A tailored course, built for your situation
Influence across more business lines with ISO 42001
Turn AI governance from a siloed requirement into a cross-functional asset
Who this is for
Mid-level compliance and change analyst in a global services firm, working across ITIL and governance frameworks to operationalize new standards
Who this is not for
Executives looking for board-level summaries, or technical AI auditors focused on model validation
What you walk away with
- Lead ISO 42001 implementation in a way that invites participation from non-compliance teams
- Produce artefacts that get reused across divisions and geographies
- Become the go-to contact for AI governance clarity in cross-functional initiatives
- Design scalable control mappings that reduce rework during expansion
- Shape how AI governance is interpreted beyond the initial project scope
The 12 modules (with all 144 chapters)
- The rise of AI management systems
- How ISO 42001 differs from NIST AI RMF
- Integration with IT service management
- AI governance vs AI ethics
- The role of the analyst in deployment
- Where ISO 42001 creates new ownership
- Mapping AI risks to business impact
- The audit readiness advantage
- Linking AI controls to change requests
- How certification creates influence
- The difference between compliance and authority
- First-mover advantage in adoption
- From checklist to capability
- Speaking to engineering teams
- Framing for business units
- Connecting AI controls to outcomes
- Using ISO 42001 as a collaboration tool
- Avoiding governance jargon
- Telling the story to change leads
- Aligning with project timelines
- Making governance visible
- The power of consistent language
- Building internal demand
- Positioning yourself as the guide
- The anatomy of a reusable SoA
- Template design principles
- Version control for governance docs
- Embedding change tracking
- Standardizing risk statements
- Creating modular control descriptions
- Designing for non-experts
- Making artefacts searchable
- Linking to existing ITIL processes
- Documenting assumptions clearly
- Using metadata to increase reuse
- Building a living playbook
- Identifying early adopter units
- Assessing readiness levels
- Tailoring without weakening
- Scaling through enablement
- Training local champions
- Creating onboarding packs
- Tracking adoption metrics
- Managing regional variations
- Working with local compliance
- Avoiding governance sprawl
- Maintaining central oversight
- Building feedback loops
- Mapping controls to change types
- Integrating into CAB reviews
- Automating evidence collection
- Linking to incident management
- Handling emergency changes
- Documenting AI-related changes
- Setting thresholds for review
- Creating change templates
- Aligning with release cycles
- Tracking rollback implications
- Using change data for audits
- Building governance into approvals
- Answering the same question once
- Building a reference library
- Documenting decisions transparently
- Creating FAQ for teams
- Using examples effectively
- Anticipating pushback
- Preparing for escalation points
- Shaping early design choices
- Becoming the default reviewer
- Influencing without authority
- Earning trusted advisor status
- Scaling your impact
- Understanding certification scope
- Building the implementation plan
- Assigning roles and responsibilities
- Tracking control maturity
- Preparing for internal audits
- Working with external auditors
- Responding to findings
- Maintaining certification
- Using surveillance audits
- Updating documentation
- Managing scope changes
- Celebrating milestones
- Principles of modular controls
- Categorizing AI risks
- Grouping by impact level
- Mapping to ISO 42001 clauses
- Using control libraries
- Designing for reuse
- Handling exceptions
- Documenting rationale
- Linking to technical controls
- Automating evidence
- Reviewing for completeness
- Updating as AI evolves
- Understanding legal boundaries
- Mapping to GDPR and AI Act
- Handling data subject rights
- Working with DPOs
- Aligning with privacy by design
- Documenting data flows
- Managing cross-border issues
- Responding to inquiries
- Sharing governance artefacts
- Building joint playbooks
- Resolving conflicts
- Creating escalation paths
- Assessing regional requirements
- Managing language barriers
- Working with local counsel
- Aligning with regional standards
- Handling cultural differences
- Training distributed teams
- Monitoring compliance remotely
- Using centralized tooling
- Supporting local champions
- Adapting communication style
- Maintaining global consistency
- Reporting across regions
- Measuring governance impact
- Creating progress dashboards
- Reporting beyond checkbox metrics
- Highlighting risk reduction
- Telling the ROI story
- Using case studies
- Presenting to leadership
- Linking to business outcomes
- Showing efficiency gains
- Positioning as strategic
- Avoiding fear-based messaging
- Celebrating wins
- Anticipating new AI use cases
- Updating governance for innovation
- Engaging with R&D teams
- Shaping procurement criteria
- Influencing vendor selection
- Setting governance standards
- Managing technical debt
- Planning for audits
- Driving continuous improvement
- Leading updates to SoA
- Mentoring junior analysts
- Leaving a lasting framework
How this maps to your situation
- When starting a new AI governance initiative
- During cross-functional rollout
- Before an audit or certification
- When expanding into new regions or business lines
Before vs. after
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 3 hours per module, designed to fit around delivery commitments.
How this compares to the alternatives
Unlike generic AI ethics courses or high-level compliance overviews, this course is built for practitioners who need to implement ISO 42001 in real projects, with templates and playbooks that integrate directly into existing change and governance workflows.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.