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CMP5295 Mastering ISO 42001 for Senior Corporate Secretaries in High-Compliance Traded Entities

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Corporate Secretaries in High-Compliance Traded Entities

Build authoritative command of AI governance standards with structured implementation pathways tailored to executive support roles.

$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.
Overwhelmed by cross-functional compliance demands and shifting auditor expectations

The situation this course is for

The rise of AI governance mandates is increasing documentation pressure on executive offices. Secretaries are now expected to produce auditable evidence that aligns technical implementation with board-level risk posture, without direct authority over engineering teams.

Who this is for

Senior corporate secretary or executive assistant in a publicly traded or highly regulated firm, responsible for coordinating compliance documentation, audit readiness, and leadership certifications.

Who this is not for

Entry-level admins, technical AI builders, or consultants without exposure to executive-facing compliance cycles.

What you walk away with

  • Map ISO 42001 controls to internal documentation requirements with precision
  • Lead internal evidence collection without direct line authority
  • Pre-frame audit responses using leadership-aligned language
  • Deliver ISO 42001 Statements of Applicability on schedule
  • Build a reusable playbook for future framework adoption

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 and Its Relevance to Executive Leadership
Establish foundational knowledge of ISO 42001's structure, intent, and alignment with executive accountability. Learn how the standard redefines the role of non-technical leaders in AI governance.
12 chapters in this module
  1. Overview of ISO 42001 scope and structure
  2. How AI governance intersects with executive oversight
  3. Key articles referencing presidential certification
  4. Differences between ISO 42001 and SOC 2 AI modules
  5. Mapping clauses to corporate secretary responsibilities
  6. The role of attestation in framework compliance
  7. Common misconceptions about technical vs administrative controls
  8. Identifying internal stakeholders for input
  9. How ISO 42001 complements ISO 9001 and ISO 27001
  10. Framework lifecycle expectations for traded firms
  11. Evidence types required for leadership attestations
  12. Navigating clause dependencies in documentation
Module 2. Establishing the Governance Foundation for AI Systems
Define governance roles and responsibilities specific to AI systems, including oversight mechanisms, policy frameworks, and leadership engagement strategies.
12 chapters in this module
  1. Defining AI system governance at the executive level
  2. Assigning roles: owner, steward, reviewer, approver
  3. Creating governance charters aligned with ISO 42001
  4. Documenting decision rights for AI deployment
  5. Linking AI oversight to existing compliance bodies
  6. Executive communication protocols for governance
  7. Establishing escalation paths for AI incidents
  8. Maintaining governance continuity during transitions
  9. Aligning with external auditor expectations
  10. Integrating governance into board-level reporting
  11. Scheduling recurring governance reviews
  12. Tracking governance maturity over time
Module 3. Risk Assessment and Management for AI Implementations
Guide leadership teams through structured risk identification, classification, and mitigation planning for AI systems under ISO 42001.
12 chapters in this module
  1. Conducting AI-specific risk assessments
  2. Classifying risks by impact and likelihood
  3. Developing risk treatment plans
  4. Mapping risks to ISO 42001 control objectives
  5. Engaging legal and compliance stakeholders
  6. Maintaining risk register documentation
  7. Using risk findings to shape policy updates
  8. Integrating risk assessments into audit cycles
  9. Aligning with NIST AI Risk Management Framework
  10. Reporting risk posture to executive leadership
  11. Updating assessments after system changes
  12. Archiving historical risk decisions
Module 4. AI System Lifecycle Management and Documentation
Design end-to-end documentation flows for AI systems from development to decommissioning, ensuring audit readiness at each stage.
12 chapters in this module
  1. Mapping the AI system lifecycle to ISO 42001
  2. Documenting design and development phases
  3. Capturing training data provenance and quality
  4. Recording model selection and validation steps
  5. Maintaining deployment configuration records
  6. Tracking performance monitoring outputs
  7. Documenting update and retraining procedures
  8. Establishing decommissioning checklists
  9. Version control for AI system documentation
  10. Linking lifecycle stages to control evidence
  11. Creating audit trails for system changes
  12. Ensuring documentation survives personnel changes
Module 5. Human-Centric Design and Oversight of AI Systems
Implement requirements for human oversight, explainability, and ethical design in AI systems as mandated by ISO 42001.
12 chapters in this module
  1. Defining levels of human oversight required
  2. Establishing human-in-the-loop protocols
  3. Designing for explainability and interpretability
  4. Documenting ethical principles in AI use
  5. Conducting human factors reviews
  6. Creating user feedback mechanisms
  7. Ensuring accessibility for diverse users
  8. Auditing for bias mitigation effectiveness
  9. Reviewing adverse outcome response plans
  10. Validating alignment with corporate values
  11. Training staff on human-centric requirements
  12. Reporting oversight effectiveness to leadership
Module 6. Accuracy, Reliability, and Safety Controls for AI
Implement technical and procedural controls to ensure AI systems perform as intended and remain safe under expected conditions.
12 chapters in this module
  1. Setting accuracy benchmarks for AI models
  2. Establishing reliability testing protocols
  3. Designing fail-safe mechanisms for AI operations
  4. Conducting robustness testing under stress
  5. Validating safety claims with evidence
  6. Monitoring for degradation over time
  7. Implementing confidence scoring systems
  8. Auditing control effectiveness annually
