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Pragmatic AI Vendor Risk Assessment for Cross-Functional Programs

$199.00
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A tailored course, built for your situation

Pragmatic AI Vendor Risk Assessment for Cross-Functional Programs

A practical framework for leading AI vendor risk initiatives across teams and functions

$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.
Difficulty aligning legal, technical, and business teams on AI vendor risk criteria

The situation this course is for

Teams often lack a shared language and structured process for evaluating AI vendors, leading to delayed decisions, inconsistent risk thresholds, and misaligned expectations across departments.

Who this is for

Business and technology professionals leading or supporting AI vendor risk assessment across compliance, security, procurement, legal, and engineering functions

Who this is not for

Individuals seeking introductory AI awareness content or general cybersecurity hygiene training

What you walk away with

  • Apply a repeatable framework to assess AI vendor risk across technical, legal, and operational dimensions
  • Lead cross-functional alignment on risk criteria without requiring deep technical expertise
  • Integrate compliance requirements into vendor evaluation workflows
  • Identify high-risk patterns in AI vendor proposals and contracts
  • Deploy a tailored implementation playbook to accelerate program adoption

The 12 modules (with all 144 chapters)

Module 1. Foundations of AI Vendor Risk
Establish core definitions, risk categories, and the business impact of AI vendor decisions
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 2. Cross-Functional Risk Governance
Map stakeholder roles and decision rights across legal, security, procurement, and engineering
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 3. AI Vendor Risk Pattern Recognition
Identify red flags in vendor claims, model behavior, and data practices
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 4. Compliance Integration Frameworks
Align AI vendor assessments with evolving regulatory expectations
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 5. Technical Risk Assessment Basics
Evaluate model transparency, explainability, and infrastructure security without deep coding knowledge
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 6. Contractual Risk Leverage Points
Structure agreements to enforce performance, audit rights, and liability terms
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 7. Third-Party Audit and Assurance
Leverage external certifications and audit reports in vendor evaluation
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 8. Risk Communication Across Functions
Translate technical risk findings into actionable insights for non-technical leaders
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 9. Incident Response and Vendor Escalation
Prepare response protocols for AI-related incidents involving third-party vendors
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 10. Scaling Risk Assessment Across Portfolios
Apply consistent evaluation criteria across multiple AI vendors and use cases
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 11. Building Internal Risk Capacity
Develop training and support structures for ongoing vendor risk management
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12
Module 12. Future-Proofing AI Vendor Strategy
Anticipate emerging risk trends and adapt assessment frameworks accordingly
12 chapters in this module
  1. c1
  2. c2
  3. c3
  4. c4
  5. c5
  6. c6
  7. c7
  8. c8
  9. c9
  10. c10
  11. c11
  12. c12

How this maps to your situation

  • Evaluating a new AI vendor for enterprise deployment
  • Responding to increased board scrutiny on AI procurement
  • Aligning legal, security, and engineering teams on risk thresholds
  • Building a repeatable process for AI vendor due diligence

Before vs. after

Before
Reactive, inconsistent, and siloed AI vendor risk assessments
After
Proactive, standardized, and cross-functionally aligned risk decision-making

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 45, 60 minutes per module, designed for completion over 6, 8 weeks with flexible pacing

If nothing changes
Continuing with ad-hoc evaluation methods increases the likelihood of oversight gaps, misaligned stakeholder expectations, and delayed AI program delivery.

How this compares to the alternatives

Unlike generic AI risk overviews or compliance checklists, this course provides a structured, implementation-grade framework tailored to cross-functional programs and real-world vendor engagement scenarios.

Frequently asked

Who is this course designed for?
Professionals leading or supporting AI vendor risk assessment across legal, compliance, security, procurement, engineering, and business functions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is technical expertise required?
No. The course is designed for cross-functional leaders and does not assume deep coding or data science knowledge.
$199 one-time. Approximately 45, 60 minutes per module, designed for completion over 6, 8 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
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