Skip to main content
Image coming soon

CMP2180 Mastering ISO 42001 for Senior Risk and Compliance Executives

$201.00
Adding to cart… The item has been added

What is the ISO 42001 for Senior Risk course about?

Without a structured, standards-aligned framework, even senior practitioners face rework, delayed sign-offs, and diluted ownership when scaling AI governance across compliance functions.

What situation is the ISO 42001 for Senior Risk for?

Without a structured, standards-aligned framework, even senior practitioners face rework, delayed sign-offs, and diluted ownership when scaling AI governance across compliance functions.

Who is the ISO 42001 for Senior Risk course for?

Senior risk, audit, and compliance executives with first-100-day mandates in new roles, responsible for standing up or modernizing enterprise AI governance under ISO 42001.

What do you take away from the ISO 42001 for Senior Risk course?

Own final determination on control applicability within ISO 42001 Annex A Set binding policy on third-party AI vendor compliance thresholds Approve or modify internal audit triggers for AI system reviews Document and enforce update cycles for AI risk registers without leadership review Lead cross-functional sign-off on AI governance exceptions using structured templates.

How does this map to your situation?

Standing up AI governance in a new executive role Modernizing legacy risk frameworks for AI integration Responding to regulator expectations on AI oversight Driving consistency across distributed compliance 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.

What does the ISO 42001 for Senior Risk cover on delivery and format?

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 8, 10 hours total, designed for completion over two weeks with executive availability.

How does this compare to the alternatives?

Unlike generic compliance courses, this program delivers a role-specific, decision-enabling playbook for ISO 42001 , not awareness, but actionable authority.

Closely related courses: ISO 31000 for Senior Operations Executives, ISO 42001 for Senior Compliance Executives, ISO 42001 for Senior Governance Executives, ISO 42001 for Senior Executive Practitioners.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 42001 for Senior Risk and Compliance Executives

Turn AI governance standards into operationally enforceable controls with precision and confidence.

$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.
Most risk executives inherit fragmented AI governance playbooks that dilute decision authority and require constant executive buy-in for routine control changes.

The situation this course is for

Without a structured, standards-aligned framework, even senior practitioners face rework, delayed sign-offs, and diluted ownership when scaling AI governance across compliance functions.

Who this is for

Senior risk, audit, and compliance executives with first-100-day mandates in new roles, responsible for standing up or modernizing enterprise AI governance under ISO 42001.

Who this is not for

Individual contributors without decision rights, consultants selling external frameworks, or teams focused only on technical AI model validation.

What you walk away with

  • Own final determination on control applicability within ISO 42001 Annex A
  • Set binding policy on third-party AI vendor compliance thresholds
  • Approve or modify internal audit triggers for AI system reviews
  • Document and enforce update cycles for AI risk registers without leadership review
  • Lead cross-functional sign-off on AI governance exceptions using structured templates

