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AIG8014 Mastering ISO 42001; A Step-by-Step Guide to AI Governance Implementation

$199.00
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A tailored course, built for your situation

Mastering ISO 42001; A Step-by-Step Guide to AI Governance Implementation

A proven path to structured, auditable, and scalable AI governance, built for service leaders in complex delivery environments.

$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.
Control documentation that slips during audit cycles, especially under multi-region compliance pressure

The situation this course is for

Service Delivery Managers at large firms like CGI are often caught between client demands, internal compliance timelines, and evolving regulatory expectations. The pressure to deliver clean, auditable AI governance packages, on time and without rework, is intensifying. When control mappings shift across regions or new client sectors demand fresh attestations, the burden falls on delivery leads to reconcile it all, often at the last minute.

Who this is for

Senior Service Delivery Leaders in global IT services firms who own compliance-readiness across multi-region client engagements and are navigating new AI governance expectations from clients and regulators alike.

Who this is not for

Entry-level delivery staff, auditors focused only on SOX or SOC 2, or non-client-facing compliance officers. This course assumes you are already in the path of client delivery and responsible for operationalizing governance frameworks.

What you walk away with

  • Produce auditable AI governance packages that survive cross-region scrutiny
  • Reduce control documentation cycle time by up to 80%
  • Lead AI governance rollouts across multiple client sectors without escalation
  • Become the internal reference for scalable ISO 42001 implementation in service delivery
  • Confidently navigate emerging AI governance requirements in regulated industries

