Enterprise AI should treat LLMs as limited interfaces for extraction rather than monolithic engines, delegating knowledge and computation to dedicated modular components for better reliability and scalability.
Enterprise ai adoption: Balancing innovation and roi in 2026
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Position: Avoid Overstretching LLMs for every Enterprise Task
Enterprise AI should treat LLMs as limited interfaces for extraction rather than monolithic engines, delegating knowledge and computation to dedicated modular components for better reliability and scalability.