Vendor & Tool Evaluation
Learn how to evaluate, select, and govern AI vendors and tools with the same rigor you bring to any major technology investment — map the vendor landscape, build a defensible evaluation scorecard, assess AI-specific risks, and establish post-deployment governance that ensures sustained value. Designed for senior leaders who need to move beyond impressive demos and vendor promises and lead with a structured, repeatable evaluation methodology.
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Episode 0: Vendor & Tool Evaluation- Introduction
Meet the leadership team navigating Atlas Logistics Group's AI vendor chaos and preview the end-to-end evaluation and governance methodology you'll build throughout this course.
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Episode 1: The AI Vendor and Tooling Landscape
Map the AI vendor ecosystem from foundation models to vertical solutions and learn why a vendor choice at one layer of the technology stack constrains every layer above it.
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Episode 2: Strategic and Technical Evaluation Criteria
Build a multi-dimensional evaluation scorecard covering strategic fit, technical compatibility, and operational readiness that replaces demo-driven decisions with defensible, consistent vendor assessment.
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Episode 3: Risk, Security, and Compliance Considerations
Evaluate AI vendors for the security, data handling, and compliance risks that standard IT procurement reviews miss entirely — before the contract is signed, not after deployment.
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Episode 4: Commercial Models, Lock-In, and Decision Frameworks
Analyze AI pricing models, calculate true total cost of ownership, assess vendor lock-in across five dimensions, and apply a structured build vs. buy vs. partner decision framework.
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Episode 5: Governance, Change Management, and Continuous Improvement
Establish the post-deployment governance structures, change management practices, and continuous monitoring that turn a one-time vendor decision into sustained organizational value.
