A tailored course, built for your situation
Deeper command of the ISO 42001 framework for AI governance
Master the emerging standard shaping responsible AI systems
$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.
Generic AI governance training leaves practitioners unprepared for framework-level decision-making
The situation this course is for
Most programs focus on surface compliance without building true command of the ISO 42001 structure. This leaves practitioners dependent on others for control mapping, lagging in audit cycles, and excluded from strategic design conversations.
Who this is for
Senior technical practitioner in regulated environments expanding into AI governance roles
Who this is not for
Entry-level auditors, non-technical compliance staff, or consultants without implementation experience
What you walk away with
- Interpret ISO 42001 requirements with precision and apply them to technical systems
- Map controls directly to SAP-based data workflows and governance layers
- Produce audit-ready statements of applicability without review loops
- Lead internal alignment sessions on AI management system scope and boundaries
- Anticipate assessor questions and structure documentation proactively
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and AI management systems
Understand the intent, structure, and organizational implications of ISO 42001. Explore how it differs from general AI ethics guidance and why structured implementation matters.
12 chapters in this module
- What ISO 42001 is designed to achieve
- Origins in ISO IEC 38500 and AI accountability
- Core components of an AI management system
- Relationship to existing IT governance frameworks
- How CGI and similar firms are applying it
- Scope definition in hybrid cloud environments
- Roles in implementation teams
- Timeline for first certification
- Common misconceptions about certification
- Integration with existing SAP governance
- Benchmarking against early adopters
- First steps in scoping an AIMS
Module 2. Understanding organizational context
Learn how to define internal and external stakeholders influencing AI governance. Build accurate context diagrams tied to enterprise architecture.
12 chapters in this module
- Identifying AI system stakeholders
- Regulatory pressure points by region
- Internal influencers in tech and compliance
- Data sourcing dependencies
- Vendor relationships affecting AI use
- Legacy system constraints
- SAP BW as a governance touchpoint
- Cloud platform boundary considerations
- Legal entity alignment
- Risk tolerance by business unit
- Documenting decision context
- Validating context with stakeholders
Module 3. Leadership and policy commitment
Translate executive intent into enforceable AI policies. Structure documentation that survives leadership transitions.
12 chapters in this module
- Defining leadership roles in AI governance
- Writing policy statements that scale
- Gaining formal sign-off from technical leads
- Aligning with existing SAP governance policy
- Version control for policy updates
- Communication plans for rollout
- Ownership models for updates
- Handling exceptions and waivers
- Linking policy to audit requirements
- Maintaining policy relevance
- Documenting policy decisions
- Avoiding overreach in policy scope
Module 4. Planning AI system lifecycle controls
Design control points across development, deployment, and decommissioning phases. Integrate with existing change management workflows.
12 chapters in this module
- Lifecycle stages in ISO 42001
- Control requirements at each stage
- Integration with SAP transport management
- Change advisory board coordination
- Versioning AI models and logic
- Deprecation planning for AI assets
- Data lineage tracking requirements
- Model retraining triggers
- Performance monitoring integration
- Incident response for AI outputs
- Documenting control design
- Control ownership assignment
Module 5. Resource management and competence
Assess team readiness, identify skill gaps, and structure training plans aligned with ISO 42001 expectations.
12 chapters in this module
- Competence requirements for AI roles
- Skills inventory for governance teams
- Training records and evidence
- Third-party vendor oversight
- Onboarding for new team members
- Knowledge transfer between teams
- Documentation ownership rotation
- SAP BW expertise as a foundation
- Cross-functional collaboration design
- Tooling proficiency expectations
- External auditor coordination
- Maintaining team capability logs
Module 6. Awareness and communication
Build internal awareness programs that drive adoption without overloading teams. Structure role-specific messaging.
12 chapters in this module
- Awareness vs training distinction
- Targeting developers with practical guidance
- Communicating to SAP administrators
- Engaging compliance officers
- Leadership communication cadence
- Feedback loops from users
- Internal campaign design
- Using existing SAP portals
- Measuring engagement effectiveness
- Updating materials quarterly
- Documenting awareness efforts
- Scaling messaging across regions
Module 7. Documented information management
Structure files, folders, and versioning logic to meet ISO 42001 audit requirements. Integrate with existing document control systems.
