The Knowledge Gap: Why AI Agents Struggle Without Business Context

AI agents can efficiently execute technical tasks like writing code and opening PRs, but they lack the business context needed to understand why features exist or make strategic decisions. Organizations often hold critical knowledge—product strategy, architectural decisions, failed attempts, and design constraints—only in human minds, not in repositories. This undocumented knowledge becomes the real bottleneck as teams scale and people leave, preventing AI from evolving beyond simple task execution to genuine understanding.