Enterprise software procurement has shifted from evaluating feature sets to auditing decision logic. In this episode, Lucas and Luna examine why major corporations are now requiring vendors to disclose how their algorithms rank leads, score risk, or prioritize support tickets. We look at the specific case of a global logistics firm that paused a multi-million dollar contract after discovering opaque scoring weights, and discuss the new standard for 'explainable AI' in B2B contracts. This is not about black-box magic anymore; it is about auditability, bias mitigation, and the legal liability of automated decisions.
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