A tailored course, built for your situation
Mastering ISO 42001 for Service Delivery Leaders in Global Firms
Build AI governance systems that scale across delivery teams and stand up to executive scrutiny.
$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.
Audit packages that spiral with rework across regions
Who this is for
Service Delivery Leader at a global IT services firm managing compliance-sensitive client portfolios with AI-integrated solutions
Who this is not for
Individual contributors without cross-functional delivery responsibility or practitioners outside regulated delivery environments
What you walk away with
- Produce ISO 42001 control mappings that pass client review the first time
- Standardize AI governance evidence collection across global delivery pods
- Reduce audit prep time by 85% using automated templates
- Lead client-facing governance discussions with framework fluency
- Position service delivery as the internal authority on AI system compliance
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Service Delivery Contexts
Establish a working understanding of ISO 42001 principles as applied to managed services and client-facing delivery teams, with emphasis on AI system governance and compliance integration.
12 chapters in this module
- Understanding the scope of AI governance under ISO 42001
- Differentiating ISO 42001 from ISO 27001 and ISO 20000
- Mapping AI system types to governance requirements
- Integrating ISO 42001 with ITIL 4 service lifecycle
- Role of service delivery managers in governance oversight
- Client expectations in global AI compliance frameworks
- Linking AI governance to service level agreements
- Common gaps in early-stage ISO 42001 implementation
- Using ISO 42001 to strengthen client trust narratives
- Aligning with regional data sovereignty requirements
- Governance implications for multi-cloud AI deployments
- Assessing organizational readiness for certification
Module 2. Control Framework Design for Distributed Teams
Design governance controls that work across regions, time zones, and delivery models without sacrificing consistency or audit readiness.
12 chapters in this module
- Structuring controls for global delivery consistency
- Defining ownership across delivery pod boundaries
- Standardizing control evidence collection workflows
- Minimizing control drift in offshore environments
- Integrating control design with change management
- Building audit trails into routine service operations
- Version control for governance documentation
- Designing controls for AI model retraining cycles
- Embedding controls in CI/CD pipelines for AI
- Tracking control effectiveness across sprints
- Creating cross-regional control validation rituals
- Documenting control exceptions with traceability
Module 3. AI System Documentation and Transparency Requirements
Produce complete, client-ready documentation for AI systems that meet ISO 42001 transparency obligations and reduce auditor follow-ups.
12 chapters in this module
- What constitutes a complete AI system record
- Documenting data provenance and lineage
- Capturing model training parameters
- Recording data preprocessing decisions
- Versioning AI models and dependencies
- Describing algorithmic logic in non-technical terms
- Linking documentation to control objectives
- Maintaining documentation in dynamic environments
- Standardizing templates across delivery teams
- Automating documentation generation from pipelines
- Handling multilingual documentation needs
- Preparing documentation for external audits
Module 4. Human Oversight Mechanism Design
Implement human-in-the-loop frameworks that satisfy ISO 42001 requirements while aligning with delivery team workflows.
12 chapters in this module
- Defining critical decision points for human review
- Designing escalation paths for AI uncertainty
- Integrating oversight into incident response
- Setting thresholds for AI confidence levels
- Logging human intervention decisions
- Training team members on oversight triggers
- Balancing automation speed with control needs
- Documenting rationale for AI override decisions
- Integrating oversight logs with audit trails
- Reviewing oversight effectiveness quarterly
- Scaling oversight for high-volume AI outputs
- Reducing false positives in human review alerts
Module 5. Bias and Fairness Monitoring in Production AI
Establish ongoing monitoring for AI fairness and drift that satisfies ISO 42001 requirements and client expectations.
12 chapters in this module
- Identifying protected attributes in AI contexts
- Building bias detection into model pipelines
- Setting performance thresholds by demographic
- Sampling outputs for fairness auditing
- Creating feedback loops from end users
- Documenting fairness investigation processes
- Responding to bias findings in client environments
- Maintaining bias mitigation records
- Updating models based on fairness findings
- Reporting fairness metrics to stakeholders
- Integrating fairness checks with retraining
- Handling edge cases in fairness analysis
Module 6. Data Governance and Provenance Tracking
Implement robust data lineage and quality tracking that supports ISO 42001 compliance and client audit requirements.
12 chapters in this module
- Mapping data sources for AI training sets
- Documenting data collection methods
- Establishing data quality metrics
- Tracking data transformations through pipelines
- Verifying data labeling accuracy
- Managing consent documentation for data use
- Linking data to specific AI outputs
- Auditing data access and handling
- Ensuring data retention compliance
- Handling data subject requests in AI systems
- Maintaining data provenance for cross-border data
- Automating data lineage reporting
Module 7. Automated Compliance Evidence Collection
Design systems that auto-generate audit-ready evidence for ISO 42001 controls across distributed delivery environments.
