenting review rationale for audit purposes
  9. Managing version control for living documents
  10. Integrating peer feedback without ceding control
  11. Setting deadlines for documentation updates
  12. Producing sign-off reports for compliance logs
Module 6. Vendor Integration Protocol Design
Define how external AI tools and platforms are evaluated, approved, and monitored.
12 chapters in this module
  1. Establishing vendor pre-qualification criteria
  2. Conducting technical due diligence on AI providers
  3. Setting data sovereignty requirements
  4. Defining API security standards for integration
  5. Mapping vendor responsibilities in shared models
  6. Setting performance monitoring expectations
  7. Creating exit strategies for vendor relationships
  8. Requiring transparency in model changes
  9. Validating vendor compliance claims
  10. Documenting integration approval decisions
  11. Setting re-evaluation cycles for ongoing use
  12. Managing multi-vendor ecosystem risks
Module 7. Cross-Functional Alignment Without Consensus Loops
Drive agreement across legal, data, security, and business teams without deferring decisions.
12 chapters in this module
  1. Identifying stakeholder influence levels
  2. Defining decision boundaries by function
  3. Running effective governance review sessions
  4. Documenting dissenting views without blocking progress
  5. Setting default positions for unresolved issues
  6. Communicating final decisions with rationale
  7. Creating shared reference materials
  8. Establishing escalation thresholds
  9. Maintaining version control for shared artefacts
  10. Integrating feedback without rework
  11. Tracking action items post-meeting
  12. Building trust through consistent decision patterns
Module 8. Audit-Ready Evidence Pack Assembly
Compile complete, coherent, and defensible documentation packages for internal and external review.
12 chapters in this module
  1. Structuring evidence packs by control objective
  2. Including signed-off policy versions
  3. Attaching testing and validation results
  4. Compiling stakeholder review logs
  5. Including risk classification documentation
  6. Adding vendor assessment records
  7. Ensuring chain-of-custody for sensitive files
  8. Indexing documents for rapid retrieval
  9. Verifying completeness against ISO 42001 checklist
  10. Preparing executive summary for reviewers
  11. Formatting packs for regulator submission
  12. Maintaining evidence integrity over time
Module 9. Managing AI Incident Response Protocols
Lead the response to AI system failures, bias events, or performance degradation.
12 chapters in this module
  1. Defining incident severity levels
  2. Setting reporting timeframes for anomalies
  3. Identifying response team composition
  4. Documenting root cause analysis methodology
  5. Setting public disclosure thresholds
  6. Integrating legal and comms teams
  7. Creating post-incident review templates
  8. Updating control maps based on findings
  9. Tracking remediation actions to closure
  10. Preserving incident logs for audit
  11. Testing response plans through simulation
  12. Improving protocols based on lessons learned
Module 10. Continuous Monitoring and Improvement Cycles
Maintain governance standards through automated checks and scheduled reviews.
12 chapters in this module
  1. Setting KPIs for AI governance effectiveness
  2. Integrating monitoring into CI/CD pipelines
  3. Creating dashboards for control health
  4. Scheduling periodic control validation
  5. Updating policies based on emerging risks
  6. Incorporating lessons from audit findings
  7. Benchmarking against industry standards
  8. Reviewing third-party dependencies
  9. Assessing model performance degradation
  10. Updating training materials based on gaps
  11. Tracking maturity progression over time
  12. Reporting improvements to leadership
Module 11. Knowledge Transfer and Playbook Maintenance
Ensure governance standards survive personnel changes and project cycles.
12 chapters in this module
  1. Creating searchable knowledge bases
  2. Documenting decision rationales for future use
  3. Building onboarding materials for new staff
  4. Establishing ownership for playbook updates
  5. Setting review cycles for living documents
  6. Integrating lessons from past engagements
  7. Versioning control for implementation guides
  8. Creating template libraries for common use cases
  9. Training junior staff on decision frameworks
  10. Capturing stakeholder feedback
  11. Improving usability of governance materials
  12. Ensuring accessibility across regions
Module 12. Scaling Governance Across Advisory Engagements
Reuse and adapt governance frameworks across client projects and internal initiatives.
12 chapters in this module
  1. Identifying transferable control components
  2. Adapting frameworks to client industry
  3. Setting customization boundaries
  4. Maintaining consistency across engagements
  5. Packaging firm IP for reuse
  6. Training engagement teams on governance
  7. Monitoring compliance with internal standards
  8. Capturing client feedback for improvement
  9. Measuring adoption across projects
  10. Reporting governance impact to leadership
  11. Driving continuous refinement
  12. Establishing communities of practice

How this maps to your situation

  • Leading AI governance in global professional services
  • Implementing ISO 42001 in advisory firms
  • Managing cross-jurisdictional compliance
  • Driving consistency across client engagements

Before vs. after

Before
Deliverables stuck in review loops, needing repeated sign-offs and adjustments.
After
One-and-done artefacts with clear ownership and immediate acceptance.

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: 90 minutes per week over six weeks, designed for senior practitioners with active governance responsibilities.

If nothing changes
Continued reliance on consensus-driven cycles slows impact, limits visibility, and reduces perceived authority in high-stakes advisory roles.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses on decision ownership, real-world artefact creation, and firm-level implementation patterns tailored to advisory professionals.

Frequently asked

Is this course relevant to non-technical risk leaders?
Yes. It’s designed for senior advisory practitioners who make judgment calls on governance standards, not engineers implementing controls.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use the materials across engagements?
Yes. Templates and playbooks are designed for reuse and adaptation across client work.
$199 one-time. 90 minutes per week over six weeks, designed for senior practitioners with active governance responsibilities..

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
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