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 Scope and Organizational Fit
Define where ISO 42001 applies across AI systems and decision touchpoints in your risk and compliance function.
12 chapters in this module
  1. Overview of ISO 42001 structure
  2. Mapping AI governance to enterprise risk domains
  3. Determining control ownership boundaries
  4. Aligning with internal audit mandate
  5. Integrating with existing compliance frameworks
  6. Identifying AI-specific risk tiers
  7. Stakeholder decision matrix
  8. Control delegation principles
  9. Vendor governance thresholds
  10. Documenting policy scope
  11. Version control for framework updates
  12. First-line vs second-line accountabilities
Module 2. Establishing Control Ownership Framework
Designate who owns each AI control decision and how authority flows without escalation.
12 chapters in this module
  1. Defining control owners for Annex A items
  2. Creating delegation rules for AI use cases
  3. Setting approval tiers for risk exceptions
  4. Documenting sign-off authority
  5. Escalation paths for non-routine cases
  6. Final call on control design changes
  7. Ownership of AI risk assessment templates
  8. Authority on control testing frequency
  9. Vendor audit approval process
  10. Policy change control process
  11. Internal communication of ownership
  12. Tracking ownership transitions
Module 3. Designing AI Risk Assessment Methodology
Build a repeatable process to assess AI risks that aligns with ISO 42001 and internal audit requirements.
12 chapters in this module
  1. Risk categories for AI systems
  2. Scoring model development
  3. Identifying high-risk AI applications
  4. Thresholds for independent review
  5. Documentation standards for assessments
  6. Integration with existing risk registers
  7. Updating assessments post-deployment
  8. AI model drift monitoring
  9. Third-party risk scoring
  10. Risk acceptance criteria
  11. Review cycles and triggers
  12. Reporting to executive committees
Module 4. Implementing Policy Framework for AI Governance
Develop enforceable policies that reflect ISO 42001 requirements and internal control expectations.
12 chapters in this module
  1. Creating AI governance charter
  2. Policy on AI system registration
  3. Approval process for new AI use cases
  4. Transparency and documentation rules
  5. Human oversight requirements
  6. Bias and fairness expectations
  7. Data quality standards
  8. Model validation thresholds
  9. Incident response protocols
  10. Third-party compliance audits
  11. Policy exception handling
  12. Version control and review cycles
Module 5. Vendor and Third-Party AI Compliance Oversight
Establish clear expectations and enforcement mechanisms for external AI providers.
12 chapters in this module
  1. Vendor classification by risk tier
  2. Contractual clauses for ISO 42001 alignment
  3. Audit rights and access provisions
  4. Evidence requirements from vendors
  5. Onsite vs remote assessment planning
  6. Remediation timelines for gaps
  7. Sign-off authority on vendor acceptance
  8. Ongoing compliance monitoring
  9. Performance impact of non-compliance
  10. Termination triggers for vendors
  11. Reporting vendor status to leadership
  12. Benchmarking against industry peers
Module 6. Internal Audit Integration and Testing Strategy
Define how internal audit engages with AI governance controls and validates compliance.
12 chapters in this module
  1. Audit scope definition for AI systems
  2. Sampling methodology for AI controls
  3. Testing evidence requirements
  4. Exception handling process
  5. Reporting format standardization
  6. Audit frequency by risk tier
  7. Coordination with external auditors
  8. Remediation tracking system
  9. Sign-off on audit closure
  10. Cross-functional issue resolution
  11. Continuous monitoring integration
  12. Annual control review planning
Module 7. Training and Awareness for AI Governance
Roll out targeted education to ensure consistent understanding and application of AI controls.
12 chapters in this module
  1. Identifying training audiences
  2. Developing role-specific modules
  3. Onboarding AI developers
  4. Annual refresher requirements
  5. Tracking completion rates
  6. Assessment of training effectiveness
  7. Internal communications strategy
  8. Leadership engagement sessions
  9. AI risk awareness campaigns
  10. Reporting training metrics
  11. Updating content with framework changes
  12. Feedback collection and improvement
Module 8. Documentation and Recordkeeping Standards
Ensure all AI governance activities are properly recorded and retrievable for audit and review.
12 chapters in this module
  1. Required documentation inventory
  2. Retention periods by record type
  3. Secure storage locations
  4. Access control for records
  5. Versioning of policies and controls
  6. Audit trail requirements
  7. External evidence collection
  8. Record transfer during role changes
  9. Annual review of archives
  10. Cross-border data considerations
  11. Legal hold procedures
  12. Automated archiving triggers
Module 9. Continuous Monitoring and Improvement Cycle
Implement ongoing checks and feedback loops to keep AI governance current and effective.
12 chapters in this module
  1. Real-time monitoring tools
  2. Key control performance indicators
  3. Automated alerting rules
  4. Monthly control health reviews
  5. Feedback from incident reports
  6. Updates from regulatory changes
  7. Benchmarking against standards
  8. Lessons learned integration
  9. Stakeholder satisfaction surveys
  10. Control effectiveness metrics
  11. Adjustment of risk thresholds
  12. Quarterly governance review
Module 10. Incident Response and Breach Management
Define clear procedures for responding to AI-related incidents or compliance failures.
12 chapters in this module
  1. Incident classification framework
  2. Escalation paths for AI issues
  3. Response team composition
  4. Communication protocols
  5. Legal and regulatory reporting
  6. Root cause analysis process
  7. Remediation tracking
  8. Public statement guidelines
  9. Internal post-mortem review
  10. Control updates post-incident
  11. Regulator engagement plan
  12. Documentation of response actions
Module 11. Leadership Reporting and Executive Engagement
Structure reporting to keep executives informed and aligned on AI governance posture.
12 chapters in this module
  1. Executive dashboard design
  2. Reporting frequency by level
  3. Key metrics to track
  4. Risk appetite alignment
  5. Resource allocation requests
  6. Benchmarking narratives
  7. Strategic initiative updates
  8. Regulatory change summaries
  9. Incident reporting protocols
  10. Audit finding summaries
  11. Governance maturity scoring
  12. Annual reporting cycle
Module 12. Sustaining ISO 42001 Compliance Over Time
Ensure long-term adherence to AI governance standards through structured renewal and review.
12 chapters in this module
  1. Annual control review process
  2. Framework update integration
  3. Leadership transition planning
  4. Succession for control owners
  5. External audit preparation
  6. Certification maintenance
  7. Benchmarking against new standards
  8. Lessons from peer organizations
  9. Technology change impacts
  10. Policy refresh cycles
  11. Stakeholder feedback integration
  12. Multi-year governance roadmap

How this maps to your situation

  • Standing up AI governance in a new executive role
  • Modernizing legacy risk frameworks for AI integration
  • Responding to regulator expectations on AI oversight
  • Driving consistency across distributed compliance teams

Before vs. after

Before
Waiting for approvals on AI control changes, reworking policies due to misalignment, and reacting to audit findings after deployment.
After
Making binding decisions on AI governance scope, vendor compliance, and audit triggers, documented, defensible, and operational from day one.

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 8, 10 hours total, designed for completion over two weeks with executive availability.

If nothing changes
Continuing with ad-hoc AI governance increases exposure to regulatory scrutiny, audit qualifications, and operational inefficiencies that erode executive confidence.

How this compares to the alternatives

Unlike generic compliance courses, this program delivers a role-specific, decision-enabling playbook for ISO 42001 , not awareness, but actionable authority.

Frequently asked

Who is this course designed for?
Senior risk, audit, and compliance executives with decision authority over AI governance frameworks and internal control structures.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me gain formal authority?
This course equips you to operationalize and document existing authority while creating clear justification for expanding decision rights within your role.
$199 one-time. Approximately 8, 10 hours total, designed for completion over two weeks with executive availability..

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
!