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More defensible AI governance artefacts, first time

$199.00
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A tailored course, built for your situation

More defensible AI governance artefacts, first time

Build governance outputs that stand up to scrutiny without rework

$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.

The situation this course is for

Who this is for

Senior Director in technology consulting, leading AI governance delivery for enterprise clients at a global systems integrator

Who this is not for

This is not for practitioners focused on general compliance frameworks without AI-specific implementation experience, or those not involved in client-facing governance artefact creation

What you walk away with

  • Artefacts with fewer assumptions and more cited control sources
  • First-draft policies that require no structural rework
  • Clearer traceability from AI risk to mitigating control to audit evidence
  • Ability to anticipate reviewer questions and preempt them in documentation
  • Client-ready deliverables that reflect top-quartile governance rigour

The 12 modules (with all 144 chapters)

Module 1. Foundations of defensible AI governance
Establish the core principles that differentiate robust governance outputs from generic templates, with emphasis on auditable rationale and source-backed decisions.
12 chapters in this module
  1. What defensibility means in AI governance
  2. Three attributes of a challenge-proof policy
  3. How top firms structure their governance libraries
  4. Source hierarchy: standards vs guidance vs opinion
  5. The role of documented rationale in client trust
  6. Common gaps in first-draft governance artefacts
  7. From intent to evidence: closing the loop
  8. Client escalation patterns and how to prevent them
  9. Mapping risk to control with precision
  10. Avoiding ambiguous language in policy statements
  11. Version control for living governance documents
  12. Building consistency across engagements
Module 2. Precision in control mapping
Master the practice of linking AI risks to specific, enforceable controls with clear ownership and measurable outcomes.
12 chapters in this module
  1. Risk-to-control traceability frameworks
  2. Naming exact control owners in documentation
  3. Specifying measurable control outcomes
  4. Using ISO/IEC 23894 as a baseline
  5. Incorporating NIST AI RMF with precision
  6. Mapping dual compliance: GDPR and AI Act
  7. Avoiding overclaim in control assertions
  8. Documenting control limitations honestly
  9. Cross-walking controls across frameworks
  10. Client-specific adaptations without dilution
  11. Control validation pathways
  12. When to escalate control design decisions
Module 3. Audit-ready policy drafting
Write policies that anticipate reviewer questions and embed evidence pathways from the start.
12 chapters in this module
  1. Policy structure for maximum clarity
  2. Crafting unambiguous definitions
  3. Including implementation criteria upfront
  4. Referencing applicable clauses directly
  5. Building in review and update triggers
  6. Documenting exceptions and justifications
  7. Aligning policy scope with client boundaries
  8. Avoiding aspirational language
  9. Using active voice for accountability
  10. Versioning and change logs
  11. Stakeholder sign-off workflows
  12. Policy communication packaging
Module 4. Rationale-backed decision records
Create decision logs that justify governance choices with cited sources and stakeholder input.
12 chapters in this module
  1. When to create a formal decision record
  2. Capturing alternatives considered
  3. Citing regulatory or standards guidance
  4. Recording stakeholder input accurately
  5. Linking decisions to risk appetite statements
  6. Documenting trade-offs transparently
  7. Archiving rationale for future audits
  8. Handling contested decisions
  9. Using decision records in client reporting
  10. Templates for common AI governance choices
  11. Integrating with project documentation
  12. Maintaining decision consistency
Module 5. Evidence pathway design
Design artefacts that include clear pathways to evidence, reducing follow-up requests and audit friction.
12 chapters in this module
  1. What counts as valid governance evidence
  2. Designing evidence trails into policies
  3. Linking controls to monitoring mechanisms
  4. Specifying evidence owners and timelines
  5. Documenting evidence collection methods
  6. Handling third-party evidence
  7. Using logs and access records as proof
  8. Evidence for model risk management
  9. Data governance artefact trails
  10. Automation in evidence generation
  11. Client evidence review processes
  12. Preparing for surprise audits
Module 6. Client-specific tailoring
Adapt governance frameworks to client contexts without sacrificing defensibility or consistency.
12 chapters in this module
  1. Assessing client risk appetite
  2. Mapping client-specific threats
  3. Customising controls without weakening them
  4. Documenting client exceptions
  5. Balancing reuse with relevance
  6. Using client language in deliverables
  7. Incorporating client feedback loops
  8. Handling proprietary client frameworks
  9. Maintaining audit alignment post-tailoring
  10. Avoiding scope creep in customisation
  11. Client escalation paths for disputes
