A tailored course, built for your situation
Influence across more business units with ISO 42001
Lead AI governance rollouts across global operations using the new international standard
$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.
Struggling to align AI governance across business units?
The situation this course is for
Teams apply AI policies inconsistently, leading to compliance drift and duplicated effort across regions.
Who this is for
Senior Manager in global consulting, leading cross-functional AI governance initiatives
Who this is not for
Entry-level analysts or specialists focused on single-region deployments
What you walk away with
- Deploy ISO 42001 consistently across multiple business lines
- Lead cross-regional AI governance rollouts with documented workflows
- Become the reference point for AI accountability in matrixed environments
- Standardize AI risk assessments across client and internal programs
- Accelerate adoption by tailoring ISO 42001 to local regulatory expectations
The 12 modules (with all 144 chapters)
Module 1. Why ISO 42001 is different from other AI frameworks
Understand the scope, intent, and business value of ISO 42001 compared to legacy governance models.
12 chapters in this module
- The rise of AI management systems
- How ISO 42001 differs from NIST AI RMF
- Core principles of the standard
- Mapping to existing governance practices
- Global recognition and adoption trends
- Integration with ESG reporting
- Role clarity in multi-vendor environments
- Avoiding duplication with ISO 9001
- Timing the rollout across fiscal cycles
- Stakeholder alignment priorities
- Common misconceptions clarified
- First steps after leadership endorsement
Module 2. Scoping AI management across business units
Define boundaries for ISO 42001 application across geographies and functions.
12 chapters in this module
- Identifying in-scope AI systems
- Exclusion justification rules
- Multi-country deployment considerations
- Aligning with local data laws
- Defining organizational context
- Documenting scope confidently
- Handling edge cases
- Stakeholder input collection
- Version control for scope statements
- Audit readiness for scope claims
- Common scope overreach mistakes
- Maintaining scope clarity over time
Module 3. Leadership commitment and policy rollout
Secure executive sponsorship and communicate intent across teams.
12 chapters in this module
- Crafting leadership statements
- Aligning with corporate AI principles
- Internal communication planning
- Tailoring messaging by business unit
- Tracking leadership sign-off
- Policy versioning and storage
- Measuring policy comprehension
- Onboarding new leaders
- Connecting policy to accountability
- Handling policy exceptions
- Documenting commitment decisions
- Audit evidence for leadership
Module 4. Risk assessment tailored to AI contexts
Apply ISO 42001 risk criteria consistently across varied use cases.
12 chapters in this module
- Defining risk criteria upfront
- Identifying AI-specific hazards
- Stakeholder impact mapping
- Inherent vs residual risk
- Risk tolerance thresholds
- Documenting risk treatment plans
- Escalation paths for high-risk AI
- Third-party risk integration
- Reassessment triggers
- Linking to SOC 2 controls
- Common risk assessment gaps
- Validating risk decisions
Module 5. Building cross-functional AI governance teams
Establish roles and coordination mechanisms for sustained implementation.
12 chapters in this module
- Defining core team responsibilities
- Engaging legal and compliance
- Involving HR in AI ethics
- Managing external consultants
- Rotating team participation
- Meeting rhythm design
- Decision logging standards
- Conflict resolution protocols
- Escalating unresolved items
- Tracking action completion
- Measuring team effectiveness
- Refreshing team composition
Module 6. Designing AI system lifecycle controls
Implement governance requirements across development and deployment phases.
12 chapters in this module
- Mapping controls to lifecycle stages
- Data provenance tracking
- Model validation expectations
- Human oversight mechanisms
- Performance monitoring design
- Bias detection integration
- Incident response planning
- Change management for models
- Version control for datasets
- Decommissioning procedures
- Audit trail requirements
- Vendor AI system oversight
Module 7. Knowledge management for AI competence
Ensure staff maintain required expertise across locations.
12 chapters in this module
- Defining role-specific training
- Curating internal knowledge bases
- Tracking staff certifications
- Onboarding new team members
- Maintaining vendor knowledge
- External audit preparation
- Lessons learned documentation
- Updating training materials
- Competency assessment cycles
- Cross-unit knowledge sharing
- Measuring knowledge retention
- Handling high turnover
Module 8. Documented information requirements
Produce and maintain ISO 42001-compliant records across teams.
12 chapters in this module
- List of required documents
- Version control practices
- Access control policies
- Retention period definitions
- Storage location standards
- Document naming conventions
- Review and approval workflows
- Audit trail for changes
- Cross-language considerations
- Automated document generation
- Common documentation gaps
- Preparing for auditor requests
Module 9. Internal audit program for AI governance
Plan and execute audits that drive improvement without duplication.
12 chapters in this module
- Audit frequency planning
- Auditor selection criteria
- Developing audit checklists
- Scheduling across time zones
- Remote audit techniques
- Sampling methods for AI systems
- Reporting findings clearly
- Tracking corrective actions
- Audit independence safeguards
- Linking to external audits
- Training internal auditors
- Improving audit efficiency
Module 10. Management review and performance evaluation
Present governance outcomes to leadership with strategic clarity.
12 chapters in this module
- Defining KPIs for AI governance
- Preparing management review packs
- Reporting on risk treatment
- Highlighting compliance status
- Presenting audit results
- Tracking resource allocation
- Evaluating policy effectiveness
- Benchmarking against peers
- Adjusting governance scope
- Succession planning input
- Strategic alignment updates
- Documenting review outcomes
Module 11. Continual improvement of AI management
Drive ongoing enhancements based on data and feedback.
12 chapters in this module
- Identifying improvement opportunities
- Prioritizing changes
- Implementing updates efficiently
- Tracking improvement impact
- Soliciting team feedback
- Benchmarking against standards
- Adopting new best practices
- Managing change resistance
- Validating improvement results
- Updating documented processes
- Scaling successful pilots
- Celebrating improvements
Module 12. Preparing for third-party certification
Navigate external audits and achieve ISO 42001 certification.
12 chapters in this module
- Selecting certification bodies
- Pre-certification gap analysis
- Engaging auditors effectively
- Preparing site evidence
- Scheduling audit windows
- Handling nonconformities
- Corrective action timelines
- Maintaining certification
- Surveillance audit prep
- Re-certification process
- Cost management strategies
- Maximizing business value post-certification
How this maps to your situation
- Rolling out AI governance across multiple client sectors
- Leading ISO 42001 implementation in matrixed organizations
- Aligning AI practices across European and APAC regions
- Integrating AI management with existing compliance frameworks
Before vs. after
Before
AI governance efforts are fragmented across teams, with inconsistent application and limited visibility into compliance status.
After
Consistent, auditable AI governance led by you across business units and regions, with clear ownership and standardized practices.
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 hours per week over 12 weeks to complete all modules and apply templates.
If nothing changes
Without structured governance, AI initiatives risk regulatory scrutiny, reputational damage, and operational inefficiencies that erode client trust and team velocity.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers ISO 42001-specific implementation tools and real-world examples tailored to global consulting environments.
Frequently asked
Is this course suitable for practitioners outside of the firm?
Yes, the content is designed for senior practitioners in global consulting and enterprise environments leading AI governance initiatives.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does the course cover differences between ISO 42001 and other AI frameworks?
Yes, module one provides detailed comparisons with NIST AI RMF, OECD principles, and internal governance models.
$199 one-time. Approximately 2 hours per week over 12 weeks to complete all modules and apply templates..
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