After the illusion: what enterprise AI must become

Author - Enrique Dans

The second article moves from diagnosis to design principles. If LLMs are not enterprise architecture, then enterprise AI must become something different: not a tool that answers questions, but a system that changes outcomes. The article reframes the challenge around four transitions: from tools to systems, from answers to outcomes, from prompts to constraints, and from copilots to systems of action. This is the first step toward the deeper idea that enterprise AI has to live inside the operational layer of the company, not beside it as an assistant. Intelligence cannot be bolted onto workflows after the fact. It has to become part of the workflow itself.