Waiting for the emergence of an AI Utility is a strategic trap for the enterprise. Instead, the enterprise must build an AI Factory to deploy its intelligent agents. The utility provides the raw power (tokens). However, the AI Factory requires a machine to process that power. That Proprietary Intelligence Engine is the enterprise’s machine. It is the infrastructure layer where its data and business logic live, both of which are required for realizing impactful and enduring value.
In the first three parts of this series, we achieved three objectives. We described the characteristics of the AI-first company.…
In the piece Agents in the AI-First Company I introduced a five-level spectrum for understanding software agents. The piece generated…
AI agents are an important component of the transformation to become an AI-first company. Corporations undertaking this transformation must understand where and how to incorporate agents and which agent types to utilize in the AI-centric processes they establish and the organizational structures they adopt. The article presents AI agent types, outlines how corporations should think about “agentification” as they transform to become AI-first, and explains how our firm’s AI methodology fits agents into AI-first business processes.
In today’s corporate digital transformation landscape, “AI-first company” is emerging as a term that deserves real attention, not just another consultant’s buzzword. But can an incumbent truly transform to become AI-first, as Intuit is attempting, or must it be designed that way from inception, like Tesla? In my previous article, I defined the AI-first business process and contrasted it with AI-enhanced processes. This piece builds on that foundation to define what an AI-first company is, describe its defining characteristics, and provide examples of corporations undergoing this transformation.