A new report identifies data quality as a critical underlying issue affecting trust in agentic AI systems. The research suggests that organizations rushing to deploy AI without addressing data problems risk significant business consequences. The report emphasizes that resolving data-related challenges is essential to building reliable and trustworthy autonomous AI agents.