12 chapters in this module
- Types of documented information
- Naming conventions for audit trails
- Storage locations and access rights
- Retention periods by document type
- Version control in SharePoint
- Linking to SAP change records
- Approval workflows for updates
- Backup and recovery requirements
- Access logs and tracking
- Handling sensitive AI documentation
- Audit readiness checks
- Automating document status
Module 8. Operational planning and control
Translate high-level policies into technical controls. Map requirements to configuration settings in cloud and on-prem systems.
12 chapters in this module
- From policy to implementation
- Control design in cloud environments
- SAP-based data governance integration
- Model input validation controls
- Output monitoring mechanisms
- Bias detection frequency
- Human-in-the-loop thresholds
- Logging requirements for AI decisions
- Integration with security tools
- Review cycles for control efficacy
- Updating controls after incidents
- Documenting control rationale
Module 9. Monitoring measurement and evaluation
Define KPIs, set baselines, and structure reporting that drives continuous improvement in AI governance.
12 chapters in this module
- KPI selection for AI systems
- Baseline establishment process
- Data collection methods
- Reporting cadence to leadership
- Dashboards for governance teams
- Linking to SAP operational reports
- Audit preparation cycles
- Internal review meetings
- Corrective action tracking
- Trend analysis over time
- Benchmarking against peers
- Improvement planning
Module 10. Internal audit preparation
Build a repeatable process for internal audits. Structure evidence collection to reduce last-minute effort.
12 chapters in this module
- Audit planning calendar
- Internal auditor qualifications
- Checklist development
- Evidence collection templates
- Scheduling team interviews
- Reviewing SAP access logs
- Control testing methodology
- Findings documentation
- Follow-up tracking
- Reporting to governance committees
- Preparing for external audits
- Building audit playbooks
Module 11. Management review and improvement
Structure executive reviews that drive action. Link findings to budget and roadmap decisions.
12 chapters in this module
- Frequency of management reviews
- Agenda design for leadership
- Reporting AI risk posture
- Resource requests from teams
- Prioritizing improvements
- Linking to investment planning
- Tracking resolution of findings
- Updating governance scope
- Communicating outcomes
- Integrating with SAP roadmap
- Budget alignment
- Documentation of decisions
Module 12. Certification readiness and maintenance
Prepare for external audit and maintain compliance. Structure ongoing review cycles that prevent backsliding.
12 chapters in this module
- Selecting certification bodies
- Pre-certification gap assessment
- Engagement timeline
- Evidence submission process
- Audit day coordination
- Handling non-conformities
- Corrective action planning
- Surveillance audit preparation
- Re-certification cycle
- Continuous improvement tracking
- Updating for new AI projects
- Maintaining ISO 42001 momentum
How this maps to your situation
- New AI governance mandate in regulated environment
- Preparing for first external audit
- Expanding governance scope beyond data privacy
- Aligning AI use with global compliance standards
Before vs. after
Before
Reactive responses to audit requests, unclear ownership of AI governance controls, dependence on external consultants for framework interpretation
After
Proactive control design, precise application of ISO 42001 requirements, internal recognition as a go-to expert, reduced review cycles
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 be completed alongside full-time work over 6-8 weeks.
If nothing changes
Without structured mastery of ISO 42001, practitioners risk being sidelined in AI governance decisions, relying on consultants for basic interpretations, and missing opportunities to lead in high-visibility initiatives.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on ISO 42001 implementation in technical environments. It includes SAP-specific examples, unlike board-level governance overviews or vendor-specific certifications.
Frequently asked
Who is this course for?
Senior technical practitioners in regulated industries who are expected to implement or govern AI systems using structured frameworks.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is SAP BW experience required?
No, but the examples and templates are tailored for professionals with SAP integration experience.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside full-time work over 6-8 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