A tailored course, built for your situation
Mastering ISO 42001 for Service Managers in Global IT Operations
A structured path to mastering AI governance with verifiable control mapping and executive visibility
$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.
AI governance work is often invisible until something goes wrong
The situation this course is for
Practitioners build robust control frameworks, but their contributions remain buried in operational layers, unseen by leadership until incident-driven review cycles.
Who this is for
Senior service and compliance managers in global IT service organizations who implement governance frameworks but lack structured pathways to leadership visibility
Who this is not for
Entry-level auditors, pure software developers, or teams focused solely on model development without compliance integration
What you walk away with
- Produce ISO 42001-compliant AI governance documentation that automatically surfaces to leadership dashboards
- Map controls to service delivery outcomes with precision, reducing rework and review cycles
- Build auditable statements of applicability that reflect actual operational design, not template fills
- Establish a documented chain of custody for AI governance decisions from policy to implementation
- Structure cross-functional inputs so they elevate rather than slow down approval pathways
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Foundations
Covers the core principles, structure, and intent of ISO 42001 with emphasis on service-oriented AI systems. Focuses on differentiating between technical compliance and strategic alignment.
12 chapters in this module
- What ISO 42001 solves that prior frameworks do not
- Key clauses and their service delivery implications
- AI system lifecycle mapping to control objectives
- Differences between ISO 42001 and ISO 27001 in practice
- Governance boundaries in managed service environments
- Defining scope with precision to avoid overreach
- Stakeholder mapping for AI governance artefacts
- Documenting intent without speculative overcommitment
- Control applicability assessments in hybrid models
- Baseline requirements for audit readiness
- Integrating with existing service frameworks like ITIL
- Common missteps in early-stage scoping
Module 2. Scoping AI Systems with Precision
Teaches how to define AI system boundaries clearly and defensibly, avoiding over-scoping while maintaining compliance integrity in complex service environments.
12 chapters in this module
- Identifying AI-enabled services in your portfolio
- Distinguishing automation from AI decisioning
- Setting system boundaries for multi-vendor integrations
- Documenting data flows in AI-embedded services
- In-scope versus out-of-scope use cases
- Handling legacy systems with AI overlays
- Scoping for shared responsibility models
- Control ownership across service tiers
- Managing boundary creep during audits
- Version control for system scope definitions
- Tools for visualizing AI system scope
- Avoiding liability gaps in edge cases
Module 3. Risk Assessment Methodology
Builds a tailored risk assessment process aligned with ISO 42001 requirements, focusing on service impact, not just technical vulnerabilities.
12 chapters in this module
- Defining risk criteria for AI in services
- Stakeholder impact levels and thresholds
- Threat modeling for AI inference systems
- Bias identification across data and logic layers
- Operational disruption scenarios
- Reputational risk from AI decisions
- Third-party model risk evaluation
- Documentation standards for risk registers
- Linking risk findings to control objectives
- Frequency and triggers for reassessment
- Integrating with existing risk frameworks
- Avoiding risk fatigue in recurring cycles
Module 4. Control Selection and Mapping
Guides selection of appropriate controls from ISO 42001 Annex A based on scoped systems and risk findings, ensuring proportionality and clarity.
12 chapters in this module
- Matching controls to AI system types
- Control-by-control walkthrough of Annex A
- Mapping to organizational capabilities
- Adjusting for service delivery constraints
- Handling dual-use controls
- Documenting justification for exclusions
- Integration with service delivery KPIs
- Maintaining consistency across regions
- Version control for control mappings
- Handling updates to control baselines
- Cross-referencing with internal policies
- Control overlap and redundancy checks
Module 5. Statement of Applicability Development
Covers building a clear, defensible SoA that communicates control implementation status to auditors and leadership alike.
12 chapters in this module
- SoA structure and required sections
- Writing control implementation statements
- Evidence references and accessibility
- Handling partial implementations
- Versioning and approval workflows
- Tailoring language for technical versus executive readers
- Linking SoA to audit plans
- Using SoA for vendor assessments
- Common auditor questions and how to answer
- Updating SoA during system changes
- Automation opportunities for SoA maintenance
- SoA as input to executive reporting
Module 6. AI Governance in Service Delivery
Integrates ISO 42001 requirements into existing service management processes, ensuring governance scales with delivery.
12 chapters in this module
- Embedding AI checks in change management
- Incident response for AI-driven outages
- Service level agreements and AI reliability
- Monitoring AI performance drift
- Root cause analysis with AI components
- Escalation pathways for AI anomalies
- Training for service desk on AI systems
- Documentation standards in runbooks
- Handling model retraining in production
- Audit readiness in service operations
- Feedback loops from operations to governance
- Balancing agility with control rigor
Module 7. Third-Party AI Vendor Management
Provides a framework for assessing and governing third-party AI components within managed services.