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in Service Delivery Contexts
Establish a clear baseline for ISO 42001 principles as they apply to managed services and client-facing AI systems, with a focus on roles, responsibilities, and scope definition across delivery teams.
12 chapters in this module
  1. Understanding the purpose and scope of ISO 42001 in client engagements
  2. Key differences between ISO 42001 and legacy compliance frameworks
  3. Mapping AI governance to existing service delivery workflows
  4. Defining organizational roles for AI management system ownership
  5. Client onboarding considerations under ISO 42001 alignment
  6. Integrating AI governance into existing change control processes
  7. Initial scoping exercise for multi-region delivery teams
  8. Identifying high-risk AI use cases in service portfolios
  9. Building the business case for ISO 42001 adoption internally
  10. Establishing governance boundaries with client stakeholders
  11. Documenting AI system inventories for audit readiness
  12. Setting up the foundational management review cadence
Module 2. AI Risk Assessment Across Delivery Verticals
Equip delivery leads to conduct repeatable, evidence-based AI risk assessments tailored to healthcare, finance, and public sector clients.
12 chapters in this module
  1. Framework for categorizing AI system impact levels
  2. Client-specific risk criteria for AI deployment
  3. Using ISO 42001 Annex A controls as a baseline
  4. Conducting AI risk workshops with delivery teams
  5. Scoring likelihood and impact for AI-related failures
  6. Linking risk outcomes to service level agreements
  7. Documenting risk decisions for auditor review
  8. Handling third-party AI component risk
  9. Managing model drift in production environments
  10. Updating risk registers quarterly or post-incident
  11. Integrating risk findings into service transition plans
  12. Client communication templates for AI risk disclosures
Module 3. Designing the AI Management System (AIMS)
Walk through the end-to-end design of a compliant, operational AIMS tailored to service delivery environments with recurring client engagements.
12 chapters in this module
  1. Core components of an AI Management System framework
  2. Defining leadership roles and accountability structures
  3. Establishing AI policy documentation for client review
  4. Integrating AIMS with existing ISMS or IMS platforms
  5. Designing internal audit readiness from the start
  6. Creating version-controlled policy libraries
  7. Setting management review frequency and agenda
  8. Incorporating lessons learned from past engagements
  9. Client-specific AIMS configuration patterns
  10. Automation touchpoints for control monitoring
  11. Vendor oversight integration into AIMS design
  12. Change management process for AIMS updates
Module 4. Control Implementation and Evidence Flow
Turn ISO 42001 controls into tangible, repeatable evidence packages that survive internal and external scrutiny.
12 chapters in this module
  1. Interpreting ISO 42001 control statements operationally
  2. Translating controls into delivery team actions
  3. Assigning control ownership across delivery units
  4. Designing evidence collection workflows by control
  5. Standardizing evidence formats for audit consistency
  6. Using templates to reduce control rework
  7. Timing evidence collection with project milestones
  8. Client handover requirements for AI control logs
  9. Integrating control testing into UAT cycles
  10. Tracking control exceptions and remediation plans
  11. Leveraging tooling for automated control monitoring
  12. Preparing for unannounced auditor walkthroughs
Module 5. Cross-Region Compliance Harmonization
Navigate divergent regulatory expectations across North America, EU, and APAC while maintaining a unified delivery posture.
12 chapters in this module
  1. Mapping ISO 42001 to GDPR AI-related provisions
  2. Aligning with U.S. Executive Order on AI safety
  3. Adapting to Canadian AI and Data Act expectations
  4. Meeting EU AI Act conformity assessment needs
  5. Handling data localization in AI model training
  6. Client-specific consent and transparency rules
  7. Reporting obligations across jurisdictions
  8. Managing regional differences in bias testing
  9. Audit trail retention by geography
  10. Vendor due diligence under varied national laws
  11. Incident response coordination across time zones
  12. Creating a single source of truth for global compliance
Module 6. AI Governance in Client RFP and Onboarding
Embed ISO 42001 readiness into the front end of client acquisition and onboarding processes.
12 chapters in this module
  1. Preparing standard responses for AI governance in RFPs
  2. Demonstrating compliance posture during client due diligence
  3. Defining AI service boundaries in SOWs
  4. Including ISO 42001 references in client contracts
  5. Onboarding checklists for AI governance alignment
  6. Client-specific control exceptions and approvals
  7. Managing client audits of AI systems
  8. Handling client-provided AI models in delivery
  9. Establishing joint governance forums with clients
  10. Documenting AI model intent and use case limits
  11. Client training needs on internal AI policies
  12. Exit planning for AI components in offboarding
Module 7. Operationalizing AI Monitoring and Logging
Implement continuous monitoring of AI systems in production environments across client accounts.
12 chapters in this module
  1. Defining key performance indicators for AI systems
  2. Logging model inputs, outputs, and decisions
  3. Monitoring for model drift and degradation
  4. Alerting on unauthorized AI usage
  5. Capturing AI decision justification data
  6. Integrating logs with SIEM and ticketing systems
  7. Setting thresholds for human-in-the-loop review
  8. Auditing access to AI models and data
  9. Retention policies for AI interaction logs
  10. Automated reporting for management review
  11. Incident logging and root cause documentation
  12. Using logs to improve model retraining cycles
Module 8. Third-Party and Vendor AI Oversight
Ensure vendor AI components and services comply with ISO 42001 standards across the delivery stack.
12 chapters in this module
  1. Assessing vendor AI maturity using ISO 42001 lens
  2. Incorporating AI clauses into vendor contracts
  3. Vendor pre-qualification questionnaires
  4. Ongoing monitoring of third-party AI vendors
  5. Auditing vendor AI documentation and attestations
  6. Managing AI supply chain risks
  7. Handling vendor model updates and patches
  8. Defining accountability for vendor AI failures
  9. Vendor exit and data portability planning
  10. Standardizing vendor AI evidence collection
  11. Creating vendor scorecards for AI compliance
  12. Remediation processes for non-compliant vendors
Module 9. Internal Audit and Continuous Improvement
Conduct effective internal audits of the AI management system and drive continuous improvement.
12 chapters in this module
  1. Planning the annual internal audit cycle
  2. Selecting auditors with AI domain knowledge
  3. Preparing audit checklists aligned to ISO 42001
  4. Conducting on-site and remote audit sessions
  5. Documenting findings and non-conformities
  6. Assigning corrective actions with deadlines
  7. Tracking closure of audit issues
  8. Reporting audit results to management
  9. Benchmarking against peer delivery teams
  10. Using audit data to refine the AIMS
  11. Integrating feedback from client audits
  12. Preparing for certification body assessments
Module 10. Training and Awareness for Delivery Teams
Scale AI governance understanding across delivery personnel with role-specific training and reinforcement.
12 chapters in this module
  1. Identifying training needs by role and region
  2. Developing role-based AI governance curricula
  3. Delivering onboarding training for new hires
  4. Creating refresher modules for existing staff
  5. Assessing knowledge retention through quizzes
  6. Training client-facing teams on AI disclosures
  7. Using simulations for incident response prep
  8. Documenting training completion for auditors
  9. Translating policies into local languages
  10. Engaging teams through real-world case studies
  11. Measuring behavior change post-training
  12. Updating training content with new regulations
Module 11. Preparing for External Certification
Navigate the certification process with confidence, from readiness assessment to successful audit outcome.
12 chapters in this module
  1. Selecting an accredited certification body
  2. Conducting pre-certification gap assessments
  3. Addressing major and minor non-conformities
  4. Coordinating documentation for Stage 1 audit
  5. Preparing teams for on-site interviews
  6. Responding to auditor findings in real time
  7. Implementing corrective actions under time pressure
  8. Post-audit surveillance planning
  9. Maintaining certification through annual reviews
  10. Leveraging certification in client proposals
  11. Budgeting for certification and maintenance
  12. Celebrating certification success across teams
Module 12. Scaling AI Governance Across Business Units
Expand ISO 42001 implementation to new service lines and geographies with minimal rework.
12 chapters in this module
  1. Identifying next business units for rollout
  2. Replicating proven governance models efficiently
  3. Adapting to new industry-specific AI risks
  4. Knowledge transfer between regional teams
  5. Standardizing templates across units
  6. Creating centers of excellence for AI governance
  7. Measuring maturity across delivery teams
  8. Reducing time-to-compliance for new clients
  9. Sharing best practices across accounts
  10. Building executive sponsorship for expansion
  11. Integrating with enterprise ESG and sustainability goals
  12. Tracking ROI of scaled AI governance efforts

