Skip to main content
Image coming soon

DAT5515 Mastering ISO 42001 for Senior Business Transformation Leaders

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Mastering ISO 42001 for Senior Business Transformation Leaders

Build AI governance frameworks faster with a proven, standards-aligned approach

$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.
Even experienced leaders struggle to turn AI governance mandates into working frameworks quickly, especially under time pressure from rapid AI adoption.

The situation this course is for

Organizations are rushing to adopt AI, but governance lags. Leaders are asked to deliver structured oversight, yet lack a repeatable method to align legal, risk, engineering, and compliance teams. Drafts stall, feedback loops repeat, and board-level visibility stalls. Without a clear blueprint, even strong initiatives fail to ship on time.

Who this is for

Senior business transformation leaders in enterprise tech organizations driving AI governance, compliance, or cross-functional change initiatives.

Who this is not for

Individual contributors without decision authority, consultants not embedded in an enterprise, or practitioners focused solely on non-AI governance domains.

What you walk away with

  • Ship an ISO 42001-compliant AI governance framework in under eight weeks
  • Align legal, risk, compliance, and engineering teams using pre-built stakeholder maps
  • Deploy a working governance model with policy clauses, control matrices, and audit trails
  • Produce an implementation playbook accepted by internal audit and leadership
  • Move from abstract mandate to executive-ready artefact without rework loops

