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  • Enterprise AI projects need expectation management because prototypes and operating capability are different
  • Buying AI software is not the same as creating an AI operating capability
  • AI can amplify frontline judgment when field experience is captured and reviewed
  • AI plus people often beats AI-only when the work still requires judgment, feedback, and responsibility
  • FDE is the role that helps AI go to work inside real enterprise workflows

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Enterprise AI projects need expectation management because prototypes and operating capability are different Buying AI software is not the same as creating an AI operating capability Enterprise RAG and knowledge-base projects often fail when retrieval is separated from workflow and feedback loops Platform leverage is the key to scaling the FDE model beyond individual custom work Why model access is not the same as enterprise AI deployment
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