A tailored course, built for your situation
Repeatable artefacts that compound across AI governance deliveries
Build a self-reinforcing library of AI governance assets validated against OECD AI Principles
$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.
Who this is for
Senior data governance practitioner in a fast-moving AI and data platform environment
Who this is not for
Entry-level compliance staff, auditors focused only on checklists, or those outside data and AI governance delivery roles
What you walk away with
- Produce AI governance documentation that survives team changes and scales across use cases
- Reuse and adapt control frameworks without rework, aligned with OECD AI Principles
- Build a personal IP library of templates that accelerate future AI governance cycles
- Turn one-off deliverables into a compounding asset base used across teams and quarters
- Gain recognition as the source of go-to artefacts in AI governance discussions
The 12 modules (with all 144 chapters)
Module 1. Foundations of compounding governance artefacts
Learn how top practitioners design AI governance outputs to be reused, not rewritten. Start with the core structure of self-improving documentation systems grounded in OECD AI Principles.
12 chapters in this module
- Defining compounding in governance work
- OECD AI Principles as reusable foundation
- From one-off to repeatable artefact mindset
- Mapping governance scope to reuse potential
- Identifying high-leverage documentation nodes
- Designing for cross-project adaptability
- Embedding version logic into templates
- Naming conventions that scale over time
- Ownership models for shared artefacts
- Version control for non-code outputs
- Tracking reuse impact over time
- Building your first compounding asset
Module 2. Designing AI risk registers that scale
Transform risk logs from isolated spreadsheets into living archives that grow more valuable with each audit. Implement patterns proven in high-velocity AI environments.
12 chapters in this module
- Standardising risk taxonomy using OECD AI Principles
- Building risk inheritance into new projects
- Tagging risks for cross-functional reuse
- Automatable risk decision trees
- Linking registers to control frameworks
- Versioning risk assessments over time
- Creating risk profile templates by use case
- Embedding escalation thresholds
- Maintaining provenance across updates
- Integrating with incident response playbooks
- Benchmarking risk coverage completeness
- Using registers as training accelerators
Module 3. Reusable policy architecture
Shift from drafting policies per project to assembling them from trusted components. This module covers how to create a policy library grounded in OECD AI Principles that compounds across domains.
12 chapters in this module
- Modular policy design principles
- Core policy statements as reusable blocks
- OECD-aligned clauses for AI transparency
- Dynamic versioning across jurisdictions
- Template governance for policy fragments
- Assembly workflows for new policies
- Change propagation logic
- Stakeholder review cycles that scale
- Policy lineage and attribution tracking
- Automated gap-checking against new standards
- Integration with platform-level controls
- Policy sunset and renewal protocols
Module 4. Control mapping systems that compound
Stop recreating control inventories. Learn to build a central control library that grows smarter with each assessment and accelerates compliance against OECD AI Principles.
12 chapters in this module
- Defining canonical control statements
- Mapping controls to multiple frameworks
- OECD AI Principles control equivalences
- Building reusable test procedures
- Evidence collection automation patterns
- Cross-audit control validation
- Control maturity scoring over time
- Ownership assignment at scale
- Integration with vendor assessment
- Dynamic control inheritance
- Version-aware control mappings
- Audit-ready packages in minutes
Module 5. Stakeholder engagement playbooks
Turn ad hoc conversations into repeatable engagement patterns. Capture what works so your influence compounds across teams and leadership cycles.
12 chapters in this module
- Mapping stakeholder types by decision stage
- Pre-built messaging for AI governance
- OECD AI Principles as alignment tool
- Objection library and response templates
- Escalation paths for deadlocks
- Feedback capture into playbook updates
- Reusing engagement timelines
- Stakeholder onboarding accelerators
- Cross-functional alignment patterns
- Building trust through consistency
- Documenting successful tactics
- Playbook versioning and access
Module 6. Vendor assessment accelerators
Create reusable evaluation systems for third-party AI tools that compound assurance across procurement cycles.
12 chapters in this module
- Standardising AI vendor questionnaires
- OECD AI Principles in vendor scoring
- Risk-weighted assessment tiers
- Reusable evidence request templates
- Automatable scoring models
- Historical vendor performance tracking
- Pre-approved control substitution rules
- Third-party audit report integration
- Due diligence package assembly
- Escalation thresholds for red flags
- Relationship lifecycle documentation
- Post-assessment follow-up workflows
Module 7. Cross-functional workflow integration
Design governance touchpoints that embed into data and AI workflows without friction. Learn how to make compounding assets part of daily work.