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 Scope and Relevance for Enterprise AI
Establish foundational knowledge of ISO 42001, its structure, and how it applies specifically to large-scale AI systems in enterprise environments.
12 chapters in this module
  1. What ISO 42001 Means for Business Transformation Leaders
  2. Key Differences Between ISO 42001 and Previous Governance Standards
  3. Mapping ISO 42001 Clauses to AI Lifecycle Stages
  4. How BlackRock's AI Infrastructure Outlook Impacts Governance Timelines
  5. Defining the Boundaries of Your AI Governance Program
  6. Identifying Internal Stakeholders Influenced by ISO 42001
  7. Reviewing Real-World AI Governance Gaps Identified in Audits
  8. Assessing Organizational Readiness for ISO 42001 Adoption
  9. Benchmarking Current Practices Against ISO 42001 Requirements
  10. Prioritizing Governance Initiatives Based on AI Risk Exposure
  11. Creating a Governance Charter Aligned with ISO 42001
  12. Documenting Initial Scope and Approval Signatures
Module 2. Initiating the AI Governance Framework Design Process
Launch the framework development with structured planning, stakeholder alignment, and governance charter sign-off.
12 chapters in this module
  1. Defining the Purpose and Objectives of Your AI Governance Framework
  2. Engaging Legal and Compliance Teams Early in the Process
  3. Building a Cross-Functional Governance Working Group
  4. Setting Realistic Timelines for Framework Development
  5. Establishing Communication Protocols Across Departments
  6. Creating a Governance Roadmap with Milestone Checkpoints
  7. Aligning ISO 42001 Goals with Organizational Strategy
  8. Documenting Assumptions and Constraints Upfront
  9. Securing Executive Sponsorship and Support
  10. Developing a Risk-Based Approach to Governance Scope
  11. Integrating Feedback Loops into Initial Planning
  12. Finalizing the Governance Charter for Leadership Review
Module 3. Mapping Organizational Roles and Responsibilities
Define clear ownership and accountability across teams involved in AI development and deployment.
12 chapters in this module
  1. Identifying All Parties Involved in AI System Lifecycle
  2. Assigning Accountability Under ISO 42001 Clause 6.3
  3. Clarifying Roles Between Data Scientists and Risk Officers
  4. Establishing Governance Oversight Functions
  5. Defining Escalation Paths for Ethical AI Concerns
  6. Integrating Vendor Management into Responsibility Mapping
  7. Creating a RACI Matrix for Governance Activities
  8. Aligning Responsibility Assignments with HR Structures
  9. Documenting Authority Levels for Policy Enforcement
  10. Ensuring Legal Review of Role Definitions
  11. Communicating Responsibilities to Technical Teams
  12. Updating Org Charts to Reflect Governance Roles
Module 4. Assessing AI Systems and Defining Governance Boundaries
Classify existing and planned AI systems to determine which require formal governance.
12 chapters in this module
  1. Inventorying Current AI and Machine Learning Models
  2. Classifying AI Systems by Risk Level and Impact
  3. Using ISO 42001 Annex A for System Categorization
  4. Determining Which Systems Fall Under Governance Scope
  5. Documenting AI Use Cases and Decision-Making Logic
  6. Evaluating Data Provenance and Training Set Integrity
  7. Assessing Third-Party AI Components and Dependencies
  8. Creating System Boundary Diagrams for Compliance
  9. Defining Exemptions and Justification Criteria
  10. Establishing Review Cadence for New AI Deployments
  11. Integrating AI Inventory with Existing Asset Registers
  12. Validating Assessments with Engineering Leads
Module 5. Developing AI Governance Policies and Principles
Draft comprehensive policies that reflect organizational values and meet ISO 42001 requirements.
12 chapters in this module
  1. Drafting an AI Ethics and Responsible Use Statement
  2. Establishing Fairness and Non-Discrimination Guidelines
  3. Defining Transparency and Explainability Expectations
  4. Setting Human Oversight Requirements for Critical Decisions
  5. Creating Data Privacy and Protection Rules for AI
  6. Outlining Model Monitoring and Performance Thresholds
  7. Developing Incident Response Protocols for AI Failures
  8. Integrating Bias Detection and Mitigation Procedures
  9. Ensuring Policies Comply with Regional Regulations
  10. Aligning Language with Industry-Specific Standards
  11. Reviewing Drafts with Legal and Compliance Teams
  12. Finalizing Policies for Executive Approval
Module 6. Designing Control Frameworks for AI Risk Management
Build operational controls to manage risks associated with AI development and deployment.
12 chapters in this module
  1. Translating ISO 42001 Clauses into Actionable Controls
  2. Mapping Controls to Specific AI Lifecycle Phases
  3. Establishing Model Validation and Testing Requirements
  4. Defining Data Quality and Integrity Controls
  5. Implementing Change Management for AI Models
  6. Creating Access Control and Authentication Rules
  7. Setting Logging and Audit Trail Standards
  8. Developing Monitoring Dashboards for Live Models
  9. Ensuring Controls Are Testable and Measurable
  10. Integrating Controls with Existing Security Frameworks
  11. Conducting Control Gap Analysis Against ISO 42001
  12. Documenting Control Implementation Status
Module 7. Integrating Governance into Development Workflows
Embed governance requirements into software development and DevOps processes.
12 chapters in this module
  1. Aligning AI Governance with SDLC Methodologies
  2. Introducing Governance Gates in Development Pipelines
  3. Creating Pre-Deployment Checklists for AI Models
  4. Automating Policy Compliance Checks in CI/CD
  5. Training Developers on Governance Expectations
  6. Establishing Peer Review Requirements for AI Code
  7. Integrating Model Cards into Development Artifacts
  8. Setting Documentation Standards for Reproducibility
  9. Enforcing Version Control for AI Components
  10. Linking Governance Steps to Jira or Ticketing Systems
  11. Auditing Workflow Integration Effectiveness
  12. Iterating on Process Feedback from Engineering Teams
Module 8. Building Accountability and Audit Readiness
Prepare for internal and external audits with structured documentation and traceability.
12 chapters in this module
  1. Designing Audit Trails for AI Decision-Making
  2. Documenting Policy Enforcement Actions
  3. Maintaining Records of Model Performance Reviews
  4. Creating Evidence Packs for ISO 42001 Auditors
  5. Establishing Retention Policies for AI Artifacts
  6. Ensuring Data Logs Are Tamper-Proof and Secure
  7. Mapping Controls to ISO 42001 Audit Criteria
  8. Conducting Mock Audits to Test Preparedness
  9. Training Staff on Audit Response Procedures
  10. Integrating Findings into Continuous Improvement
  11. Securing Digital Sign-Offs on Critical Documents
  12. Producing Executive Summary Reports for Oversight
Module 9. Monitoring, Measuring, and Improving Governance Performance
Establish ongoing evaluation mechanisms to ensure the governance framework remains effective.
12 chapters in this module
  1. Defining KPIs for AI Governance Effectiveness
  2. Tracking Model Accuracy and Drift Over Time
  3. Measuring Compliance with Internal Policies
  4. Gathering Stakeholder Feedback on Governance Processes
  5. Conducting Regular Risk Assessments for AI Systems
  6. Reviewing Incident Reports for Systemic Gaps
  7. Benchmarking Against Peer Organizations
  8. Using Dashboards to Visualize Governance Health
  9. Scheduling Periodic Framework Reviews
  10. Incorporating Lessons Learned from Failures
  11. Updating Policies Based on Emerging Risks
  12. Reporting Metrics to Senior Leadership
Module 10. Communicating Governance Framework to Stakeholders
Develop messaging strategies to build trust and ensure adoption across the organization.
12 chapters in this module
  1. Creating Executive Summaries of Governance Framework
  2. Developing Training Materials for Non-Technical Staff
  3. Hosting Governance Awareness Sessions
  4. Publishing Internal FAQs About AI Oversight
  5. Preparing Responses for External Inquiries
  6. Aligning Messaging with Brand and Values
  7. Communicating with Investors About AI Risk
  8. Creating Transparency Reports for Public Release
  9. Handling Media Requests on AI Ethics
  10. Measuring Internal Uptake of Governance Principles
  11. Addressing Misconceptions About AI Oversight
  12. Building a Culture of Responsible Innovation
Module 11. Maintaining and Updating the AI Governance Framework
Ensure long-term sustainability of the governance model through structured maintenance.
12 chapters in this module
  1. Establishing a Change Management Process for Policies
  2. Scheduling Regular Review Cycles for All Documents
  3. Tracking Regulatory Updates That Affect AI
  4. Incorporating New ISO Technical Reports
  5. Updating Training Materials with New Examples
  6. Revising Control Frameworks Based on Incident Data
  7. Conducting Annual Governance Maturity Assessments
  8. Engaging External Experts for Framework Review
  9. Refreshing Stakeholder Maps and Responsibilities
  10. Archiving Obsolete Policies and Guidelines
  11. Documenting Version Histories for Traceability
  12. Ensuring Continuity During Leadership Transitions
Module 12. Achieving ISO 42001 Certification Readiness
Prepare for formal certification with final documentation and gap closure.
12 chapters in this module
  1. Conducting Final Gap Analysis Against ISO 42001
  2. Preparing Documentation for External Auditors
  3. Validating Evidence Across All Clauses
  4. Scheduling Stage 1 Certification Audit
  5. Addressing Findings from Preliminary Audits
  6. Training Internal Teams on Audit Procedures
  7. Finalizing Implementation Playbook for Handover
  8. Submitting Application for ISO 42001 Certification
  9. Coordinating with Certification Bodies
  10. Planning for Surveillance Audits Post-Certification
  11. Celebrating Certification Achievement
  12. Planning Next Steps Beyond ISO 42001

