Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't

Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in the past six months, and the single most common answer is not "once" but "more than once." The counterintuitive part is which companies report it. Enterprises building or running a governed semantic layer (a layer of company-specific definitions and relationships) report recurring failures at more than twice the rate of those without one.The infrastructure built to fix bad context is, so far, mostly revealing how much bad context there is. Meanwhile the architecture meant to solve the problem commands no consensus at all: hybrid retrieval and outright pluralism finish one respondent apart, in