Organizations are experiencing diminished returns on investment from agentic AI implementations due to fragmented and disconnected data systems. The article suggests that siloed data architecture prevents AI agents from accessing the comprehensive information needed to operate effectively and deliver expected business value. Addressing data integration challenges appears to be essential for enterprises seeking to maximize the financial benefits of their agentic AI initiatives.