When AI meets QA, who takes the wheel? In this episode, we tackle a deceptively simple question with deep operational implications: which team should lead quality assurance? From manufacturing leads who know the defects, to technical teams driving implementation, and enterprise PMOs orchestrating the risk trade-offs—this conversation breaks down the cross-functional choreography behind successful AI-driven QA. We also explore real-world parallels like SpaceX's high-stakes testing and what it teaches us about live QA, decision ownership, and risk tolerance. Fast-paced, technical, and full of real talk.

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