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

Many organizations are racing to build AI infrastructure faster than they can ensure its reliability, leading to a significant trust issue. Despite advancements in retrieval-augmented generation and the shift toward provider-native retrieval systems, a majority still face the challenge of AI agents providing incorrect information due to incomplete or inconsistent context. The emerging solution focuses on a governed semantic layer to address these trust issues, highlighting the importance of context accuracy in enterprise AI to prevent costly mistakes and build user confidence.