A tailored course, built for your situation
Enterprise-Class Generative AI Policy Design for Established Enterprises
A 12-module implementation-grade course for senior professionals leading AI governance in complex organizations
$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.
Building AI policy in a vacuum leads to misalignment, rework, and execution delays
The situation this course is for
Even experienced leaders struggle to translate high-level AI principles into enforceable, cross-functional policies. Without a structured approach, initiatives stall, audit readiness suffers, and trust erodes across legal, compliance, and operations teams.
Who this is for
Senior business or technology professionals in established enterprises responsible for AI governance, risk, compliance, or policy implementation
Who this is not for
This is not for startups, individual contributors without decision influence, or those seeking introductory AI awareness content
What you walk away with
- Design enterprise-grade AI policies aligned with regulatory expectations and business risk thresholds
- Map AI use cases to policy controls across departments and data domains
- Build audit-ready documentation packages for internal and external review
- Integrate policy enforcement into existing governance, risk, and compliance (GRC) workflows
- Lead cross-functional alignment between legal, IT, security, and business units
The 12 modules (with all 144 chapters)
Module 1. Foundations of Enterprise AI Policy
Establish core definitions, scope, and governance models for generative AI at scale
12 chapters in this module
- Defining enterprise-class AI policy
- Key stakeholders and decision rights
- Policy vs. procedure vs. standard
- Governance operating models
- Risk-based tiering of AI systems
- Regulatory landscape overview
- Internal policy hierarchy
- Policy lifecycle management
- Version control and change management
- Policy ownership and accountability
- Integration with ERM frameworks
- Executive sponsorship models
Module 2. Risk Stratification Frameworks
Classify AI use cases by risk level using proven assessment methodologies
12 chapters in this module
- Risk dimensions in generative AI
- High-risk use case identification
- Data sensitivity and AI
- Bias and fairness assessment
- Transparency and explainability requirements
- Third-party model risk
- Supply chain exposure points
- Automated decision-making thresholds
- Human-in-the-loop design
- Incident escalation pathways
- Risk scoring calibration
- Risk treatment options
Module 3. Compliance Alignment Strategy
Align AI policies with current and emerging regulatory expectations
12 chapters in this module
- Mapping to NIST AI RMF
- EU AI Act compliance pathways
- Sector-specific obligations
- Privacy and data protection integration
- Recordkeeping and audit trails
- Model documentation standards
- Algorithmic impact assessments
- Cross-border data flow implications
- Regulatory reporting requirements
- Compliance monitoring cadence
- Third-party audit readiness
- Regulator engagement protocols
Module 4. Policy Development Lifecycle
Operationalize policy creation, review, approval, and maintenance
12 chapters in this module
- Policy drafting best practices
- Stakeholder consultation workflows
- Legal and compliance review gates
- Executive approval processes
- Policy publication standards
- Versioning and archiving
- Change notification protocols
- Feedback collection mechanisms
- Policy exception management
- Sunsetting outdated policies
- Metrics for policy effectiveness
- Continuous improvement loops
Module 5. Cross-Functional Integration
Embed AI policy requirements into existing business and technology functions
12 chapters in this module
- Integrating with IT service management
- Procurement and vendor intake
- Project initiation requirements
- Development lifecycle gates
- Change advisory board alignment
- Security review integration
- Data governance council coordination
- Privacy office collaboration
- Legal department workflows
- HR and training integration
- Finance and budget controls
- Audit and assurance handoffs
Module 6. Enforcement and Accountability
Design mechanisms to ensure policy adherence and assign clear ownership
12 chapters in this module
- Policy attestation processes
- Role-based access controls
- Monitoring and logging requirements
- Automated compliance checks
- Violation detection and response
- Disciplinary action frameworks
- Leadership accountability metrics
- Performance management integration
- Whistleblower and reporting channels
- Escalation protocols
- Remediation tracking
- Enforcement transparency
Module 7. AI Use Case Governance
Apply policy controls to specific generative AI applications across the enterprise
12 chapters in this module
- Customer service automation
- Clinical documentation support
- Internal knowledge retrieval
- Marketing content generation
- Code generation and review
- Contract analysis and drafting
- HR recruiting and screening
- Financial forecasting models
- Supply chain optimization
- Patient engagement tools
- Research and development
- Executive briefing generation
Module 8. Model Lifecycle Oversight
Govern generative AI models from development through retirement
12 chapters in this module
- Model development standards
- Training data provenance
- Model validation protocols
- Bias testing methodologies
- Performance benchmarking
- Deployment approval workflows
- Monitoring in production
- Drift detection and response
- Incident response playbooks
- Model update processes
- Version rollback procedures
- Model decommissioning
Module 9. Data Governance for Generative AI
Extend data policies to address AI-specific data risks and requirements
12 chapters in this module
- Training data classification
- Sensitive data handling rules
- Synthetic data usage policies
- Data retention for AI systems
- Data lineage tracking
- Third-party data sourcing
- Data quality standards
- Data access request fulfillment
- Data minimization in prompts
- Prompt logging and review
- Output data classification
- Data subject rights fulfillment
Module 10. Third-Party and Vendor Management
Govern external AI providers and integrated services
12 chapters in this module
- Vendor due diligence checklist
- AI-specific SLAs
- Model transparency requirements
- Audit rights and access
- Subprocessor oversight
- IP and ownership terms
- Incident notification clauses
- Right to exit and data portability
- Ongoing monitoring mechanisms
- Contract renewal reviews
- Performance benchmarking
- Vendor consolidation strategy
Module 11. Training and Change Enablement
Equip teams with knowledge and tools to adopt AI policies effectively
12 chapters in this module
- Audience segmentation for training
- Role-specific policy training
- Onboarding integration
- Refresher training cadence
- Assessment and certification
- Change communication plans
- Leadership messaging toolkit
- FAQ development and maintenance
- Policy awareness campaigns
- Feedback collection and response
- Training effectiveness metrics
- Continuous learning pathways
Module 12. Audit, Review, and Evolution
Prepare for internal and external scrutiny and ensure policy relevance over time
12 chapters in this module
- Internal audit coordination
- External audit preparation
- Evidence collection protocols
- Findings response workflows
- Regulatory inspection readiness
- Board reporting templates
- Executive summaries
- Policy gap analysis
- Benchmarking against peers
- Emerging risk monitoring
- Policy sunset and refresh
- Lessons learned integration
How this maps to your situation
- Leading AI policy development in a regulated environment
- Responding to increased board or regulatory scrutiny
- Scaling AI initiatives beyond pilot stages
- Integrating AI governance into existing compliance frameworks
Before vs. after
Before
Unclear ownership, inconsistent enforcement, and reactive responses to AI risks
After
A structured, board-aligned AI policy framework that scales with enterprise needs
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 3-4 hours per module, designed for completion over 12 weeks with flexible pacing.
If nothing changes
Without a formal policy framework, organizations face operational misalignment, compliance exposure, and erosion of trust during audits or incidents.
How this compares to the alternatives
Unlike generic AI ethics guides or high-level overviews, this course delivers implementation-grade policy architecture with enterprise-specific controls, templates, and enforcement mechanisms.
Frequently asked
Who is this course designed for?
Senior business and technology professionals responsible for AI governance, risk, compliance, or policy execution in established enterprises.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a certificate of completion?
Yes, a digital certificate is issued upon finishing all modules and passing the final assessment.
$199 one-time. Approximately 3-4 hours per module, designed for completion over 12 weeks with flexible 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