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

Enterprise AI organizations face a critical trust crisis: 57% have experienced AI agents confidently delivering incorrect answers due to missing or inconsistent business context, yet most are still building the governance infrastructure (semantic layers) needed to address this gap. While retrieval-augmented generation (RAG) dominates as the default context source and provider-native solutions are winning in practice, enterprises' stated preference for best-of-breed independence conflicts with their actual purchasing behavior, creating architectural fragmentation that amplifies reliability risks.