A tailored course, built for your situation
Scalable AI Vendor Risk Assessment for High-Growth Organizations
Master governance, compliance, and due diligence at scale as your tech stack evolves
$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.
Rising AI adoption introduces complex vendor dependencies that outpace traditional risk controls
The situation this course is for
Teams are approving AI tools faster than risk frameworks can adapt, creating compliance blind spots, security drift, and governance lag. Standard checklists don’t scale across dynamic vendor ecosystems.
Who this is for
Business and technology professionals in high-growth organizations managing AI procurement, risk governance, compliance, security, or vendor due diligence
Who this is not for
This is not for consultants selling generic frameworks or professionals focused only on legacy software audits
What you walk away with
- Build a repeatable AI vendor risk assessment framework
- Align technical due diligence with business and compliance objectives
- Scale vendor evaluation without increasing headcount
- Integrate risk controls into procurement and onboarding workflows
- Produce audit-ready documentation for regulators and internal stakeholders
The 12 modules (with all 144 chapters)
Module 1. AI Vendor Risk in High-Growth Contexts
Define risk dimensions unique to fast-scaling organizations adopting third-party AI
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 2. Governance Framework Design
Architect risk ownership models across legal, security, and product teams
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 3. Compliance Mapping for AI Vendors
Align vendor assessments with GDPR, SOC 2, ISO, and sector-specific mandates
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 4. Technical Due Diligence
Evaluate model transparency, data handling, and API security at scale
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 5. Risk Scoring Methodologies
Develop weighted scoring models for consistent vendor comparison
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 6. Third-Party Contract Evaluation
Identify critical clauses in AI vendor agreements
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 7. Vendor Onboarding Integration
Embed risk checks into procurement and IT workflows
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 8. Continuous Monitoring Systems
Design automated alerts and periodic reassessment triggers
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 9. Incident Response for Vendor Failures
Plan for model drift, data breaches, and service disruptions
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 10. Audit Readiness and Documentation
Generate compliant, stakeholder-ready assessment records
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 11. Scaling Through Automation
Leverage tooling to standardize evaluations across teams
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 12. Future-Proofing Vendor Strategy
Adapt frameworks for emerging AI capabilities and regulations
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
How this maps to your situation
Before vs. after
Before
Reactive, inconsistent evaluations that slow down procurement and create compliance gaps
After
A scalable, repeatable process for assessing AI vendors with confidence and speed
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 hours per module, designed for professionals balancing delivery and learning
If nothing changes
Without a structured approach, organizations face increasing exposure to data incidents, compliance penalties, and operational disruption as AI vendor use grows unchecked
How this compares to the alternatives
Unlike generic risk courses, this program focuses exclusively on AI vendor ecosystems with implementation-grade tooling and real-world workflows for high-growth environments
Frequently asked
Who is this course designed for?
Business and technology professionals managing AI procurement, compliance, security, or vendor governance in scaling organizations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there practical support included?
Yes, every module includes downloadable templates, worked examples, and the full implementation playbook is delivered at enrollment.
$199 one-time. Approximately 3 hours per module, designed for professionals balancing delivery and 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