A tailored course, built for your situation
Mastering ISO 42001 for Service Delivery Managers
A complete guide to AI management system implementation with defensible control justification
$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.
Who this is for
Service Delivery Managers in global IT services firms implementing AI governance frameworks
Who this is not for
Individuals seeking introductory AI awareness or non-technical overviews of ethics principles
What you walk away with
- Justify control selections with direct references to ISO 42001 clauses and commentary
- Build internal consensus using documented implementation patterns from peer organizations
- Respond confidently to design queries with annotated examples from the standard
- Construct audit-ready narratives that trace decisions back to source requirements
- Maintain consistency across delivery teams using a shared library of reasoning templates
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and Its Role in Service Delivery
Understand the structure and objectives of ISO 42001, with emphasis on how service delivery leaders interpret and apply the standard in client-facing environments.
12 chapters in this module
- Overview of ISO IEC 42001
- Purpose of an AI Management System
- Service Delivery vs Internal Governance
- Key Terms and Definitions
- Scope and Applicability
- Relationship to Other Standards
- Adoption Trends in IT Services
- Organizational Roles Defined
- Certification Pathways
- Common Implementation Goals
- Change Management Basics
- Stakeholder Alignment
Module 2. Context of the Organization and AI Governance
Map internal and external factors affecting AI system deployment, with focus on contractual and client-specific obligations.
12 chapters in this module
- Understanding Organizational Context
- Identifying External Influences
- Regulatory Landscape Mapping
- Client Expectation Analysis
- Supply Chain Dependencies
- Risk Appetite Definition
- Jurisdictional Variance
- Data Sovereignty Requirements
- Industry-Specific Pressures
- Competitive Positioning
- Internal Capability Audit
- Gap Prioritization Framework
Module 3. Leadership Commitment and Policy Development
Develop leadership-endorsed AI policies that align with service delivery mandates and client SLAs.
12 chapters in this module
- Top Management Responsibilities
- Policy Drafting Principles
- AI Ethics Statement Design
- Accountability Framework Setup
- Delegation of Authority
- Performance Metrics Definition
- Reporting Structure Design
- Resource Allocation Planning
- Policy Approval Workflow
- Version Control Process
- Audit Trail Requirements
- Policy Dissemination Strategy
Module 4. Planning AI Management System Implementation
Design a defensible, phased rollout aligned with existing ITSM processes and program timelines.
12 chapters in this module
- Risk-Based Approach to Planning
- Control Selection Rationale
- Implementation Roadmap Design
- Resource Planning
- Dependency Mapping
- Milestone Definition
- Client Communication Plan
- Change Advisory Board Input
- Knowledge Transfer Planning
- Documentation Standards
- Success Criteria Definition
- Review Cycle Schedule
Module 5. Supporting an AI Management System
Establish communication, awareness, and documentation practices that sustain compliance across teams.
12 chapters in this module
- Internal Communication Protocols
- Training Needs Assessment
- Awareness Program Design
- Record Keeping Standards
- Language and Localization
- Tooling Integration
- Document Retention Policy
- Access Control for Artefacts
- Version Management
- Feedback Loops
- Knowledge Base Structure
- Lessons Learned Capture
Module 6. Operational Controls for AI Systems
Implement technical and procedural controls with documented justification tied to ISO 42001 requirements.
12 chapters in this module
- AI System Lifecycle Overview
- Design and Development Controls
- Bias Detection Methods
- Transparency Requirements
- Human Oversight Mechanisms
- Testing and Validation
- Deployment Criteria
- Monitoring Procedures
- Incident Response Planning
- Performance Thresholds
- Retraining Triggers
- Decommissioning Process
Module 7. Evaluating AI System Performance
Set up audits, reviews, and KPIs that validate control effectiveness and justify ongoing investment.
12 chapters in this module
- Internal Audit Planning
- Control Effectiveness Metrics
- Management Review Meetings
- Compliance Checklists
- Corrective Action Process
- Performance Dashboards
- Client Reporting Templates
- Audit Evidence Collection
- Benchmarking Against Peers
- Maturity Assessment
- Gap Remediation Tracking
- Certification Readiness
Module 8. Continuous Improvement of AI Governance
Embed feedback loops and improvement cycles into service delivery workflows.
12 chapters in this module
- PDCA Cycle Application
- Root Cause Analysis
- Change Request Workflow
- Lessons Learned Integration
- Client Feedback Channels
- Technology Refresh Planning
- Regulatory Change Monitoring
- Stakeholder Survey Design
- Process Optimization
- Benchmarking Updates
- Knowledge Sharing
- Improvement Reporting
Module 9. Control Mapping and Documentation
Build a living control register with traceable sources, examples, and implementation notes.
12 chapters in this module
- Control Inventory Creation
- Clause-to-Control Traceability
- Implementation Examples
- Rationale Documentation
- Ownership Assignment
- Review Frequency Setup
- Integration with GRC Tools
- Automation Feasibility
- Cross-Reference Index
- Version History
- Applicability Justification
- Exclusion Documentation
Module 10. Building Defensible Architectures
Develop system designs that withstand peer review and client scrutiny using source-backed reasoning.
12 chapters in this module
- Architectural Review Process
- Design Pattern Libraries
- Precedent Citing
- Alternative Evaluation
- Risk Trade-off Documentation
- Client-Specific Adjustments
- Scalability Considerations
- Interoperability Standards
- Security Integration
- Performance Validation
- Cost-Benefit Analysis
- Sustainability Factors
Module 11. Peer Engagement and Consensus Building
Lead cross-functional discussions with confidence using structured examples and standard-aligned logic.
12 chapters in this module
- Communication Strategy
- Stakeholder Mapping
- Meeting Facilitation
- Objection Handling
- Consensus Techniques
- Documentation for Agreement
- Escalation Paths
- Vendor Coordination
- Client Alignment
- Internal Advocacy
- Conflict Resolution
- Decision Tracking
Module 12. Sustaining ISO 42001 Compliance Over Time
Ensure long-term adherence through playbooks, ownership models, and leadership continuity.
12 chapters in this module
- Handover Planning
- Leadership Transition
- Ongoing Training
- Playbook Maintenance
- Annual Review Cycle
- Regulatory Update Process
- Client Audit Preparation
- Certification Renewal
- Lessons from Failed Implementations
- Scaling to New Contracts
- Knowledge Retention
- Organizational Memory
How this maps to your situation
- During client onboarding
- When designing new AI-enabled services
- Prior to internal audit cycles
- In response to regulatory scrutiny
Before vs. after
Before
Relying on ad-hoc reasoning and informal consensus when justifying AI governance decisions
After
Walking into any discussion with documented sources, implementation examples, and standard-aligned logic
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 progressive implementation alongside active projects.
How this compares to the alternatives
Unlike generic AI ethics courses or high-level overviews, this course delivers actionable, standard-specific implementation knowledge with real-world examples from IT service delivery environments.
Frequently asked
Is this course aligned with the official ISO 42001:the current cycle standard?
Yes, every module maps directly to clauses and commentary in ISO/IEC 42001:the current cycle.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this directly to client engagements?
Yes, the implementation playbook is designed for immediate use in service delivery contexts.
$199 one-time. Approximately 3 hours per module, designed for progressive implementation alongside active projects..
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