A tailored course, built for your situation
Operationally-Sound Generative AI Policy Design for Compliance Officers
Build compliant, scalable AI governance frameworks from the ground up
$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.
Policies exist on paper but fail in practice due to lack of operational integration
The situation this course is for
Compliance teams are expected to govern fast-moving AI deployments, yet most policy frameworks are too abstract, slow to adapt, or disconnected from technical implementation. This leads to gaps between intent and execution, increasing exposure during audits and reviews.
Who this is for
Compliance officers, risk specialists, and governance leads in mid-to-large organizations adopting generative AI in business functions
Who this is not for
Individuals seeking high-level AI overviews or technical prompt engineering training
What you walk away with
- Design AI policies that align with technical, legal, and operational realities
- Integrate generative AI controls into existing compliance workflows
- Produce audit-ready documentation using standardized templates
- Anticipate regulatory expectations using forward-looking control patterns
- Lead cross-functional AI governance initiatives with confidence
The 12 modules (with all 144 chapters)
Module 1. Foundations of Generative AI in Regulated Environments
Understand the unique compliance challenges posed by generative models
12 chapters in this module
- Defining generative AI in business context
- Key differences from traditional AI systems
- Regulatory attention trends
- Common deployment patterns
- Risk surface mapping
- Data provenance challenges
- Model transparency expectations
- Third-party vendor exposure
- Use case prioritization
- Governance maturity models
- Stakeholder landscape analysis
- Initial risk triage framework
Module 2. Policy Design Principles for Dynamic AI Systems
Establish core design rules for adaptable, enforceable policies
12 chapters in this module
- Proactive vs reactive policy design
- Scalability across business units
- Version control for AI policies
- Clarity and enforceability standards
- Linking policy to technical controls
- Defining measurable compliance outcomes
- Handling policy exceptions
- Change management protocols
- Feedback loop integration
- Cross-jurisdictional alignment
- Language precision techniques
- Policy testing and validation
Module 3. Risk Scoping and Impact Assessment
Systematically identify and prioritize AI-related compliance risks
12 chapters in this module
- AI-specific risk taxonomies
- Data sensitivity classification
- Model output risk levels
- Human oversight thresholds
- Bias detection frameworks
- Explainability requirements
- Incident escalation paths
- Third-party model risk
- Supply chain dependencies
- Reputational exposure mapping
- Legal liability boundaries
- Risk scoring methodology
Module 4. Control Integration with Existing Compliance Frameworks
Embed generative AI controls into current governance structures
12 chapters in this module
- Mapping AI risks to existing policies
- Updating SOX controls for AI
- GDPR and data subject rights
- Integrating with privacy programs
- Linking to information security policies
- Audit trail requirements
- Access control alignment
- Change logging standards
- Monitoring and alerting rules
- Incident response coordination
- Training and awareness integration
- Compliance reporting updates
Module 5. Audit Readiness and Documentation Standards
Prepare for scrutiny with complete, defensible documentation
12 chapters in this module
- Documentation required for AI audits
- Model development lifecycle records
- Data sourcing provenance
- Version history tracking
- Stakeholder approval logs
- Risk assessment documentation
- Control testing evidence
- Exception handling records
- Regulatory correspondence
- Internal review minutes
- Third-party attestation collection
- Audit response preparation
Module 6. Cross-Functional Alignment and Stakeholder Engagement
Coordinate policy execution across technical, legal, and business teams
12 chapters in this module
- Identifying key stakeholders
- Establishing governance committees
- Defining roles and responsibilities
- RACI matrix for AI policy
- Legal and compliance coordination
- IT and security collaboration
- Business unit engagement
- Executive communication strategies
- Feedback collection mechanisms
- Conflict resolution protocols
- Change adoption tracking
- Success metrics for alignment
Module 7. Policy Implementation Playbook Development
Create a step-by-step guide for rolling out AI policies
12 chapters in this module
- Phased rollout planning
- Pilot program design
- Success criteria definition
- Training material development
- Communication plan creation
- Feedback integration loops
- Issue escalation procedures
- Compliance monitoring setup
- Adjustment triggers
- Documentation automation
- Tooling integration
- Handoff to operations
Module 8. Monitoring, Review, and Continuous Improvement
Establish ongoing oversight and refinement processes
12 chapters in this module
- Key performance indicators for AI policy
- Compliance monitoring tools
- Automated alerting systems
- Regular review cycles
- Policy update workflows
- Incident post-mortem process
- Benchmarking against peers
- Regulatory change tracking
- Stakeholder feedback analysis
- Control effectiveness reviews
- Version comparison methods
- Retirement and archiving rules
Module 9. Third-Party and Vendor Risk Management
Extend governance to external AI providers and tools
12 chapters in this module
- Vendor due diligence process
- Contractual requirements for AI
- API and integration risks
- Model transparency expectations
- Data handling commitments
- Audit rights negotiation
- Performance SLAs
- Incident notification obligations
- Exit strategy planning
- Sub-processor oversight
- Compliance validation methods
- Ongoing vendor monitoring
Module 10. Use Case-Specific Policy Design
Tailor policies to high-risk applications like customer service, HR, and content generation
12 chapters in this module
- Customer-facing AI interactions
- Marketing content generation
- HR and recruitment tools
- Legal document drafting
- Financial reporting assistance
- Internal knowledge systems
- Code generation tools
- Training simulation systems
- Personalization engines
- Automated decision-making
- Accessibility considerations
- Industry-specific constraints
Module 11. Global Regulatory Landscape and Alignment
Navigate evolving requirements across jurisdictions
12 chapters in this module
- EU AI Act implications
- US federal and state guidance
- UK regulatory approach
- Canada's AI regulations
- Asia-Pacific developments
- Cross-border data flow rules
- Harmonization opportunities
- Sector-specific mandates
- Enforcement trends
- Regulatory sandbox participation
- Public consultation responses
- Future regulatory forecasting
Module 12. Leadership and Strategic Positioning
Position yourself as a key contributor in AI governance strategy
12 chapters in this module
- Communicating AI risk to executives
- Building a governance business case
- Resource allocation strategies
- Talent and capability development
- Thought leadership development
- Industry engagement opportunities
- Speaking the language of engineering
- Balancing innovation and control
- Success story documentation
- Metrics that matter to leadership
- Career advancement pathways
- Ongoing professional development
How this maps to your situation
- New AI initiatives launching without clear compliance oversight
- Existing policies failing during audits or reviews
- Leadership asking for AI governance frameworks
- Cross-functional teams struggling to align on AI rules
Before vs. after
Before
Policy documents exist but lack operational teeth, leading to inconsistent enforcement and audit vulnerabilities
After
Comprehensive, actionable AI governance framework fully integrated into compliance operations, audit-ready and stakeholder-approved
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 45, 60 minutes per module, designed for completion within 12 weeks with weekly pacing
If nothing changes
Without structured policy design, organizations face increased audit findings, inconsistent enforcement, and reputational exposure when AI systems behave unexpectedly
How this compares to the alternatives
Unlike generic AI ethics guides or technical AI safety courses, this program focuses exclusively on the implementation of enforceable, compliance-grade policy frameworks tailored to real-world organizational structures and regulatory expectations.
Frequently asked
Who is this course designed for?
Compliance officers, risk managers, and governance professionals responsible for overseeing generative AI adoption in regulated environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a certificate upon completion?
Yes, a certificate of completion is awarded after finishing all modules and passing the final assessment.
$199 one-time. Approximately 45, 60 minutes per module, designed for completion within 12 weeks with weekly pacing.
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