A tailored course, built for your situation
Mastering ISO 42001 for ANZ Capital Projects Leaders
Accelerate AI governance delivery with a structured, evidence-ready approach built for complex project 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.
AI governance initiatives that stall in committee or require endless revisions slow down project timelines and erode stakeholder trust.
The situation this course is for
Many practitioners spend weeks drafting policies only to face repeated revisions, misaligned stakeholder expectations, or audit gaps that delay project milestones. The cost isn’t just time, it’s lost credibility and delayed value delivery.
Who this is for
Senior project leaders in consulting or enterprise environments leading capital-intensive initiatives with AI governance components, especially under regulatory or internal audit scrutiny.
Who this is not for
Junior compliance staff, general IT auditors, or those not actively delivering AI governance outcomes within project timelines.
What you walk away with
- Produce ISO 42001-compliant AI governance documentation in 40% less time
- Deliver artefacts that gain approval on first submission to oversight groups
- Structure governance workflows that align with project delivery milestones
- Leverage reusable templates for risk registers, SoAs, and control mappings
- Reduce back-and-forth with legal, risk, and audit teams by 70%
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and Its Role in Capital Projects
Establish foundational knowledge of ISO 42001 and its specific relevance to capital project governance, focusing on AI accountability, risk transparency, and stakeholder alignment.
12 chapters in this module
- Core principles of AI management systems per ISO 42001
- How ISO 42001 complements existing project governance frameworks
- Mapping AI governance to capital project lifecycle phases
- Identifying key stakeholders and their governance expectations
- Differentiating ISO 42001 from general compliance standards
- Common misconceptions about AI governance in consulting roles
- The strategic advantage of early ISO 42001 integration
- Case example: AI governance in a major infrastructure upgrade
- Regulatory drivers behind recent adoption in financial services
- Linking ISO 42001 to ANZ’s internal governance expectations
- Why project leaders are best positioned to lead this work
- Setting measurable objectives for governance rollout
Module 2. Initiating the AI Governance Project
Learn how to kickstart an AI governance initiative with clear scope, sponsor alignment, and stakeholder buy-in tailored to capital project constraints.
12 chapters in this module
- Defining project boundaries for AI governance initiatives
- Securing executive sponsorship with concise messaging
- Building a cross-functional governance team with clear roles
- Conducting initial risk screening for AI use cases
- Documenting business justification for governance investment
- Aligning timelines with project delivery milestones
- Creating a governance charter for stakeholder alignment
- Assessing organizational readiness for AI controls
- Identifying dependencies on data, model, and infrastructure teams
- Establishing communication plans for distributed teams
- Selecting the first AI system to govern under ISO 42001
- Developing a phased approach based on risk exposure
Module 3. Scoping the AI Management System
Define the boundaries and components of your AI management system to ensure relevance and efficiency within project timelines.
12 chapters in this module
- Determining which AI systems fall under governance scope
- Excluding low-risk or legacy systems appropriately
- Documenting system purposes and operational contexts
- Mapping AI systems to business processes and outcomes
- Classifying AI systems by impact and complexity
- Using decision matrices to prioritize governance efforts
- Integrating scope documentation into project plans
- Handling third-party AI tools within the scope
- Addressing data sourcing and model training transparency
- Documenting assumptions and boundary conditions
- Securing sign-off on scope from oversight bodies
- Updating scope as new AI systems are introduced
Module 4. Establishing Governance Leadership Roles
Clarify leadership responsibilities and decision rights to accelerate governance execution without delay.
12 chapters in this module
- Designating the AI governance lead within project teams
- Defining authority levels for control implementation
- Delegating tasks across technical, legal, and compliance roles
- Creating escalation paths for unresolved issues
- Integrating governance roles into project org charts
- Ensuring accountability for documentation completeness
- Managing external consultants within the governance structure
- Aligning role definitions with ISO 42001 clause requirements
- Training team members on their governance responsibilities
- Documenting role assignments and contact details
- Reviewing role effectiveness during project milestones
- Adjusting roles as project phases evolve
Module 5. Risk Assessment and Treatment Planning
Conduct thorough risk assessments and build treatment plans that align with project delivery timelines and stakeholder expectations.
12 chapters in this module
- Identifying AI-specific risks across the project lifecycle
- Classifying risks by likelihood and impact on outcomes
- Using standardized risk registers aligned with ISO 42001
- Incorporating bias, fairness, and explainability concerns
- Engaging technical teams in risk identification workshops
- Prioritizing risks for immediate versus long-term treatment
- Developing risk treatment strategies: avoid, transfer, mitigate
- Documenting risk acceptance decisions with justification
- Linking risk treatments to control implementation steps
- Validating risk assessments with peer reviewers
- Updating risk registers as new information emerges
- Reporting risk status to project leadership regularly
Module 6. Control Implementation and Evidence Gathering
Implement controls efficiently and gather evidence that satisfies auditors and reviewers on the first pass.