How this maps to your situation

  • Leading AI governance in a fast-scaling tech enterprise
  • Delivering structured frameworks amid decentralized innovation
  • Aligning compliance with aggressive AI deployment timelines
  • Establishing credibility as a trusted governance architect

Before vs. after

Before
Starting from scratch every time, juggling stakeholder expectations, and struggling to turn policy into auditable action on time.
After
Confidently delivering an ISO 42001-compliant AI governance framework in under eight weeks, with stakeholder alignment, audit-ready evidence, and executive visibility.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters total)
  • 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 90 minutes per week over eight weeks, with flexible access to all materials.

If nothing changes
Without a structured approach, AI governance initiatives stall, lose credibility, and fail to keep pace with deployment velocity , leaving organizations exposed to regulatory scrutiny and reputational harm.

How this compares to the alternatives

Unlike generic AI ethics guides or high-level compliance overviews, this course delivers a step-by-step, ISO 42001-specific implementation path with actionable templates and real-world examples tailored to enterprise transformation leaders.

Frequently asked

How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course suitable for non-technical leaders?
Yes, it's designed for senior business transformation leaders who need to deliver governance frameworks without requiring deep technical expertise.
Do I need prior experience with ISO standards?
No , the course builds from foundational knowledge and assumes no prior ISO experience.
$199 one-time. Approximately 90 minutes per week over eight weeks, with flexible access to all materials..

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
!