A tailored course, built for your situation
Strategic AI Vendor Risk Assessment for Senior Leaders
Master governance, compliance, and decision-making in AI procurement for enterprise impact
$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.
Feeling unprepared when boards demand clarity on AI vendor decisions?
The situation this course is for
Senior leaders are increasingly expected to make confident, informed decisions about AI vendors, but most lack a structured way to assess risk, compliance, and long-term alignment. Without a clear framework, procurement choices can lead to governance gaps, wasted investment, and reputational exposure.
Who this is for
Business and technology executives responsible for AI strategy, procurement, compliance, or enterprise risk management
Who this is not for
Individual contributors without decision authority, technical-only AI practitioners, or vendors selling AI solutions
What you walk away with
- Evaluate AI vendors with a repeatable, board-ready risk assessment framework
- Integrate compliance and ethical guidelines into procurement workflows
- Communicate vendor risk posture clearly to executives and oversight bodies
- Anticipate regulatory shifts and build adaptive vendor governance policies
- Reduce decision latency while increasing confidence in AI investments
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI Vendor Risk
Define core concepts, scope, and strategic importance of vendor risk in AI systems.
12 chapters in this module
- Defining AI vendor ecosystems
- The evolution of third-party AI risk
- Governance vs. technical risk
- Executive accountability models
- Regulatory landscape overview
- Ethical procurement principles
- Vendor lifecycle stages
- Risk ownership models
- Board expectations today
- Assessment maturity models
- Cross-functional alignment
- Course navigation and tools
Module 2. AI Procurement Strategy and Alignment
Align vendor selection with organizational strategy and operational needs.
12 chapters in this module
- Mapping business objectives to AI capabilities
- Strategic fit assessment
- Vendor sourcing models
- RFP design for AI solutions
- Stakeholder alignment frameworks
- Budgeting for AI risk mitigation
- Procurement timelines and cycles
- Internal buy-in strategies
- Use case prioritization
- Scalability evaluation
- Integration readiness
- Vendor relationship models
Module 3. Due Diligence Frameworks
Apply structured methods to evaluate vendor integrity, technical soundness, and compliance posture.
12 chapters in this module
- Vendor background assessment
- Financial stability analysis
- Leadership team evaluation
- Reputation and track record
- Customer reference validation
- Third-party audit review
- Compliance documentation review
- Security certifications
- Data handling policies
- Incident history review
- Legal dispute screening
- Exit strategy evaluation
Module 4. Model Transparency and Explainability
Assess the interpretability and accountability of AI models provided by vendors.
12 chapters in this module
- Defining model transparency
- Explainability vs. interpretability
- Model documentation standards
- Algorithmic accountability
- Bias detection protocols
- Performance benchmarking
- Model lineage tracking
- Human-in-the-loop design
- Audit trail requirements
- Third-party model validation
- Error rate reporting
- Model drift monitoring
Module 5. Data Governance and Privacy
Ensure vendor practices align with organizational data policies and privacy regulations.
12 chapters in this module
- Data ownership definitions
- Consent management frameworks
- Cross-border data flow rules
- Anonymization standards
- Data minimization principles
- Retention and deletion policies
- Third-party data sharing
- Privacy impact assessments
- GDPR and equivalent alignment
- Data subject rights handling
- Breach notification protocols
- Vendor data audit rights
Module 6. Security and Cyber Resilience
Evaluate vendor cybersecurity maturity and resilience to threats.
12 chapters in this module
- Security certification mapping
- Penetration testing evidence
- Incident response planning
- Threat modeling practices
- Access control models
- Encryption standards
- Zero-trust alignment
- Supply chain risk
- API security design
- Monitoring and alerting
- Patch management
- Cyber insurance review
Module 7. Compliance and Regulatory Alignment
Map vendor offerings to current and emerging compliance requirements.
12 chapters in this module
- Regulatory horizon scanning
- Industry-specific rules
- AI-specific legislation
- Compliance documentation
- Audit readiness
- Reporting obligations
- Ethics board alignment
- Certification pathways
- Global regulatory differences
- Enforcement trends
- Compliance automation
- Vendor compliance updates
Module 8. Contractual and Legal Risk
Structure agreements to protect organizational interests and enforce accountability.
12 chapters in this module
- Liability allocation
- Indemnification clauses
- Service level agreements
- Performance guarantees
- IP ownership terms
- Data rights negotiation
- Termination conditions
- Audit rights
- Dispute resolution
- Force majeure clauses
- Subcontractor oversight
- Compliance enforcement terms
Module 9. Ethical AI and Social Impact
Assess vendor alignment with ethical AI principles and societal expectations.
12 chapters in this module
- Ethical AI frameworks
- Bias mitigation strategies
- Fairness metrics
- Stakeholder impact assessment
- Community engagement
- Environmental impact
- Labor practices
- Transparency reporting
- Public trust metrics
- AI for social good
- Whistleblower protections
- Ethics review boards
Module 10. Executive Decision Architecture
Design governance structures for confident, consistent vendor decisions.
12 chapters in this module
- Decision rights frameworks
- Risk appetite setting
- Cross-functional committees
- Escalation protocols
- Board reporting templates
- Decision documentation
- Post-implementation review
- Feedback loops
- Vendor performance dashboards
- Risk-adjusted ROI models
- Scenario planning
- Decision automation
Module 11. Implementation and Integration
Operationalize vendor risk assessment into procurement workflows.
12 chapters in this module
- Workflow integration
- Tooling selection
- Team training plans
- Pilot programs
- Change management
- Stakeholder communication
- KPIs and metrics
- Continuous monitoring
- Feedback integration
- Process automation
- Vendor onboarding
- Knowledge transfer
Module 12. Future-Proofing and Adaptation
Build systems that evolve with changing technology, regulation, and risk landscapes.
12 chapters in this module
- Horizon scanning
- Regulatory forecasting
- Technology trend monitoring
- Vendor innovation tracking
- Adaptive governance
- Scenario resilience
- Exit strategy planning
- Contract evolution
- Continuous learning
- Benchmarking against peers
- AI risk maturity growth
- Leadership development
How this maps to your situation
- Evaluating a new AI vendor for enterprise deployment
- Responding to board questions about AI risk posture
- Revising AI procurement policy for compliance readiness
- Managing post-contract vendor performance and compliance
Before vs. after
Before
Uncertain about how to assess AI vendor risk systematically or justify decisions to governance bodies.
After
Equipped with a structured, repeatable framework to evaluate, select, and govern AI vendors with executive confidence.
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 actionable takeaways per chapter.
If nothing changes
Without a formal approach, organizations risk compliance gaps, reputational exposure, and suboptimal AI investments that fail to deliver promised value.
How this compares to the alternatives
Unlike generic AI ethics courses or technical risk trainings, this program is tailored for senior leaders who must make binding decisions, balance risk and innovation, and answer to boards and regulators.
Frequently asked
Who is this course designed for?
Senior leaders in business and technology roles responsible for AI procurement, governance, compliance, or enterprise risk.
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 assessments.
$199 one-time. Approximately 3-4 hours per module, designed for executive pacing with actionable takeaways per chapter..
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