Enterprise AI agents’ success depends critically on the development and implementation of middleware infrastructure, according to analysis from CIO. The middle layer serves as a bridge between AI models and enterprise systems, handling integration, data management, and operational requirements that determine whether AI agents can function effectively in production environments.