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Most enterprise AI failures aren’t caused by bad models. They’re caused by teams trying to scale automation on top of search-era infrastructure. This article is about what breaks after the demo and what you have to build differently.
Legacy organizations caught between two S-curves must quickly decide whether to start from scratch and migrate, or to modernize their technical debt within their existing organizational structures. Organizations embracing an AI-first approach will make the key architectural shift needed to gain an attacker’s advantage.