A tailored course, built for your situation
Production-Grade AI Vendor Risk Assessment for Senior Leaders
Master the governance, security, and operational resilience of AI vendor ecosystems at scale
$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.
Navigating AI vendor partnerships without a structured risk framework leads to compliance gaps, technical debt, and strategic misalignment.
The situation this course is for
Senior leaders are increasingly held accountable for AI vendor decisions, yet lack access to standardized, implementation-ready assessment methodologies. Without a unified approach, organizations face inconsistent due diligence, delayed deployments, and exposure to regulatory and operational risk.
Who this is for
Senior business and technology leaders responsible for AI strategy, vendor governance, compliance, risk management, or technology oversight.
Who this is not for
Individual contributors focused solely on coding, non-AI procurement specialists, or teams without decision-making authority in AI adoption.
What you walk away with
- Evaluate AI vendors using a production-grade risk assessment rubric
- Align vendor selection with regulatory, security, and operational resilience standards
- Lead cross-functional due diligence with confidence and executive clarity
- Anticipate and mitigate long-term technical and compliance risks in vendor ecosystems
- Implement a repeatable, organization-wide vendor assessment framework
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI Vendor Risk
Define key risk domains, stakeholder roles, and the lifecycle of vendor engagement.
12 chapters in this module
- Understanding AI vendor ecosystems
- Core risk categories in AI procurement
- The evolution of third-party AI oversight
- Regulatory drivers shaping vendor risk
- Risk ownership across functions
- Vendor lifecycle stages
- Internal alignment models
- Risk maturity benchmarks
- Case study: Global enterprise rollout
- Key terminology and definitions
- Stakeholder mapping
- Building the business case for risk governance
Module 2. Regulatory and Compliance Alignment
Map AI vendor activities to global compliance expectations and reporting obligations.
12 chapters in this module
- GDPR and data processing in AI systems
- Sector-specific regulations (finance, health, public sector)
- AI transparency and explainability mandates
- Cross-border data flows
- Certifications and audit readiness
- Vendor compliance documentation standards
- Regulatory mapping frameworks
- AI Act preparedness
- NIST AI Risk Framework integration
- Industry-specific compliance playbooks
- Documentation requirements for audits
- Compliance scoring models
Module 3. Security and Data Integrity
Assess vendor security posture, data handling, and infrastructure resilience.
12 chapters in this module
- Data sovereignty and storage policies
- Encryption standards in transit and at rest
- Penetration testing and red team access
- Incident response planning with vendors
- Access control and identity management
- Threat modeling for AI systems
- Zero-trust integration models
- Security audit documentation
- Third-party vulnerability reporting
- Secure development lifecycle review
- Data leakage prevention
- Security scorecard design
Module 4. Operational Resilience and SLAs
Evaluate uptime, support, disaster recovery, and service-level commitments.
12 chapters in this module
- Defining uptime and availability benchmarks
- SLA structure and enforcement mechanisms
- Disaster recovery and failover testing
- Vendor escalation paths
- Performance monitoring integration
- Capacity planning disclosures
- Change management processes
- Incident logging and transparency
- Redundancy and geographic distribution
- Support responsiveness metrics
- Vendor lock-in mitigation
- Exit strategy requirements
Module 5. Model Governance and Explainability
Ensure AI models meet ethical, technical, and operational standards.
12 chapters in this module
- Model documentation standards
- Bias detection and mitigation
- Explainability for non-technical stakeholders
- Model versioning and lineage
- Model drift monitoring
- Human-in-the-loop requirements
- Audit trails for model decisions
- Ethical AI frameworks
- Fairness and inclusivity testing
- Model validation processes
- Transparency reporting
- Third-party model certification
Module 6. Vendor Due Diligence Framework
Systematize the evaluation process with checklists, scoring, and decision gates.
