A tailored course, built for your situation
Become the Go To Practitioner for ISO 42001 Implementation
A tailored course to position you as the internal expert on AI governance frameworks
$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.
Being overlooked when AI governance decisions are made despite hands-on project experience
The situation this course is for
Even with deep execution experience, practitioners often don't get invited into strategic framework conversations because they lack the recognized standard-based language and artefacts to lead them.
Who this is for
Website Projects Manager with cross-platform experience who wants to transition from execution to influence in emerging governance domains
Who this is not for
Individuals looking for technical certifications or hands-on coding bootcamps in web development
What you walk away with
- Lead internal discussions on AI governance with confidence using ISO 42001 terminology and structure
- Produce documented positioning papers that establish your point of view on AI system controls
- Anticipate internal audit and compliance questions related to AI deployment
- Shape vendor selection criteria with a governance-first lens grounded in ISO 42001
- Become the internal reference others cite when making AI-related process decisions
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and Its Strategic Value
Explore the foundation of ISO 42001, its global adoption pattern, and why it positions practitioners as strategic assets in AI governance.
12 chapters in this module
- What ISO 42001 regulates
- How it differs from ISO 27001
- Organizational benefits of certification
- Mapping AI risks to clauses
- Executive perception of the standard
- Global regulatory alignment trends
- Timeline of development
- Industry sectors adopting first
- Relationship to OECD AI principles
- Vendor compliance expectations
- Audit scope definition
- Internal readiness assessment
Module 2. Positioning Yourself as the Internal Expert
Learn how to communicate ISO 42001 concepts effectively to non-specialists and build credibility across functions.
12 chapters in this module
- Framing ISO 42001 for leadership
- Building cross-functional buy-in
- Creating internal awareness materials
- Hosting knowledge shares
- Positioning past projects as foundation
- Using consistent terminology
- Developing reference examples
- Mapping existing controls
- Establishing ownership language
- Documenting governance gaps
- Sharing progress updates
- Creating internal FAQs
Module 3. Mapping Organizational AI Use Cases
Identify real-world AI deployments across the business and assess their alignment with ISO 42001 requirements.
12 chapters in this module
- Inventorying AI-powered tools
- Classifying risk levels
- Documenting decision pathways
- Identifying data flows
- Assessing model transparency
- Reviewing third-party AI services
- Evaluating customer impact
- Logging change frequency
- Determining human oversight levels
- Mapping accountability chains
- Defining success metrics
- Prioritizing high-impact areas
Module 4. Establishing Governance Boundaries
Define clear ownership, oversight, and escalation paths for AI systems using ISO 42001 as a foundation.
12 chapters in this module
- Setting threshold rules for review
- Defining approval workflows
- Assigning role responsibilities
- Creating audit trails
- Setting documentation standards
- Establishing update protocols
- Defining decommissioning rules
- Managing model drift
- Handling incident response
- Setting performance benchmarks
- Reviewing ethical considerations
- Aligning with privacy standards
Module 5. Developing the AI Governance Statement
Craft a clear, actionable governance statement that reflects organizational values and compliance posture.
12 chapters in this module
- Defining organizational principles
- Stating ethical boundaries
- Declaring oversight structure
- Articulating risk tolerance
- Specifying compliance goals
- Including stakeholder input
- Drafting public-facing summaries
- Creating internal policy versions
- Version control methods
- Approval sign-off process
- Distribution plan
- Review cycle schedule
Module 6. Creating the AI Risk Register
Build a living document that tracks AI-related risks, controls, and mitigation strategies aligned to ISO 42001.
12 chapters in this module
- Identifying risk categories
- Assessing likelihood and impact
- Linking to control clauses
- Assigning owners
- Setting review intervals
- Creating heat maps
- Integrating with existing registers
- Automating updates
- Reporting format design
- Stakeholder access rules
- Historical tracking method
- Escalation triggers
Module 7. Designing Human Oversight Mechanisms
Ensure meaningful human involvement in AI systems through structured processes and documented decision points.
12 chapters in this module
- Defining oversight scope
- Setting intervention thresholds
- Designing review checklists
- Training reviewers
- Logging interventions
- Evaluating override effectiveness
- Measuring response time
- Assessing feedback loops
- Reviewing edge cases
- Updating protocols
- Auditing oversight logs
- Benchmarking against peers
Module 8. Building Transparency and Explainability
Implement practices that make AI decisions interpretable and auditable across technical and business teams.
12 chapters in this module
- Defining explainability standards
- Documenting model logic
- Creating user-facing explanations
- Storing versioned documentation
- Designing audit interfaces
- Generating summary reports
- Managing access controls
- Updating when models change
- Communicating limitations
- Handling requests for insight
- Logging explanation use
- Assessing clarity effectiveness
Module 9. Managing Third Party AI Services
Apply ISO 42001 principles to vendor selection, onboarding, and ongoing monitoring.
12 chapters in this module
- Evaluating vendor certifications
- Assessing data handling practices
- Reviewing model documentation
- Setting integration standards
- Defining SLAs for AI behavior
- Conducting due diligence
- Creating vendor scorecards
- Managing contract terms
- Auditing external models
- Handling model updates
- Termination protocols
- Switching readiness
Module 10. Preparing for Internal Audits
Anticipate governance review cycles with complete, up-to-date documentation aligned to ISO 42001 clauses.
12 chapters in this module
- Scheduling audit readiness
- Collecting evidence packets
- Documenting control implementation
- Creating narrative summaries
- Identifying potential gaps
- Preparing responses
- Conducting mock reviews
- Engaging stakeholders
- Tracking open items
- Updating artefacts
- Reporting progress
- Finalizing submission
Module 11. Scaling Governance Across Projects
Embed ISO 42001 principles into project intake, design, and delivery workflows.
12 chapters in this module
- Integrating into project lifecycle
- Setting gate criteria
- Training project leads
- Creating templated assessments
- Defining escalation paths
- Automating checks
- Reviewing project plans
- Validating implementation
- Sharing lessons learned
- Updating standards
- Recognizing compliance
- Rewarding adherence
Module 12. Sustaining the Governance Practice
Ensure long-term adoption and evolution of AI governance by institutionalizing knowledge and updating processes.
12 chapters in this module
- Establishing review cadence
- Updating policies regularly
- Onboarding new members
- Maintaining documentation
- Tracking regulatory changes
- Sharing industry updates
- Gathering feedback
- Measuring effectiveness
- Presenting to leadership
- Celebrating milestones
- Refining frameworks
- Planning future enhancements
How this maps to your situation
- Preparing for new AI initiative
- Responding to audit question
- Shaping vendor selection
- Leading internal working group
Before vs. after
Before
Contributing to AI-related projects without full influence on governance direction
After
Being the first invited voice in AI governance decisions with structured, standards-based recommendations
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 2-3 hours per week over 6 weeks to complete all modules and apply templates to your context.
If nothing changes
Without grounding in formal frameworks, hands-on experience may not translate into strategic influence, leaving governance decisions to those with less operational insight.
How this compares to the alternatives
Unlike generic governance courses, this program focuses exclusively on ISO 42001 application in real-world digital environments, with templates and language tailored for practitioners managing cross-platform systems.
Frequently asked
Is this course about getting certified in ISO 42001?
No. This course teaches you how to apply ISO 42001 principles in practice and position yourself as the internal expert, not prepare for an exam.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-AI systems?
While focused on AI, the governance structure can be adapted to other automated decision systems with modifications.
$199 one-time. Approximately 2-3 hours per week over 6 weeks to complete all modules and apply templates to your context..
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