A tailored course, built for your situation
Mastering ISO 42001 for PMO Leaders in High-Efficiency Environments
A structured path to embedding AI governance within project delivery frameworks using internationally recognized standards.
$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.
Governance debates slowing down delivery momentum
The situation this course is for
As AI projects scale, PMO leaders face more pushback on governance overhead. Without a defensible framework, teams default to either compliance theater or unchecked innovation, both carry delivery risk.
Who this is for
PMO Leader in a global IT services firm navigating efficiency mandates while scaling AI initiatives
Who this is not for
Individuals seeking introductory AI literacy or non-technical overviews of machine learning
What you walk away with
- Articulate the rationale behind AI governance requirements using ISO 42001 clauses
- Reference real-world implementations when challenged on control design
- Build audit-ready documentation that aligns with project delivery timelines
- Anticipate scope challenges using precedent from certified organizations
- Defend PMO-led governance models with sourced reasoning, not opinion
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and Its Role in Project Governance
Establish foundational awareness of ISO 42001’s purpose, structure, and alignment with PMO workflows. Learn how it differs from general AI ethics guidelines and why it carries weight in contractual and audit settings.
12 chapters in this module
- Defining AI governance beyond principles and manifestos
- Core intent and scope of ISO 42001 as published
- How ISO 42001 complements ISO 31000 and ISO 9001
- Why project offices are natural owners of implementation
- Linking AI governance to existing risk registers
- Common misconceptions about ISO 42001 certification
- How CGI’s efficiency focus increases governance stakes
- Mapping AI initiatives to ISO 42001 clause 4
- The role of leadership commitment in clause 5
- Planning requirements under clause 6 of the standard
- Support and resource obligations in clause 7
- Operational control expectations in clause 8
Module 2. Linking PMO Processes to ISO 42001 Control Objectives
Translate standard requirements into actionable PMO workflows. Identify where project intake, stage gates, and delivery checklists can embed ISO 42001 alignment without adding friction.
12 chapters in this module
- Mapping stage gates to ISO 42001 lifecycle stages
- Integrating clause 8 controls into sprint planning
- Documenting AI use cases during initiation phase
- Assigning accountability using RACI within clause 5
- Tracking bias assessment requirements in backlog
- Embedding transparency requirements into user stories
- Using burn-down charts to monitor compliance tasks
- Handling third-party AI vendor oversight
- Managing model update cycles within release plans
- Defining audit trails for AI decision logs
- Setting thresholds for human-in-the-loop intervention
- Aligning KPIs with ethical performance indicators
Module 3. Building Defensible Rationale for Governance Scope
Develop clear, sourced reasoning to justify governance boundaries. Use published implementations, auditor findings, and control mapping to withstand peer challenge.
12 chapters in this module
- Why defensibility matters more than completeness
- Sourcing precedent from certified organizations
- Using NIST AI RMF as a supporting framework
- Referencing EU AI Act alignment efforts
- How UK DSIT guidelines reinforce ISO 42001
- Drawing on precedents from financial services AI
- Comparing healthcare and logistics AI controls
- Using audit findings from SOC 2 AI addenda
- Leveraging COBIT the current cycle for governance structure
- Explaining control necessity using real downtime costs
- Quantifying reputational risk from poor governance
- Citing disciplinary action from regulator findings
Module 4. Developing Implementation Templates for Fast Deployment
Access and adapt ready-made templates for AI register, risk assessment, and control mapping. Customize them for CGI project profiles and governance maturity.
12 chapters in this module
- Structure of an AI asset register with examples
- Fields required for compliance and traceability
- Classifying AI systems by impact level
- Template for high-risk system identification
- Designing AI risk assessment workflows
- Using heat maps for impact likelihood scoring
- Documenting rationale for risk categorization
- Creating version-controlled control libraries
- Building cross-functional review checklists
- Integrating templates into Jira workflows
- Automating evidence collection using Power BI
- Maintaining audit readiness across sprints
Module 5. Navigating Internal Challenges to Governance Adoption
Anticipate and respond to common objections from delivery teams, technical leads, and business sponsors using sourced examples and structured reasoning.
12 chapters in this module
- Common pushback themes from agile teams
- Responding to 'this slows us down' objections
- Using sprint failure post-mortems as evidence
- Citing regulatory scrutiny from peer firms
- Highlighting client contract compliance demands
- Reframing governance as enabling speed
- Using ISO 42001 to reduce rework cycles
- Demonstrating cost of non-compliance incidents
- Referencing AI incident databases for risk proof
- Aligning governance with delivery quality
- Linking controls to customer trust metrics
- Using client RFPs to justify governance burden
Module 6. Designing Audit-Ready Documentation Workflows
Ensure documentation supports both project delivery and external validation. Learn how to satisfy internal auditors and client-side reviewers without overburdening teams.