12 chapters in this module
- Due diligence workflow design
- Pre-vetting questionnaires
- Scoring rubrics for risk domains
- Weighted decision models
- Cross-functional review panels
- Reference checking protocols
- Financial stability assessment
- Reputation and media monitoring
- Litigation and compliance history
- Customer satisfaction benchmarks
- Case study: High-risk vendor rejection
- Final approval workflows
Module 7. Contractual and Legal Safeguards
Structure agreements to enforce risk standards and accountability.
12 chapters in this module
- Risk-based contract clauses
- Liability and indemnification terms
- Data ownership and IP rights
- Right-to-audit provisions
- Termination for cause conditions
- Insurance and bonding requirements
- Warranties and representations
- Change control in contracts
- Subcontractor oversight
- Jurisdiction and dispute resolution
- Renewal and exit terms
- Legal alignment with procurement
Module 8. Integration and Deployment Risk
Manage technical integration challenges and system interdependencies.
12 chapters in this module
- API security and stability
- Data pipeline integrity
- Latency and performance testing
- Authentication and authorization models
- Error handling and logging
- Version compatibility tracking
- Deployment rollback procedures
- Monitoring integration points
- Third-party dependency mapping
- Change management coordination
- Staging environment requirements
- Production readiness checklists
Module 9. Ongoing Monitoring and Auditing
Establish continuous oversight for long-term vendor performance.
12 chapters in this module
- Quarterly risk reassessment
- Automated monitoring tools
- Audit scheduling and execution
- Key risk indicators (KRIs)
- Performance deviation alerts
- Compliance recertification
- Vendor self-reporting validation
- Independent audit coordination
- Escalation for non-compliance
- Remediation tracking
- Continuous improvement cycles
- Annual vendor review frameworks
Module 10. Executive Decision Architecture
Equip leadership with frameworks for strategic vendor oversight.
12 chapters in this module
- Risk appetite definition
- Board-level reporting formats
- Decision rights and escalation paths
- Risk communication strategies
- Vendor portfolio rationalization
- Strategic vs. tactical vendor classification
- Budget alignment with risk profiles
- Cross-vendor standardization
- AI ethics review boards
- Vendor innovation tracking
- Exit and transition planning
- Long-term ecosystem strategy
Module 11. Cross-Functional Alignment
Align legal, security, compliance, engineering, and business teams.
12 chapters in this module
- Stakeholder role definitions
- Communication protocols
- Joint review meetings
- Shared documentation platforms
- Conflict resolution frameworks
- Decision-making authority mapping
- Risk ownership models
- Change coordination workflows
- Training for non-technical leaders
- Feedback loops across functions
- Vendor onboarding alignment
- Post-deployment handoffs
Module 12. Implementation Playbook Integration
Deploy the course framework using the hand-built implementation playbook.
12 chapters in this module
- Customizing templates for your organization
- Phased rollout planning
- Pilot program design
- Stakeholder onboarding
- Tooling and platform integration
- Metrics for success tracking
- Common implementation pitfalls
- Executive sponsorship engagement
- Change management communication
- Scaling across business units
- Lessons from early adopters
- Final review and optimization
How this maps to your situation
- Assessing a new AI vendor for enterprise deployment
- Responding to a regulatory inquiry on third-party AI use
- Leading a cross-functional vendor risk review
- Designing a long-term AI vendor governance strategy
Before vs. after
Before
Uncertainty in evaluating AI vendors, inconsistent due diligence, and reactive risk management
After
Confident, standardized, and proactive oversight of AI vendor ecosystems with executive-grade clarity
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 executive pacing with just-in-time learning.
If nothing changes
Continuing without a structured approach increases exposure to compliance failures, operational disruptions, and strategic missteps in AI adoption.
How this compares to the alternatives
Unlike generic risk frameworks or academic courses, this program delivers implementation-grade tools tailored specifically for AI vendor ecosystems and senior leadership decision-making.
Frequently asked
Who is this course designed for?
Senior business and technology leaders overseeing AI strategy, vendor governance, compliance, or technology risk.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a money-back guarantee?
Yes, a 30-day money-back guarantee is included.
$199 one-time. Approximately 3-4 hours per module, designed for executive pacing with just-in-time learning..
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