A tailored course, built for your situation
Strategic AI Vendor Risk Assessment for Senior Leaders
Master governance, due diligence, and long-term AI partnership sustainability
$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.
Leaders are expected to govern AI vendors effectively but lack a structured, executable framework to do so.
The situation this course is for
With AI adoption accelerating, senior leaders face pressure to make fast vendor decisions while managing compliance, reputational, and operational risks. Generic security reviews aren’t enough, there’s a gap between executive oversight and technical execution.
Who this is for
Senior business and technology leaders responsible for AI strategy, procurement, risk, compliance, or governance who need to lead confidently in complex vendor landscapes.
Who this is not for
Individual contributors focused only on technical implementation, or teams seeking coding tutorials or platform-specific training.
What you walk away with
- Apply a proven framework to assess AI vendor risk across 12 critical dimensions
- Lead cross-functional due diligence with confidence and clarity
- Align vendor choices with organizational values, compliance needs, and technical resilience
- Use structured templates to accelerate decision-making and stakeholder alignment
- Anticipate long-term risks in AI partnerships before contracts are signed
The 12 modules (with all 144 chapters)
Module 1. The Evolving AI Vendor Landscape
Understand current market dynamics and why vendor risk is now a leadership imperative.
12 chapters in this module
- Defining AI vendor ecosystems
- Trends shaping vendor selection
- From procurement to partnership
- Board-level expectations
- Regulatory momentum
- Emerging standards
- Risk vs. innovation balance
- Sector-specific considerations
- Vendor lifecycle stages
- Strategic vs. tactical choices
- The role of leadership
- Setting the foundation
Module 2. Governance Foundations for AI
Establish core governance structures that support responsible vendor integration.
12 chapters in this module
- Principles of AI governance
- Stakeholder mapping
- Accountability frameworks
- Policy alignment
- Ethical guardrails
- Compliance integration
- Cross-functional coordination
- Decision rights
- Oversight mechanisms
- Escalation paths
- Audit readiness
- Governance documentation
Module 3. Vendor Risk Dimensions
Break down the 12 critical dimensions of AI vendor risk assessment.
12 chapters in this module
- Data provenance and lineage
- Model transparency
- Algorithmic fairness
- Security posture
- Infrastructure resilience
- Legal compliance
- IP ownership
- Change management
- Support responsiveness
- Financial stability
- Reputation risk
- Exit strategy
Module 4. Due Diligence Framework
Implement a step-by-step approach to evaluating AI vendors.
12 chapters in this module
- Scoping the assessment
- Checklist design
- Questionnaire development
- Evidence collection
- Stakeholder interviews
- Third-party validation
- Risk scoring methodology
- Gap analysis
- Mitigation planning
- Decision thresholds
- Reporting structure
- Final recommendation
Module 5. Contractual Leverage and Terms
Negotiate from strength with clarity on key contractual clauses.
12 chapters in this module
- Data rights and usage
- Model ownership
- Audit rights
- Liability limitations
- Indemnification clauses
- Performance guarantees
- Termination rights
- Subcontractor oversight
- Compliance warranties
- Update obligations
- Penalty structures
- Renewal terms
Module 6. Data Ethics and Compliance
Ensure vendor practices align with organizational values and legal requirements.
12 chapters in this module
- Privacy by design
- GDPR and global equivalents
- Bias detection
- Consent management
- Data minimization
- Retention policies
- Cross-border transfers
- Human oversight
- Explainability standards
- Impact assessments
- Ethics review boards
- Compliance reporting
Module 7. Security and Resilience
Evaluate technical safeguards and operational durability.
12 chapters in this module
- Infrastructure security
- Access controls
- Encryption standards
- Incident response
- Penetration testing
- Resilience architecture
- Disaster recovery
- Patch management
- Zero-trust alignment
- Threat modeling
- Vendor breach history
- Security certifications
Module 8. Performance Monitoring
Design ongoing oversight for sustained vendor effectiveness.
12 chapters in this module
- KPI definition
- SLA tracking
- Model drift detection
- Accuracy benchmarks
- Uptime monitoring
- User satisfaction
- Compliance tracking
- Audit trails
- Escalation triggers
- Quarterly reviews
- Remediation workflows
- Termination triggers
Module 9. Stakeholder Alignment
Lead cross-functional consensus on vendor decisions.
12 chapters in this module
- Identifying key stakeholders
- Communication planning
- Risk framing
- Executive summaries
- Technical deep dives
- Legal alignment
- Procurement coordination
- Finance integration
- HR considerations
- Change management
- Feedback loops
- Decision documentation
Module 10. Implementation Playbook
Apply the framework with ready-to-use templates and workflows.
12 chapters in this module
- Assessment checklist
- Scorecard template
- Risk register
- Due diligence report
- Contract addendum
- Governance charter
- Stakeholder comms
- Onboarding plan
- Monitoring dashboard
- Audit preparation
- Exit checklist
- Playbook customization
Module 11. Case Studies and Applications
Review real-world examples of successful and failed AI vendor integrations.
12 chapters in this module
- Healthcare AI adoption
- Financial services due diligence
- Retail personalization risks
- Manufacturing automation
- Public sector procurement
- Legal tech integration
- EdTech platform selection
- HR analytics pitfalls
- Marketing automation
- Cybersecurity vendor
- Cloud AI services
- Lessons learned
Module 12. Future-Proofing AI Partnerships
Anticipate evolving risks and adapt vendor strategies proactively.
12 chapters in this module
- Regulatory forecasting
- Technology shifts
- Market consolidation
- Emerging risks
- Scenario planning
- Adaptive governance
- Vendor diversification
- Innovation pipelines
- Exit readiness
- Renewal strategy
- Strategic review cadence
- Leadership evolution
How this maps to your situation
- Assessing new AI vendor proposals
- Managing existing AI vendor relationships
- Responding to compliance inquiries
- Leading cross-functional risk reviews
Before vs. after
Before
Uncertain about how to systematically assess AI vendors, relying on fragmented input and incomplete checklists.
After
Confidently lead AI vendor evaluations with a comprehensive, repeatable framework that aligns with leadership expectations and operational realities.
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 busy leaders to complete at their own pace over 6-8 weeks.
If nothing changes
Without a structured approach, organizations risk adopting AI solutions that create compliance gaps, reputational harm, or operational fragility, especially as oversight expectations rise.
How this compares to the alternatives
Unlike generic cybersecurity courses or academic overviews, this program delivers a leadership-grade, implementation-focused framework tailored specifically for assessing AI vendors, combining governance, technical due diligence, and strategic foresight in one cohesive offering.
Frequently asked
Who is this course designed for?
Senior business and technology leaders responsible for AI strategy, procurement, risk, compliance, or governance who need to lead confidently in complex vendor landscapes.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this course technical or strategic?
It bridges both, providing strategic oversight frameworks and implementation-grade tools for assessing AI vendors across governance, security, ethics, and operational resilience.
$199 one-time. Approximately 3-4 hours per module, designed for busy leaders to complete at their own pace over 6-8 weeks..
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