12 chapters in this module
- Selecting applicable controls from ISO 42001 Annex A
- Mapping controls to specific AI systems and processes
- Assigning implementation tasks to technical owners
- Creating evidence checklists for each control objective
- Documenting control operation with screenshots and logs
- Ensuring traceability from control to risk treatment
- Using templates to standardize evidence collection
- Integrating automated tooling into evidence workflows
- Conducting internal spot checks before formal review
- Streamlining reviewer access to evidence repositories
- Addressing control gaps identified during testing
- Maintaining evidence currency over time
Module 7. Developing the Statement of Applicability
Build a defensible, stakeholder-ready SoA that demonstrates compliance and project alignment.
12 chapters in this module
- Understanding the purpose and structure of the SoA
- Listing all relevant ISO 42001 controls by domain
- Justifying inclusion or exclusion of each control
- Linking control decisions to risk assessment outcomes
- Using consistent language for regulatory credibility
- Formatting the SoA for readability and audit readiness
- Incorporating feedback from legal and compliance teams
- Version controlling the SoA during project phases
- Securing approvals from governance leadership
- Updating the SoA when controls change
- Aligning the SoA with broader organizational policies
- Preparing the SoA for external auditor review
Module 8. Internal Review and Continuous Monitoring
Establish monitoring processes that maintain compliance and governance quality throughout the project lifecycle.
12 chapters in this module
- Scheduling regular internal governance reviews
- Using dashboards to track control effectiveness metrics
- Conducting health checks on AI model performance
- Monitoring changes in data inputs and system behavior
- Alerting stakeholders to potential compliance drift
- Updating documentation when systems are modified
- Integrating monitoring into CI/CD pipelines
- Using logs and audit trails for accountability
- Reporting findings to project governance committees
- Escalating unresolved issues to higher authorities
- Documenting review outcomes and action items
- Ensuring monitoring continuity across team changes
Module 9. Managing Documentation and Artefact Quality
Produce high-quality, reusable governance artefacts that meet stakeholder standards and survive scrutiny.
12 chapters in this module
- Defining documentation standards for clarity and completeness
- Using templates to ensure consistency across projects
- Structuring documents for easy navigation and review
- Incorporating version history and change logs
- Ensuring proper access controls for sensitive artefacts
- Storing documents in centralized, searchable repositories
- Conducting peer reviews before finalization
- Reducing redundancy across similar project artefacts
- Applying metadata tagging for faster retrieval
- Archiving outdated versions securely
- Training teams on documentation best practices
- Auditing documentation quality quarterly
Module 10. Preparing for External Audits and Reviews
Get ready for auditor inquiries with complete, organized, and defensible governance packages.
12 chapters in this module
- Understanding auditor expectations for ISO 42001
- Compiling audit-ready documentation packages
- Conducting pre-audit readiness assessments
- Identifying common auditor questions and concerns
- Running mock audits with internal teams
- Training spokespeople for audit interactions
- Organizing evidence by control objective
- Addressing prior audit findings proactively
- Clarifying roles during audit engagement
- Responding to auditor requests efficiently
- Tracking audit findings and remediation plans
- Using audit feedback to improve future projects
Module 11. Sustaining Governance Across Project Phases
Ensure governance continuity as capital projects move from design to deployment and beyond.
12 chapters in this module
- Transferring governance ownership to operations teams
- Updating documentation for production environments
- Maintaining control effectiveness in live systems
- Handing over monitoring responsibilities smoothly
- Planning for post-project governance audits
- Archiving project-specific governance records
- Extracting lessons learned for future initiatives
- Updating organizational AI governance standards
- Recognizing team contributions formally
- Celebrating governance milestones publicly
- Preserving institutional knowledge in repositories
- Scaling successful approaches to other projects
Module 12. Optimizing for Future Governance Efficiency
Turn project-based governance into repeatable, accelerated practices for future engagements.
12 chapters in this module
- Identifying bottlenecks in current governance workflows
- Benchmarking time spent per governance task
- Adapting templates for reuse across projects
- Implementing automation for evidence collection
- Reducing approval cycles with pre-vetted content
- Training new teams using documented playbooks
- Standardizing language across governance artefacts
- Integrating governance into project kickoff checklists
- Tracking efficiency gains over time
- Sharing best practices across business units
- Proposing governance improvements to leadership
- Building a community of practice for AI governance
How this maps to your situation
- Initiating AI governance in complex capital projects
- Aligning governance with delivery timelines
- Producing auditor-ready documentation efficiently
- Scaling governance outcomes across engagements
Before vs. after
Before
Spending weeks drafting AI governance documentation only to face rework, misalignment, and delayed approvals.
After
Producing ISO 42001-aligned artefacts in under half the time, gaining stakeholder confidence and accelerating project timelines.
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 8-10 hours total, designed to be completed in short sessions across one to two weeks.
If nothing changes
Delaying structured AI governance risks extended review cycles, increased remediation costs, and diminished influence on future project design decisions.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance overviews, this program delivers targeted, project-executable ISO 42001 implementation guidance tailored to capital project leaders , ensuring faster delivery of governance artefacts without sacrificing rigor.
Frequently asked
Is this course suitable for someone leading AI governance in large-scale capital projects?
Yes, it's designed specifically for senior project leaders navigating AI governance in complex, regulated environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get templates I can use immediately?
Yes, every module includes downloadable templates and real-world examples ready for adaptation.
$199 one-time. Approximately 8-10 hours total, designed to be completed in short sessions across one to two weeks..
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