How this maps to your situation

  • Client delivery under compliance pressure
  • Multi-region service operations
  • AI governance in managed services
  • Scalable compliance for recurring engagements

Before vs. after

Before
Spending 80+ hours per quarter assembling fragmented AI governance documentation, chasing down control evidence, and responding to last-minute client or auditor requests across regions.
After
Producing clean, auditable AI governance packages in under a week, with standardized templates, automated workflows, and cross-regional alignment, freeing up time for strategic delivery oversight.

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 hours of focused learning, designed to be completed in weekend or two weekday evenings. Each module includes actionable templates to apply immediately.

If nothing changes
Without a structured approach to AI governance, service delivery teams risk repeated audit findings, client escalations, and reputational exposure, especially as regulators increase scrutiny of AI in managed services. The longer compliance is reactive, the higher the cost of correction and the greater the operational drag.

How this compares to the alternatives

Unlike generic compliance courses or vendor-specific training, this program is tailored to service delivery leaders who must operationalize ISO 42001 across client engagements. It skips theory and focuses on the actual artefacts, decisions, and workflows that determine audit success.

Frequently asked

Is this course suitable for someone without a formal AI or technical background?
Yes. The course is designed for delivery leaders who need to govern AI systems, not build them. It focuses on control, compliance, and client assurance, not coding or model development.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with actual certification?
Yes. The course includes a full readiness roadmap, evidence templates, and audit preparation strategies aligned with ISO 42001 certification requirements.
$199 one-time. Approximately 6 hours of focused learning, designed to be completed in weekend or two weekday evenings. Each module includes actionable templates to apply immediately..

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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