12 chapters in this module
- Vendor selection criteria for AI capabilities
- Assessing vendor ISO 42001 alignment
- Contractual requirements for AI governance
- Right-to-audit provisions
- Evidence collection from vendors
- Monitoring compliance over time
- Handling multi-tier vendor dependencies
- Incident response coordination
- Model card evaluation
- Transparency assessments
- Exit strategies for non-compliant vendors
- Cost-benefit of vendor governance overhead
Module 8. Internal Audit and Readiness
Prepares teams to conduct effective internal audits of AI governance processes and artefacts.
12 chapters in this module
- Building an audit plan for AI systems
- Sampling strategies for AI controls
- Interviewing AI development teams
- Reviewing documentation completeness
- Testing control effectiveness
- Identifying control gaps
- Reporting findings with clarity
- Prioritizing remediation efforts
- Follow-up validation processes
- Audit tooling options
- Maintaining auditor independence
- Preparing for external audits
Module 9. Executive Communication Strategy
Teaches how to frame AI governance work in terms of strategic value and risk stewardship for leadership audiences.
12 chapters in this module
- Translating technical controls to business outcomes
- Identifying executive priorities to align with
- Timing governance updates to business cycles
- Visualizing progress without oversimplification
- Anticipating leadership questions
- Positioning governance as an enabler
- Avoiding fear-based narratives
- Highlighting efficiency gains
- Communicating maturity progression
- Using metrics that resonate
- Managing expectations on timelines
- Elevating issues appropriately
Module 10. Continuous Improvement Loop
Establishes feedback mechanisms to refine AI governance based on audits, incidents, and evolving business needs.
12 chapters in this module
- Setting improvement triggers
- Gathering input from multiple stakeholders
- Prioritizing updates based on impact
- Change management for control updates
- Versioning governance artefacts
- Training on updated processes
- Measuring improvement outcomes
- Benchmarking against peers
- Adapting to new regulations
- Updating risk assessments proactively
- Avoiding improvement fatigue
- Recognizing incremental progress
Module 11. Cross-Functional Collaboration
Builds strategies for engaging legal, security, data, and business units in AI governance without creating bottlenecks.
12 chapters in this module
- Identifying key collaborators
- Defining roles and responsibilities
- Establishing decision rights
- Meeting cadence design
- Conflict resolution frameworks
- Documentation of agreements
- Escalation paths
- Managing differing priorities
- Building trust across functions
- Sharing ownership without diluting accountability
- Onboarding new team members
- Sustaining momentum
Module 12. Sustaining ISO 42001 Compliance
Provides a long-term strategy for maintaining compliance as AI systems evolve and organizational priorities shift.
12 chapters in this module
- Maintenance planning
- Resource allocation for governance
- Succession planning for key roles
- Knowledge transfer processes
- Technology refresh considerations
- Budgeting for compliance activities
- Monitoring regulatory changes
- Adapting to organizational restructuring
- Proving ongoing value to leadership
- Celebrating milestones
- Avoiding compliance decay
- Future-proofing governance foundations
How this maps to your situation
- New ISO 42001 implementation in progress
- Preparing for first internal audit
- Responding to client governance requests
- Building executive support for AI governance
Before vs. after
Before
AI governance work is documented but buried in operational layers, rarely seen by leadership unless triggered by incident or audit.
After
AI governance contributions surface proactively through clear, structured artefacts that draw executive attention for their clarity and strategic alignment.
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 6-8 hours per module, designed for flexible completion over 6-12 weeks with full access for 12 months.
If nothing changes
Without a structured approach, AI governance remains reactive and invisible, missing opportunities to position the practitioner as a strategic enabler and leaving the organization exposed to scrutiny without defensible documentation.
How this compares to the alternatives
Unlike generic compliance training or broad AI ethics courses, this program delivers specific, actionable steps for implementing ISO 42001 in service management contexts, with templates and playbooks tailored to global IT operations environments.
Frequently asked
Is this course suitable for someone without direct AI development experience?
Yes. It's designed for service managers and governance professionals who oversee AI systems but do not necessarily build them.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me prepare for an audit?
Yes. The course includes templates and examples specifically designed to support internal and external audit readiness for ISO 42001.
$199 one-time. Approximately 6-8 hours per module, designed for flexible completion over 6-12 weeks with full access for 12 months..
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