A tailored course, built for your situation
Repeatable artefacts that compound across AI governance deliveries
Build a living library of governance assets that grow more valuable with every project
$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.
Starting from scratch on every AI governance engagement
The situation this course is for
High-performing practitioners keep reinventing the wheel because their artefacts don’t survive the project. Templates get lost, mappings aren’t standardised, and insights die in silos, eroding influence and efficiency over time.
Who this is for
Senior IC in tech with a Scrum and governance background, delivering repeatable frameworks in AI or data governance
Who this is not for
Entry-level contributors, managers without technical delivery experience, or those focused solely on policy without implementation
What you walk away with
- A personal library of reusable governance artefacts
- Standardised templates for AI risk assessments aligned with OECD AI Principles
- Documented decision trails that build credibility across stakeholders
- Cross-project consistency that reduces delivery time by half
- Increased visibility and influence as go-to owner of repeatable frameworks
The 12 modules (with all 144 chapters)
Module 1. Foundations of compounding governance work
How top practitioners design each delivery to generate long-term assets, not just closure.
12 chapters in this module
- The compounding mindshift
- From output to reusable asset
- OECD AI Principles as anchor
- Mapping once, using often
- Naming governance decisions
- Versioning without noise
- Ownership without gatekeeping
- Clarity over completeness
- Pattern recognition in delivery
- Documenting with reuse in mind
- The role of narrative
- Building credibility assets
Module 2. Asset-aware project scoping
Designing engagements so every phase produces shelf-stable materials.
12 chapters in this module
- Scope for reuse upfront
- Identify compoundable elements
- Stakeholder inputs as templates
- Baseline assessment packaging
- Risk register structure
- Control mapping standards
- Decision logs by default
- Meeting notes into artefacts
- Review cycles as refinement
- Sign-off records archive
- Version naming convention
- Handover preparation
Module 3. Building the core IP library
Creating the first set of living documents that grow stronger with each use.
12 chapters in this module
- Core document types
- AI accountability matrix
- Ethical use checklist
- Transparency statement template
- Human oversight mapping
- Bias assessment protocol
- Model lifecycle schema
- Data provenance framework
- Incident response playbook
- Audit preparation kit
- Stakeholder comms library
- Regulatory mapping index
Module 4. OECD AI Principles implementation
Operationalising the five principles into actionable, reusable frameworks.
12 chapters in this module
- Transparency cold
- Fairness by design
- Safety embedded
- Human agency preserved
- Technical robustness
- Accountability structure
- Mapping to controls
- Evidence collection
- Third-party alignment
- Internal adoption
- Gap analysis template
- Compliance tracking
Module 5. Template design for longevity
Crafting documents that stay relevant and require minimal updates.
12 chapters in this module
- Modular structure
- Placeholder strategy
- Version control system
- Change log discipline
- Static vs dynamic fields
- Organisational anchoring
- Naming conventions
- Location standardisation
- Access control model
- Retention policy
- Review triggers
- Decommissioning path
Module 6. Evidence architectures
Structuring proof collections so they survive team and leadership changes.
12 chapters in this module
- Evidence by control
- Source trail linkage
- Timestamped records
- Cross-reference system
- Automated capture points
- Manual input protocols
- Audit readiness check
- Gap flagging
- Remediation logging
- Historical comparison
- Year-over-year tracking
- Regulator-facing packaging
Module 7. Narrative engineering
Building compelling stories around governance that stick and spread.
12 chapters in this module
- Problem framing
- Stakeholder language
- Use case documentation
- Success metrics definition
- Failure mode transparency
- Lessons learned format
- Case study writing
- Executive summary
- Team-level briefing
- Cross-functional alignment
- External sharing
- Thought leadership
Module 8. Governance delivery patterns
Recognising repeatable project shapes and preparing for them.
12 chapters in this module
- New model deployment
- Third-party vendor review
- Model refresh cycle
- Incident post-mortem
- Audit preparation
- Policy update wave
- Leadership transition
- Team onboarding
- Product launch
- Scope expansion
- External certification
- Crisis response
Module 9. Cross-functional influence
Positioning governance assets as the default starting point.
12 chapters in this module
- Stakeholder mapping
- Champion identification
- Default adoption tactics
- Feedback loops
- Version notifications
- Training integration
- Onboarding inclusion
- Toolchain embedding
- Searchability
- Ownership clarity
- Contribution model
- Credit sharing
Module 10. Personal IP ownership
Building a reputation as the source of truth without gatekeeping.
12 chapters in this module
- Credit without control
- Sharing with structure
- Version authority
- Maintainer role
- Community building
- Feedback integration
- Recognition tracking
- Impact measurement
- Skill demonstration
- Portfolio growth
- Thought leadership
- Influence without mandate
Module 11. Scaling through standardisation
Enabling teams to adopt your work without constant involvement.
12 chapters in this module
- Clarity over control
- Decision documentation
- Assumption logging
- Boundary definition
- Exception handling
- Automated guidance
- Playbook accessibility
- Training support
- Review model
- Feedback integration
- Version promotion
- Sunset process
Module 12. Sustaining compounding momentum
Ensuring your library grows stronger, not heavier, over time.
12 chapters in this module
- Quarterly review
- Use tracking
- Impact stories
- Outdated content flag
- Consolidation tactics
- Succession planning
- Onboarding materials
- Knowledge transfer
- Update triggers
- Efficiency metrics
- Influence indicators
- Legacy planning
How this maps to your situation
- When starting a new AI governance project
- After completing a regulatory review
- Before a model lifecycle audit
- During team onboarding or transition
Before vs. after
Before
Starting from scratch each time, losing insights between projects, and under-leveraging past work.
After
Entering every engagement with a battle-tested library of artefacts that compound authority and efficiency.
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 for integration into active project cycles.
If nothing changes
Continuing to deliver in isolation means your best work stays project-bound, diminishing returns on effort, slower recognition, and fewer high-impact opportunities.
How this compares to the alternatives
Generic AI governance courses teach frameworks. This course teaches how to make those frameworks live and grow across your career.
Frequently asked
Is this course technical or strategic?
It's technical in structure, strategic in impact, designed for practitioners who deliver and want their work to compound.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if my organisation hasn’t adopted OECD AI Principles?
Yes, the principles act as a scaffold to build reusable assets, regardless of formal adoption.
$199 one-time. Approximately 3 hours per module, designed for integration into active project cycles..
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