Why Stronger Models Still Make Organizational AI Answer Wrong: Data Semantic Governance and the Implementation Boundaries of Enterprise Agents

Yang Chaoran, founder of Shuwo Technology, proposes that the reliability of organizational agents depends not only on the model, but also on whether business meanings can be correctly selected and continuously used, and offers six judgments centered on legitimate definitions, unknown conditions, applicable context, authorization boundaries, industry variables, and consumption relationships. The article discusses architecture and evaluation using synthetic counterexamples and public specifications, emphasizing that semantic governance is one of the operating conditions and does not replace the separate validation of data, models, security, and responsibility.