AI Agents Face Silo Challenges Despite Advancements

AI agents promise productivity, but siloed systems limit their potential. Learn how to overcome agentic AI silos today.
Matilda
AI Agents Face Silo Challenges Despite Advancements
AI agents and the silo trap: what business leaders need to know AI agents are transforming business operations by executing tasks autonomously, navigating complex workflows, and collaborating with other tools—an evolution from conversational AI to action-oriented systems. But even the most advanced AI agents aren’t immune to one of enterprise IT’s oldest problems: silos. Despite their intelligence, these agents often function in isolation, unable to collaborate across departments or platforms. This leads to fragmented workflows, reduced return on investment, and underutilized potential.   Image credit: Pixabay According to a recent industry survey, 61% of executives are already implementing AI agents, aiming for enterprise-wide automation. Gartner predicts these agents will be responsible for 15% of business decisions by 2028. Yet, without addressing siloed deployment, many organizations risk repeating past mistakes—just with smarter technology. This blog breaks down how these silos form…