The AI Vendor Evaluation Framework: How to Score AI Products Before You Buy
A six-dimension scoring framework for evaluating AI vendors, with weights, pass/fail gate questions, and a matrix a buyer can apply in a live meeting.
AI complexity is rising. Infrastructure costs are compounding. Vendor hype is everywhere.
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Original breakdowns of AI systems, infrastructure tradeoffs, and platform design.
Decision models for AI deployment, cost structures, and risk management.
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A six-dimension scoring framework for evaluating AI vendors, with weights, pass/fail gate questions, and a matrix a buyer can apply in a live meeting.
Why classic APM misses LLM failures, the four signal layers of LLM observability, what to alert on, and how production traces feed the evaluation loop.
AI agents that buy on your behalf break the payment stack's core assumption. Who carries liability, why fraud models fail, and who captures the margin.
How the card dispute lifecycle works, what chargebacks really cost merchants, why friendly fraud dominates, and when to fight versus refund.
The durable moat in applied AI is not the model. It is the eval suite: the one asset competitors cannot rent, and the one due diligence should price.
What technical due diligence examines, the red flags that kill deals versus reprice them, how AI changes the checklist, and how to scope a rigorous review.
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