Organizations are struggling to realize return on investment from agentic AI systems due to fragmented and disconnected data sources that limit the technology’s effectiveness. The issue stems from data silos across enterprise systems, which prevent AI agents from accessing the comprehensive information needed to perform optimally and deliver measurable business value.