12 chapters in this module
- Identifying integration points in MLOps
- Governance handoff triggers
- Automated artefact population
- Role-based access to shared assets
- Change detection and alerting
- Feedback loops from engineering teams
- Version sync across systems
- Documentation living alongside code
- Governance checkpoint design
- Reducing review cycle time
- Embedding OECD principles in workflows
- Measuring integration maturity
Module 8. Evidence generation at scale
Shift from manual evidence collection to automated, reusable systems. Build confidence that compounds across audits.
12 chapters in this module
- Designing evidence-first artefacts
- Automated log harvesting strategies
- Standardising screenshots and exports
- Versioned evidence repositories
- Cross-audit reuse tracking
- Evidence tagging by control
- Chain of custody documentation
- Pre-audit package assembly
- Evidence freshness thresholds
- Integration with monitoring tools
- Provenance verification techniques
- Audit-day readouts in minutes
Module 9. Knowledge transfer systems
Ensure your governance expertise compounds beyond your immediate team. Design handoffs that preserve institutional value.
12 chapters in this module
- Onboarding accelerators for new hires
- Role-specific knowledge paths
- Searchable Q&A repositories
- Retirement-proof documentation
- Mentorship playbook templates
- Cross-team shadowing frameworks
- Expertise mapping across roles
- Lessons learned capture rituals
- Knowledge decay prevention
- External contributor onboarding
- Community of practice structures
- Recognition for knowledge sharing
Module 10. Personal IP library curation
Systematically grow a personal portfolio of governance assets that compound your influence and value across engagements.
12 chapters in this module
- Defining your core reusable assets
- Private vs shared library design
- Ownership and licensing considerations
- Versioning personal templates
- Usage tracking and impact metrics
- Portfolio presentation for promotions
- Selective sharing strategies
- Building signature methodologies
- Documenting innovation cycles
- Feedback integration loops
- Archiving obsolete versions
- Maintaining freshness over time
Module 11. Compounding across organisational boundaries
Extend the reach of your artefacts beyond your current role. Learn how to make your governance systems influential at scale.
12 chapters in this module
- Identifying cross-team reuse opportunities
- Building alliances with peer functions
- Packaging artefacts for external use
- Contributing to open standards
- Speaking and publication strategies
- Benchmarking against industry peers
- Adapting for regulatory submissions
- Licensing models for external use
- Building external credibility
- Feedback loops from adopters
- Scaling impact beyond tenure
- Legacy planning for practitioner work
Module 12. Long-term evolution of compounding systems
Ensure your governance assets remain valuable for years. Design for adaptability, resilience, and continued relevance.
12 chapters in this module
- Anticipating regulatory shifts
- Framework update integration patterns
- Technology change preparedness
- Succession planning for assets
- Measuring long-term impact
- Updating without disrupting
- Artefact retirement protocols
- Community feedback integration
- Version lineage tracking
- Auditing asset effectiveness
- Reinvention triggers
- Sustaining compounding momentum
How this maps to your situation
- Starting a new AI governance cycle
- Responding to audit findings
- Onboarding new team members
- Scaling governance across business units
Before vs. after
Before
Creating governance assets from scratch each time, with no system for reuse or adaptation.
After
Turning every governance cycle into a foundation for future work, with a growing library of trusted, adaptable artefacts.
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 week over 12 weeks, with self-paced access.
If nothing changes
Without a system for compounding, each new project starts from zero, wasting time, increasing inconsistency, and limiting your impact over time.
How this compares to the alternatives
Unlike one-size-fits-all compliance courses, this program is built for senior practitioners who need systems that compound value across real-world AI governance cycles.
Frequently asked
Who is this course for?
Senior data and AI governance practitioners who want to turn their work into reusable, compounding assets.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with OECD AI Principles compliance?
Yes, every module is designed to help you create artefacts that align with and demonstrate compliance with OECD AI Principles.
$199 one-time. Approximately 3 hours per week over 12 weeks, with self-paced access..
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