Description

A tailored course, built for your situation

Mid-Market AI Vendor Risk Assessment for Senior Leaders

A structured, implementation-grade framework for assessing AI vendor risk in mid-market organizations

$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 choices without a clear assessment framework slows decision-making and increases hidden risk

The situation this course is for

Mid-market leaders face growing pressure to adopt AI tools quickly, but standard procurement processes aren't equipped to evaluate model behavior, data use, or long-term compliance. Without structured assessment methods, teams default to gut feeling or delay decisions entirely, missing opportunities or accepting unacceptable risk.

Who this is for

Senior business and technology leaders in mid-market organizations (50, 2,000 employees) responsible for AI adoption, vendor selection, risk oversight, or operational governance

Who this is not for

Individual contributors without decision authority, startup founders in pre-product stage, or leaders in organizations under 10 employees

What you walk away with

Apply a repeatable framework to assess AI vendor risk across technical, legal, and operational dimensions
Identify hidden contractual and data-use pitfalls in vendor agreements
Align cross-functional stakeholders using standardized evaluation criteria
Accelerate procurement cycles with confidence in due diligence
Build internal capability to govern AI adoption at scale

The 12 modules (with all 144 chapters)

Module 1. Foundations of AI Vendor Risk in the Mid-Market

Understand the unique risk profile of mid-market AI adoption and how it differs from enterprise and startup contexts

12 chapters in this module

Module 2. Mapping the AI Vendor Landscape

Classify vendors by risk tier based on deployment model, data handling, and integration depth

12 chapters in this module

Module 3. Core Risk Dimensions: Model, Data, and Compliance

Break down the three pillars of AI vendor evaluation with practical scoring criteria

12 chapters in this module

Module 4. Vendor Due Diligence: Technical Evaluation

Assess model performance claims, validation practices, and transparency mechanisms

12 chapters in this module

Module 5. Data Governance and Third-Party AI

Evaluate how vendors handle data ingestion, storage, and re-use across jurisdictions

12 chapters in this module

Module 6. Contractual Risk and Licensing Models

Decode AI-specific clauses in vendor agreements and identify red flags

12 chapters in this module

Module 7. Compliance Alignment: Privacy, Security, and Industry Standards

Map vendor practices to evolving regulatory expectations and audit requirements

12 chapters in this module

Module 8. Operational Integration Risk

Assess long-term fit with existing systems, skill sets, and support capacity

12 chapters in this module

Module 9. Stakeholder Alignment and Decision Frameworks

Engage legal, IT, finance, and business units with consistent evaluation criteria

12 chapters in this module

Module 10. Risk Scoring and Tiered Decision Making

Implement a weighted scoring model to prioritize vendor options by risk exposure

12 chapters in this module

Module 11. Building Internal AI Vendor Assessment Capability

Develop repeatable processes and role clarity for ongoing evaluations

12 chapters in this module

Module 12. Future-Proofing AI Procurement

Adapt assessment frameworks as AI capabilities and regulations evolve

12 chapters in this module

How this maps to your situation

Before vs. after

Before

Uncertainty in AI vendor selection, inconsistent evaluation methods, delayed decisions, reliance on external consultants

After

Confidence in vendor assessments, faster procurement cycles, stronger cross-functional alignment, internal risk governance capability

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 6, 8 hours per module, designed for application alongside active vendor evaluations

If nothing changes

Continuing without a structured assessment approach increases exposure to compliance gaps, data misuse, and operational disruption, all while slowing innovation velocity

How this compares to the alternatives

Unlike generic AI ethics courses or high-level executive briefings, this program delivers implementation-grade tools specifically for mid-market contexts, where resources are constrained but risk exposure is significant

Frequently asked

Who is this course designed for?

Senior business and technology leaders in mid-market organizations responsible for AI adoption, vendor selection, or risk oversight.

How is the course structured?

12 modules, each containing 12 chapters (144 chapters total).

Is this course technical?

It is implementation-focused, balancing technical depth with leadership decision-making, no coding required.

$199 one-time. Approximately 6, 8 hours per module, designed for application alongside active vendor evaluations.

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