12 chapters in this module
- Identifying evidence requirements for each control
- Integrating evidence collection into CI/CD
- Automating screenshot and log capture
- Standardizing evidence file naming
- Validating evidence completeness automatically
- Storing evidence with access controls
- Building evidence collection dashboards
- Alerting on missing evidence items
- Connecting evidence to control objectives
- Generating evidence packages for external review
- Reducing manual collection effort by 90%
- Maintaining evidence chain of custody
Module 8. Client Onboarding and Governance Integration
Embed ISO 42001 compliance into client onboarding to reduce governance friction and accelerate delivery timelines.
12 chapters in this module
- Assessing client AI governance maturity
- Mapping client requirements to ISO 42001
- Building governance checklists into onboarding
- Documenting client-specific exceptions
- Integrating client SLAs with control design
- Running governance readiness reviews
- Training client teams on compliance processes
- Establishing joint audit preparation rituals
- Handling client-specific reporting formats
- Managing governance knowledge transfer
- Reducing onboarding time for regulated clients
- Creating re-usable onboarding templates
Module 9. Cross-Functional Governance Coordination
Lead coordination between legal, security, delivery, and operations teams to maintain ISO 42001 alignment without bottlenecks.
12 chapters in this module
- Identifying key stakeholders in governance
- Establishing cross-functional working groups
- Creating shared governance calendars
- Standardizing communication protocols
- Documenting decision-making authority
- Running effective governance review meetings
- Tracking action items across teams
- Resolving cross-team conflicts
- Integrating legal and compliance input
- Aligning with security team priorities
- Managing turnover in governance roles
- Institutionalizing governance knowledge
Module 10. Internal Audit Preparation and Response
Turn internal audits from disruptive events into routine validation cycles with complete, organized evidence.
12 chapters in this module
- Understanding internal audit scope and timing
- Mapping audit requests to control evidence
- Building pre-audit evidence packages
- Training teams on auditor interactions
- Documenting control effectiveness
- Preparing for surprise audit elements
- Responding to audit findings efficiently
- Tracking finding remediation
- Creating audit playbooks for teams
- Reducing audit timeline by 70%
- Building positive auditor relationships
- Using audits to improve processes
Module 11. Client-Facing Audit Support and Narrative Development
Develop compelling, client-ready narratives that demonstrate ISO 42001 compliance and build trust.
12 chapters in this module
- Understanding client auditor expectations
- Building client-specific compliance summaries
- Creating visual evidence maps
- Developing consistent talking points
- Handling tough questions with evidence
- Documenting client-specific controls
- Preparing SMEs for audit interviews
- Running mock client audits
- Improving response time to audit requests
- Reducing client audit findings by 60%
- Building confidence through transparency
- Positioning CGI as compliance leader
Module 12. Continuous Improvement and Framework Evolution
Establish feedback loops that keep ISO 42001 implementation current with AI advancements and client needs.
12 chapters in this module
- Tracking changes in AI technology landscape
- Reviewing controls quarterly
- Incorporating lessons from audits
- Updating documentation for new services
- Scaling governance for new regions
- Training new team members
- Measuring governance efficiency
- Benchmarking against industry peers
- Planning for ISO 42001 updates
- Aligning with client innovation roadmaps
- Reducing governance rework cycles
- Building self-sustaining compliance culture
How this maps to your situation
- Audit package reduction
- Client-facing governance
- Cross-regional delivery
- AI system compliance
Before vs. after
Before
Spending 80+ hours each quarter assembling fragmented audit evidence across global delivery teams, with last-minute scrambles and version conflicts.
After
Producing complete, consistent ISO 42001 control packages in under 6 hours, with automated evidence collection and client-ready documentation.
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 access.
Time investment: 90 minutes of focused learning, plus 30 minutes to implement key templates in your current workflow.
If nothing changes
Continuing with manual, reactive governance increases client audit findings, delivery delays, and team burnout, putting service delivery leadership credibility at risk when clients demand AI compliance proof.
How this compares to the alternatives
Unlike generic ISO 42001 overviews, this course is tailored to service delivery leaders in global firms, with CGI-relevant examples, templates for distributed teams, and specific guidance on client-facing audit cycles.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for service delivery roles?
Yes, specifically designed for service delivery managers overseeing AI-integrated client projects in global firms.
Will this help with client audits?
Yes, every module includes client-facing evidence and narrative tools used in actual ISO 42001 assessments.
$199 one-time. 90 minutes of focused learning, plus 30 minutes to implement key templates in your current workflow..
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