12 chapters in this module
- What auditors look for in AI governance
- Structuring evidence for ISO 42001 compliance
- Maintaining version control of policies
- Documenting decision trails for AI models
- Capturing human oversight actions
- Proving training data provenance
- Demonstrating bias testing cycles
- Using automated logging tools
- Preparing for third-party certification
- Responding to auditor requests efficiently
- Creating living documentation practices
- Updating records without disrupting delivery
Module 7. Engaging Stakeholders Across Delivery Lifecycle
Coordinate with legal, risk, security, and delivery leads to co-own AI governance. Build shared ownership without centralizing control.
12 chapters in this module
- Identifying key stakeholders in AI delivery
- Mapping governance touchpoints across phases
- Creating RACI charts for AI initiatives
- Facilitating joint risk assessment sessions
- Aligning with information security teams
- Integrating legal compliance requirements
- Coordinating with client risk officers
- Managing distributed AI ownership
- Running effective governance forums
- Documenting stakeholder input decisions
- Resolving conflicts using ISO 42001 clauses
- Escalating unresolved issues to leadership
Module 8. Using Precedent and Benchmarking for Credibility
Strengthen your position by referencing how peer organizations have structured AI governance. Use real cases to justify approach and investment.
12 chapters in this module
- Benchmarking against certified firms
- Analyzing AI governance maturity models
- Using BSI and DNV case studies
- Reviewing public AI governance reports
- Comparing internal vs client requirements
- Citing Gartner adoption trends
- Referencing Forrester risk assessments
- Leveraging IDC market analysis
- Using ISO 42001 implementation timelines
- Tracking time-to-certification across sectors
- Measuring ROI of governance investment
- Justifying staffing using industry benchmarks
Module 9. Creating Sustainable Governance Integration
Avoid one-off initiatives by embedding governance into standard operating procedures. Ensure continuity across team changes and leadership transitions.
12 chapters in this module
- Designing onboarding for new project managers
- Incorporating governance into playbooks
- Updating delivery methodologies post-adoption
- Maintaining governance knowledge base
- Scheduling refresh cycles for AI registers
- Conducting annual control reviews
- Updating policies in response to incidents
- Using change management frameworks
- Tracking governance maturity over time
- Celebrating compliance milestones
- Sharing lessons across project teams
- Documenting playbook evolution
Module 10. Preparing for Certification and External Review
Understand what certification entails and how to prepare. Know what evidence is needed and how to present it without disrupting delivery.
12 chapters in this module
- Overview of ISO 42001 certification process
- Selecting a certification body
- Understanding scope definition requirements
- Preparing for stage 1 and stage 2 audits
- Gathering compliance evidence systematically
- Conducting internal mock audits
- Addressing non-conformities efficiently
- Using consultant feedback effectively
- Maintaining certification long-term
- Responding to surveillance audits
- Updating scope with new AI systems
- Renewing certification with minimal effort
Module 11. Adapting Governance for AI Innovation Speed
Balance governance rigor with pace of innovation. Use modular controls and risk-based thresholds to support fast experimentation safely.
12 chapters in this module
- Differentiating between pilot and production AI
- Using sandbox environments for testing
- Defining fast-tracked review paths
- Applying lightweight controls to low-risk AI
- Scaling controls based on impact level
- Using automated compliance checks
- Integrating controls into CI/CD pipelines
- Monitoring AI systems in real time
- Setting thresholds for autonomous operation
- Designing human override mechanisms
- Logging decisions for retrospective review
- Updating models without full recertification
Module 12. Leading the Evolution of AI Governance Practice
Position yourself as the internal expert by contributing to standards development, sharing insights, and mentoring others.
12 chapters in this module
- Contributing to internal AI governance standards
- Publishing lessons learned internally
- Mentoring junior PMO staff
- Speaking at internal tech talks
- Representing firm in client discussions
- Engaging with standards bodies
- Providing feedback to ISO working groups
- Writing whitepapers for leadership
- Building cross-functional AI councils
- Shaping future AI policy frameworks
- Leading governance in M&A integrations
- Influencing client AI adoption strategies
How this maps to your situation
- Efficiency pressure at CGI
- PMO governance leadership
- AI adoption in service delivery
- Regulatory anticipation in government contracting
Before vs. after
Before
Spending cycles defending AI governance decisions without structured, referenceable reasoning
After
Confidently articulating the why behind controls using ISO 42001, with examples and sources ready
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: 90 minutes total, self-paced, with just-in-time access to modules during active project cycles.
If nothing changes
Governance decisions remain vulnerable to challenge, leading to rework, delayed delivery, or inconsistent client-facing positions.
How this compares to the alternatives
Generic AI ethics courses lack implementable structure. Internal templates evolve slowly. This course delivers a standards-grounded, field-tested approach tailored to PMO delivery rhythms.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover ISO 27001 or other security standards?
Focus is on ISO 42001 for AI governance. Security overlaps are addressed only where they directly support AI control objectives.
Is certification required to benefit from the course?
No. The course builds practical implementation skills, applicable whether or not formal certification is pursued.
$199 one-time. 90 minutes total, self-paced, with just-in-time access to modules during active project cycles..
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