About the Author
César Pedro Zea Gómez
Principal Architect & Senior Consultant. 35 years inside software, the last five leading production AI delivery. Hands-on across backend, databases, enterprise frontend and AI/Data.
This document presents an extensive analysis of the paradigm shift towards artificial intelligence agents in the enterprise environment, intended to provide leaders in medium and large enterprises with a strategic guide to navigating governance, architecture, and value in the agentic era.
The document is broken down into the following chapters:
Executive Summary: Provides a high-level overview of the AI agent revolution, market opportunities, adoption data, and the strategic challenges it poses for companies, presenting key conclusions to inform decision-making.
Enterprise AI Agents: Platforms vs. Protocols: Conducts a comparative analysis between the two dominant philosophies for agent deployment: the open protocol approach (such as the Model Context Protocol - MCP) and the integrated platform model (exemplified by Dataiku - https://www.dataiku.com/), arguing for the superiority of the latter for the needs of large corporations.
Annex A. Theoretical AI Agents Fundamentals: Provides an exhaustive theoretical foundation on the concepts of intelligent agents, their architectures, taxonomies, and the fundamental technical and ethical challenges. This section serves as an academic reference for a deep understanding of the subject.
Annex B. The Agentic Bloom: An Analysis of 2025's Explosive Market Growth: Documents the unprecedented acceleration in the adoption of AI agents during 2025. It analyzes the catalysts for this growth, such as protocol standardization and the launch of enterprise-scale platforms by major cloud providers.