A tailored course, built for your situation
Mastering ISO 42001 for Audit & Compliance Practitioners
A step-by-step system to design, deploy, and validate AI governance controls that stand up to internal and external scrutiny
$199 one-time
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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 mappings that stall during auditor review
The situation this course is for
Teams spend weeks building control evidence, only to face rework when auditors request deeper traceability or clearer implementation links. This cycle repeats every certification window, draining bandwidth from strategic work.
Who this is for
Senior compliance and audit professionals in tech-forward enterprises implementing AI governance under ISO 42001, balancing technical depth with regulatory expectation
Who this is not for
Entry-level compliance staff, consultants selling ISO 42001 as a checklist, or teams not actively preparing for certification or audit cycles
What you walk away with
- Design control mappings that reflect actual system behavior in ServiceNow environments
- Produce audit-ready documentation packages in under one week
- Validate control effectiveness with traceable, system-backed evidence
- Translate ISO 42001 clauses into automated workflow checks
- Lead internal upskilling on AI governance without relying on external consultants
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and Its Role in AI Governance
Establish a clear foundation of ISO 42001’s structure, intent, and alignment with existing GRC frameworks. Learn how it differs from generic AI ethics and maps to technical implementation in enterprise systems.
12 chapters in this module
- What ISO 42001 solves that other standards don't
- How ISO 42001 fits within the broader compliance landscape
- Key differences between AI ethics and AI governance
- The role of auditable control design in AI systems
- Mapping ISO 42001 to technical implementation layers
- Understanding the AI management system (AIMS) structure
- Clause-by-clause breakdown of the standard
- How ISO 42001 interacts with SOC 2 and NIST CSF
- The importance of documented roles and responsibilities
- Identifying scope boundaries for AI governance
- Common misconceptions about ISO 42001 certification
- Why technical practitioners lead successful implementations
Module 2. Scoping AI Systems Under ISO 42001
Learn how to define the boundaries of AI governance within complex platforms like ServiceNow, ensuring coverage without overreach.
12 chapters in this module
- Defining what counts as an AI system in practice
- Using process maps to isolate AI-enabled workflows
- Determining governance scope based on risk exposure
- Documenting scope decisions for auditor review
- Aligning scope with existing ITIL and change management
- Handling edge cases: automation vs AI
- Version control for scope documentation
- Engaging developers in scope definition
- Avoiding over-scoping through modular design
- Mapping scope to compliance reporting cycles
- Using ServiceNow CMDB to track AI assets
- Building scope diagrams that auditors accept
Module 3. Leadership and Organizational Context
Establish accountability and governance structures that meet ISO 42001’s leadership requirements without creating redundant overhead.
12 chapters in this module
- Defining roles: AI owner, controller, processor
- Integrating AI governance into existing compliance roles
- Documenting leadership commitment effectively
- Creating governance charters that stick
- Linking AI oversight to audit and risk committees
- Avoiding governance theater in AI programs
- Onboarding leaders without overwhelming them
- Using RACI models for AI control ownership
- Measuring leadership engagement in governance
- Handling leadership turnover in AI initiatives
- Aligning AI governance with ESG reporting
- Communicating governance structure to auditors
Module 4. Risk Assessment for AI Systems
Apply a structured methodology to identify, assess, and prioritize AI-related risks specific to enterprise operations.
12 chapters in this module
- Identifying inherent risks in AI decision-making
- Using threat modeling for AI use cases
- Assessing bias, explainability, and drift risks
- Quantifying risk likelihood and impact
- Mapping risks to control objectives
- Leveraging ServiceNow risk tables for AI
- Documenting risk assessments for audit
- Updating risk registers dynamically
- Integrating AI risk with enterprise risk management
- Avoiding generic risk templates
- Using real-world examples to ground risk claims
- Validating risk assessments with technical teams
Module 5. Control Design and Implementation
Translate ISO 42001 requirements into actionable, verifiable controls within technical environments.
12 chapters in this module
- Mapping clauses to technical controls
- Designing controls for explainability and transparency
- Building bias detection into model pipelines
- Creating drift monitoring workflows
- Using ServiceNow to automate control checks
- Documenting control design decisions
- Ensuring controls are testable and repeatable
- Integrating controls with change management
- Versioning control implementations
- Avoiding over-engineering in control design
- Balancing rigor with operational feasibility
- Getting developer buy-in on control implementation
Module 6. Documentation and Evidence Management
Produce audit-ready packages that demonstrate compliance without last-minute scrambling.
