Enterprise AI projects usually stall because of a strategic context gap rather than technical limitations. Up to 95% of generative AI pilots fail to yield a financial return because frontier models—which are trained on overlapping public data—lack an organization’s specific institutional knowledge. Without a clear strategic narrative to define positioning, core boundaries, and domain context, AI models operate in the dark, leading to misaligned outputs and failed implementations.