  12. Versioning client-specific variants
Module 7. Stakeholder alignment documentation
Produce records that demonstrate consensus and address key concerns from legal, compliance, and technical teams.
12 chapters in this module
  1. Identifying critical stakeholders
  2. Capturing legal team input
  3. Documenting technical feasibility reviews
  4. Including ethics review outcomes
  5. Summarising cross-functional feedback
  6. Resolving conflicting inputs
  7. Building alignment trails
  8. Using meeting notes as evidence
  9. Formal sign-off vs informal agreement
  10. Handling dissenting opinions
  11. Archiving stakeholder communication
  12. Linking alignment to implementation
Module 8. Governance visualisation
Use diagrams and models to clarify complex relationships without oversimplifying risk or control.
12 chapters in this module
  1. When to use flowcharts vs matrices
  2. Designing clear control maps
  3. Visualising risk escalation paths
  4. Annotating diagrams with sources
  5. Avoiding misleading simplifications
  6. Using standard notation (BPMN, UML)
  7. Client-friendly visual design
  8. Colour, layout, and readability
  9. Versioning visual artefacts
  10. Embedding visuals in reports
  11. Tools for professional diagrams
  12. Converting visuals to evidence
Module 9. Cross-framework coherence
Maintain consistency when combining multiple governance frameworks into a single coherent approach.
12 chapters in this module
  1. Common conflicts between frameworks
  2. Resolving overlapping control requirements
  3. Harmonising terminology across standards
  4. Creating unified control libraries
  5. Handling contradictory guidance
  6. Prioritising framework adherence
  7. Documenting framework selection logic
  8. Client expectations across jurisdictions
  9. Mapping AI Act to sector-specific rules
  10. Integrating internal and external standards
  11. Updating for new framework versions
  12. Training teams on hybrid models
Module 10. Governance automation documentation
Document automated governance processes with the same rigour as manual ones, ensuring transparency and auditability.
12 chapters in this module
  1. What to document in automated workflows
  2. Logging system decisions for review
  3. Human oversight points in automation
  4. Versioning automated policy engines
  5. Testing and validation records
  6. Incident response in automated systems
  7. Alerting and escalation documentation
  8. Monitoring for drift or failure
  9. Audit access to automated systems
  10. Client communication about automation
  11. Limitations of algorithmic governance
  12. Recovery procedures for automation errors
Module 11. Third-party governance integration
Document how external vendors, models, and platforms are governed within client environments.
12 chapters in this module
  1. Assessing third-party risk profiles
  2. Documenting model provenance
  3. Vendor control validation
  4. Contractual governance clauses
  5. Monitoring third-party performance
  6. Handling third-party incidents
  7. Evidence from external providers
  8. Client communication about vendors
  9. Onboarding new third parties
  10. Offboarding and data removal
  11. Audit rights and access
  12. Maintaining governance across ecosystems
Module 12. Continuous governance improvement
Establish feedback loops that strengthen governance artefacts over time without ad hoc changes.
12 chapters in this module
  1. Capturing lessons from audits
  2. Client feedback integration
  3. Internal peer review processes
  4. Updating policies with new evidence
  5. Change control for governance documents
  6. Version comparison and impact analysis
  7. Training teams on updates
  8. Communicating changes to stakeholders
  9. Measuring governance effectiveness
  10. Benchmarking against industry leaders
  11. Planning annual governance reviews
  12. Archiving outdated but relevant documents

How this maps to your situation

  • After client onboarding and risk assessment
  • During control framework selection and adaptation
  • When drafting first versions of AI policies
  • Before internal or client audit rounds

Before vs. after

Before
Governance artefacts often require multiple revisions to meet audit or client review standards, with last-minute sourcing, clarification requests, and structural changes.
After
First-draft artefacts are more accurate, better cited, and structured to anticipate scrutiny, reducing rework and increasing stakeholder trust.

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 just-in-time learning during active engagements.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses exclusively on AI governance artefact quality, with real-world examples, client-facing templates, and precision drafting techniques used by top-tier consultancies.

Frequently asked

Is this course focused on technical AI implementation?
No. It focuses on the quality and defensibility of governance documentation and policy artefacts, not model development or engineering.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Are the templates customisable?
Yes. All templates are provided in editable format and designed for adaptation to client-specific needs.
$199 one-time. Approximately 3 hours per module, designed for just-in-time learning during active engagements..

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
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