UpTrajectory Review
Enrique Dans discusses the evolution of enterprise AI, emphasizing that the future lies not in improving existing tools but in integrating AI into the very fabric of business processes. He argues that successful AI implementation requires a shift from viewing AI as a mere tool to treating it as a foundational element of organizational infrastructure. This perspective is crucial for small business owners who need to understand that merely adopting AI technologies is not enough; they must also rethink how these technologies fit into their operational workflows.
For small business operators, this insight is particularly relevant as it highlights the importance of workflow redesign in achieving tangible benefits from AI. The article points out that organizations that embed AI deeply into their processes are the ones reaping the most significant rewards. This suggests that small businesses should focus on integrating AI into their core operations rather than just using it for superficial tasks. As the landscape of enterprise AI continues to evolve, those who adapt their strategies accordingly will likely find themselves ahead of the competition.
“the problem was never just whether models could answer well.” — Fast Company
Takeaway: Integrate AI into your core workflows to unlock its full potential for your business.
Excerpt from the original — Fast Company
In an article a couple of weeks ago, I argued that the failure of enterprise AI was not really about enthusiasm, adoption, or even model capability. It was architectural: large language models were never built to run a company. Companies run on memory, context, feedback, and constraints, while LLMs remain, at their core, systems for predicting text.
In a second one, I argued that the answer was not “better prompts,” but a deeper shift: from tools to systems, from answers to outcomes, from copilots to systems of action, and from prompts to constraints. Enterprise AI cannot be session-based. It has to remember.
That argument now needs a third step, because something important is starting to happen: the systems that are beginning to work in enterprise AI don’t look like better chatbots, better copilots, or even better prompt chains. They look like something else entirely …