How a Test Architect Used Facts and Timing to Derail a Flawed $600K AI Deal

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Lena, a Senior Test Architect at NexPay, a cross-border payments fintech, was assigned to evaluate DeepCover AI after the CTO announced a $200K contract at a Q3 all-hands meeting. Over three weeks, she discovered the platform's AI was a hardcoded rule-template engine with a thin language model wrapper, incapable of handling complex fintech test scenarios. She also found that the SaaS platform routed data through US servers, violating NexPay's policy against financial data leaving the country. The quoted $200K price was per environment, meaning the actual first-year cost would exceed $600K once three standard deployment environments were accounted for. When her four-page report was dismissed by the CTO, Lena shifted tactics and began sharing key findings informally with budget and compliance stakeholders instead.

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