Inadequate data infrastructure currently prevents many organizations from realizing ROI on agentic AI. Unlike basic LLMs, agents require frictionless access to structured and unstructured operational systems to execute real-time actions. MIT Technology Review notes that business context is now the primary bottleneck. Practitioners must prioritize data cleaning over model tuning to enable autonomy.