Skip to main content
Image coming soon

Deeper Command of AI Governance Frameworks

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Deeper Command of AI Governance Frameworks

Master the architecture, controls, and compliance patterns defining modern AI risk oversight

$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 policy with audit expectations?

The situation this course is for

AI governance is often stalled by fragmented standards, unclear ownership, and reactive reviews. Teams default to generic playbooks that don’t survive first contact with auditors.

Who this is for

AI Governance Specialist at a regulated enterprise, responsible for translating policy into compliant implementation

Who this is not for

This is not for consultants selling frameworks or executives seeking board summaries. It’s for hands-on practitioners who own the details.

What you walk away with

  • Final call on AI governance framework decisions without escalation
  • Repeatable SoA templates aligned to ISO 27001 and NIST AI RMF
  • Cross-functional influence when control ownership is contested
  • Source-backed reasoning during auditor Q&A
  • Faster path from policy draft to signed-off control package

The 12 modules (with all 144 chapters)

Module 1. Core of the AI Governance Framework
Understand the foundational layers: policy intent, control mapping, and audit traceability.
12 chapters in this module
  1. What is AI governance
  2. Policy vs control distinction
  3. Mapping obligations to domains
  4. Audit-first design
  5. Framework lifecycle stages
  6. ISO 27001 intersection
  7. NIST AI RMF alignment
  8. Control ownership models
  9. Risk register structure
  10. Versioning standards
  11. Stakeholder inputs
  12. Decision logs
Module 2. Control Mapping to ISO 27001
Apply structured logic to align AI systems with established security controls.
12 chapters in this module
  1. A.5.1 to A.5.35 mapping
  2. AI-specific control exemptions
  3. Justifying deviations
  4. Common auditor questions
  5. Documenting rationale
  6. Crosswalk templates
  7. Automated checklists
  8. Third-party evidence
  9. Compliance thresholds
  10. Update triggers
  11. Control testing frequency
  12. Review sign-off
Module 3. NIST AI RMF Integration
Embed the NIST framework into daily practice with concrete implementation patterns.
12 chapters in this module
  1. Map phase execution
  2. Measure phase outputs
  3. Governance board inputs
  4. Trustworthiness criteria
  5. Bias detection protocols
  6. Transparency thresholds
  7. Accountability workflows
  8. Incident response paths
  9. Model validation steps
  10. Human oversight points
  11. Performance decay alerts
  12. Remediation playbooks
Module 4. SoA Development Process
Build a statement of applicability that survives auditor scrutiny and scales across use cases.
12 chapters in this module
  1. SoA structure basics
  2. Applicable controls list
  3. Justification format
  4. Exclusion rationale
  5. Version header fields
  6. Reviewer sign-off
  7. Change log format
  8. Cross-references
  9. Control grouping
  10. Status tracking
  11. Automated summaries
  12. Audit trail
Module 5. Cross-Functional Alignment
Lead alignment sessions with data science, legal, and compliance without senior facilitation.
12 chapters in this module
  1. Stakeholder mapping
  2. Control ownership matrix
  3. RACI for AI systems
  4. Escalation paths
  5. Conflict resolution
  6. Decision log use
  7. Meeting prep checklist
  8. Consensus thresholds
  9. Feedback integration
  10. Follow-up cadence
  11. Documentation standards
  12. Status reporting
Module 6. Audit-Ready Documentation
Produce evidence packages that reduce follow-up requests and rework.
12 chapters in this module
  1. Evidence types
  2. Naming conventions
  3. Storage locations
  4. Access controls
  5. Version matching
  6. Timestamp alignment
  7. Audit trail format
  8. Lineage documentation
  9. Third-party attestations
  10. Control testing records
  11. Exception logs
  12. Remediation tracking
Module 7. Policy to Implementation
Translate high-level directives into working control packages without interpretive drift.
12 chapters in this module
  1. Policy clause parsing
  2. Control derivation
  3. Implementation scope
  4. Technical specifications
  5. Validation criteria
  6. Handoff protocols
  7. Feedback loops
  8. Change management
  9. Version alignment
  10. Compliance checkpoints
  11. Stakeholder review
  12. Final approval
Module 8. Risk Register Design
Build a living register that tracks AI-specific risks with precision and clarity.
12 chapters in this module
  1. Risk taxonomy
  2. Likelihood scoring
  3. Impact criteria
  4. AI-specific threats
  5. Model drift alerts
  6. Bias escalation
  7. Third-party dependencies
  8. Geographic variation
  9. Regulatory triggers
  10. Control effectiveness
  11. Heat map use
  12. Executive summary
Module 9. Vendor Oversight for AI Systems
Extend governance practices to third-party models and platforms.
12 chapters in this module
  1. Vendor risk tiers
  2. Due diligence checklist
  3. Contractual obligations
  4. Audit rights
  5. Performance SLAs
  6. Transparency requirements
  7. Data handling
  8. Incident reporting
  9. Remediation timelines
  10. Exit planning
  11. Right to assess
  12. Compliance verification
Module 10. Framework Decision Authority
Own key design choices with confidence and documented precedent.
12 chapters in this module
  1. Decision types
  2. Precedent library
  3. Stakeholder input
  4. Risk tolerance
  5. Compliance thresholds
  6. Technical feasibility
  7. Resource trade-offs
  8. Escalation criteria
  9. Documentation format
  10. Version control
  11. Approval workflow
  12. Post-implementation review
Module 11. Leveraging Templates Across Engagements
Turn one-time work into repeatable assets that compound across projects.
12 chapters in this module
  1. Template library
  2. Versioning rules
  3. Customization process
  4. Stakeholder input
  5. Change tracking
  6. Approval workflow
  7. Use case tagging
  8. Search optimization
  9. Feedback loop
  10. Retirement criteria
  11. Ownership model
  12. Access permissions
Module 12. From Working Draft to Final Sign-Off
Navigate the final stages of governance delivery with precision and confidence.
12 chapters in this module
  1. Final review checklist
  2. Stakeholder validation
  3. Control testing
  4. Evidence collection
  5. Audit trail
  6. Sign-off workflow
  7. Version freeze
  8. Distribution list
  9. Change log
  10. Post-sign-off tasks
  11. Handoff protocol
  12. Lessons learned

How this maps to your situation

  • When starting a new AI governance engagement
  • During cross-functional alignment sessions
  • Preparing for auditor review
  • Before final sign-off on control packages

Before vs. after

Before
Reactive, fragmented governance efforts that require constant senior oversight and revision.
After
Confident, structured delivery of audit-ready AI governance packages with ownership of framework decisions.

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: 8, 10 hours total, self-paced with practical exercises per module.

If nothing changes
Without deeper command, practitioners risk being bypassed when control ownership is contested or during auditor escalations.

How this compares to the alternatives

Unlike generic compliance courses, this program delivers specific, named artefacts and decision rights used in top-quartile AI governance teams.

Frequently asked

Is this course specific to AIG’s internal standards?
No, it focuses on widely adopted frameworks like ISO 27001 and NIST AI RMF, applicable across regulated enterprises.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get access to templates?
Yes, every module includes downloadable templates and worked examples.
$199 one-time. 8, 10 hours total, self-paced with practical exercises per module..

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
!