12 chapters in this module
- What auditors actually look for in ISO 42001
- Structuring the SoA for clarity and completeness
- Creating control implementation records
- Using templates without losing specificity
- Linking documentation to system evidence
- Version control for compliance artifacts
- Storing evidence in accessible repositories
- Automating evidence collection in ServiceNow
- Reducing documentation rework cycles
- Preparing for auditor walkthroughs
- Common documentation gaps in AI governance
- Building a living documentation system
Module 7. Internal Audit and Continuous Monitoring
Establish routines to verify control effectiveness and maintain compliance between external audits.
12 chapters in this module
- Scheduling internal AI control reviews
- Designing audit checklists for ISO 42001
- Using ServiceNow workflows for audit tracking
- Identifying control breakdowns early
- Reporting findings to governance bodies
- Prioritizing remediation efforts
- Integrating monitoring with incident response
- Creating audit trails for AI decisions
- Validating model performance over time
- Handling false positives in monitoring
- Building trust through transparent audits
- Scaling internal audit across AI use cases
Module 8. Third-Party and Vendor Governance
Extend ISO 42001 requirements to vendor AI systems and managed services.
12 chapters in this module
- Assessing vendor AI governance maturity
- Reviewing third-party model documentation
- Contractual requirements for AI transparency
- Auditing vendor control claims
- Managing AI in SaaS platforms
- Handling model updates from vendors
- Defining responsibilities for joint control
- Using SIG and CAIQ questionnaires
- Documenting vendor oversight processes
- Handling vendor non-compliance
- Building vendor governance into procurement
- Creating vendor scorecards for AI risk
Module 9. Training and Awareness Programs
Develop targeted education to ensure organizational understanding of AI governance responsibilities.
12 chapters in this module
- Identifying training audiences by role
- Creating role-specific AI governance modules
- Using real incidents to drive engagement
- Delivering training through ServiceNow
- Measuring training effectiveness
- Avoiding compliance fatigue
- Integrating training with onboarding
- Updating content for new AI use cases
- Documenting completion for auditors
- Using quizzes to reinforce learning
- Scaling training across regions
- Building a culture of AI accountability
Module 10. Management Review and Continuous Improvement
Run effective review cycles that drive governance maturity without creating reporting overhead.
12 chapters in this module
- Scheduling management review meetings
- Agenda design for AI governance updates
- Reporting key metrics and trends
- Identifying improvement opportunities
- Tracking action items to closure
- Using ServiceNow to manage review cycles
- Linking reviews to strategic goals
- Avoiding boilerplate reporting
- Engaging leadership in improvements
- Measuring governance maturity over time
- Benchmarking against peer organizations
- Documenting review outcomes for auditors
Module 11. Certification Readiness and External Audit
Prepare for external assessment with confidence by aligning internal practices with auditor expectations.
12 chapters in this module
- Selecting an accredited certification body
- Understanding audit stages and timelines
- Preparing the certification package
- Conducting pre-audit readiness checks
- Handling auditor questions effectively
- Responding to nonconformities
- Using mock audits to build confidence
- Coordinating evidence access
- Managing auditor access to systems
- Addressing scope clarification requests
- Closing findings before final review
- Celebrating certification success
Module 12. Scaling AI Governance Across the Enterprise
Expand governance practices to new AI initiatives while maintaining consistency and reducing duplication.
12 chapters in this module
- Creating reusable governance templates
- Establishing a center of excellence
- Onboarding new teams efficiently
- Standardizing control patterns
- Using ServiceNow to track AI governance
- Integrating with enterprise architecture
- Managing governance for shadow AI
- Building executive dashboards
- Sharing best practices across units
- Reducing time-to-compliance for new projects
- Measuring ROI of governance efforts
- Evolving the program based on feedback
How this maps to your situation
- Control design under audit pressure
- Documentation that survives auditor scrutiny
- Cross-functional alignment on AI governance
- Sustainable compliance in fast-moving environments
Before vs. after
Before
Spending weeks assembling control evidence, only to face rework during auditor review
After
Producing audit-ready packages in under one week with traceable system-backed validation
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 90 minutes per week over six weeks, with flexible access to all materials.
If nothing changes
Without a structured approach, teams risk delayed certifications, repeated auditor findings, and governance debt that grows with each new AI initiative.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on ISO 42001 implementation in technical environments, with direct application to ServiceNow-based workflows and audit requirements.
Frequently asked
Is this course focused on ISO 42001 only?
Yes, the entire course is built around mastering ISO 42001 implementation, with specific attention to AI governance in enterprise systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-AI systems?
The principles are tailored to AI governance, but the control design and documentation methods apply broadly to complex technical compliance.
$199 one-time. Approximately 90 minutes per week over six weeks, with flexible access to all materials..
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