The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix

Enterprise AI agents face a 'context gap' where confident but wrong answers stem from unreliable business context, not retrieval failures. A majority of enterprises (57%) have experienced such errors, and while provider-native retrieval tools lead adoption, most organizations are still building governed semantic layers to address trust issues. The market shows a tension between using provider-native tools and a desire for best-of-breed independence.