  9. Linking safety controls to incident response
  10. Requiring supplier attestations for third-party AI
  11. Documenting safety exceptions and waivers
  12. Updating controls after system modifications
Module 7. Data Management and Information Governance for AI
Ensure compliance with data provenance, quality, and governance requirements specific to AI systems.
12 chapters in this module
  1. Establishing data lineage documentation
  2. Validating data quality for training sets
  3. Ensuring data relevance and representativeness
  4. Documenting data collection methods
  5. Maintaining metadata for AI datasets
  6. Implementing data retention schedules
  7. Protecting sensitive data in AI workflows
  8. Auditing data processing activities
  9. Ensuring compliance with data use agreements
  10. Managing data sharing with third parties
  11. Updating data governance after breaches
  12. Training teams on data stewardship roles
Module 8. Transparency and Explainability in AI Operations
Develop comprehensive transparency documentation and communication strategies for internal and external stakeholders.
12 chapters in this module
  1. Creating public-facing AI disclosures
  2. Documenting model architecture decisions
  3. Recording hyperparameter selection rationale
  4. Explaining model behavior in non-technical terms
  5. Publishing update policies and versioning
  6. Maintaining change logs for model iterations
  7. Providing access to documentation upon request
  8. Auditing transparency compliance annually
  9. Responding to stakeholder inquiries effectively
  10. Aligning disclosures with marketing claims
  11. Updating transparency materials after audits
  12. Ensuring language accessibility in disclosures
Module 9. Accountability Frameworks and Audit Readiness
Prepare for internal and external audits by establishing clear accountability chains and evidence repositories.
12 chapters in this module
  1. Mapping controls to audit requirements
  2. Creating centralized evidence repositories
  3. Assigning ownership for control evidence
  4. Conducting pre-audit validation checks
  5. Responding to auditor inquiries promptly
  6. Documenting control operation instances
  7. Maintaining audit trails for access
  8. Updating controls based on findings
  9. Reporting audit status to executive leadership
  10. Scheduling recurring internal reviews
  11. Training staff on audit response protocols
  12. Archiving completed audit cycles
Module 10. Change Management and Continuous Improvement
Implement structured processes for updating AI systems and governance practices in response to changing conditions.
12 chapters in this module
  1. Establishing change review boards
  2. Requiring impact assessments for updates
  3. Documenting approval workflows
  4. Testing changes before deployment
  5. Updating documentation after changes
  6. Notifying stakeholders of changes
  7. Monitoring post-change performance
  8. Capturing lessons from incidents
  9. Updating training materials regularly
  10. Scheduling periodic framework reviews
  11. Aligning updates with business goals
  12. Maintaining version control for policies
Module 11. Third-Party and Supply Chain Risk Management
Oversee vendor AI systems and external components with appropriate due diligence and contractual safeguards.
12 chapters in this module
  1. Assessing third-party AI compliance posture
  2. Requiring ISO 42001 certification from vendors
  3. Including audit rights in procurement contracts
  4. Validating vendor control evidence
  5. Monitoring third-party performance
  6. Responding to vendor incidents
  7. Maintaining supplier documentation
  8. Conducting on-site assessments when needed
  9. Requiring transparency from AI providers
  10. Managing multi-vendor integrations
  11. Updating risk assessments after vendor changes
  12. Terminating non-compliant relationships
Module 12. Implementation Roadmap and Stakeholder Enablement
Synthesize all components into a leadership-aligned rollout plan with clear milestones and accountability.
12 chapters in this module
  1. Developing phased implementation timeline
  2. Identifying quick-win opportunities
  3. Engaging executive sponsors early
  4. Creating cross-functional task forces
  5. Setting measurable success criteria
  6. Communicating progress to leadership
  7. Providing training for key roles
  8. Documenting initial deployment results
  9. Scaling successful pilots organization-wide
  10. Updating governance based on feedback
  11. Celebrating compliance milestones
  12. Establishing long-term maintenance rhythms

How this maps to your situation

  • Executive-facing compliance coordination
  • Audit-readiness for traded entities
  • Non-technical leadership in technical standards
  • Governance continuity during executive transitions

Before vs. after

Before
Navigating AI governance as an administrative leader without clear methodology or structured resources.
After
Leading ISO 42001 implementation with confidence, producing audit-ready documentation and guiding cross-functional 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: 90 minutes of focused learning, designed to be completed in a single Sunday morning session.

If nothing changes
Without structured command of ISO 42001, executive offices risk delayed certifications, repetitive audit findings, and increased dependency on external consultants for basic compliance tasks.

How this compares to the alternatives

Unlike generic compliance webinars or university courses, this program delivers a sequenced, action-oriented path specifically for non-technical leaders managing AI governance in high-visibility roles.

Frequently asked

Who is this course designed for?
Senior corporate secretaries, executive assistants, and governance coordinators in regulated or publicly traded firms responsible for compliance documentation and audit support.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me prepare for an actual ISO 42001 audit?
Yes. The course provides the exact documentation sequences, stakeholder engagement tactics, and evidence structures used in successful first-time certifications.
$199 one-time. 90 minutes of focused learning, designed to be completed in a single Sunday morning session..

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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