Multi-Agent Data Governance: Who Proves That the Agents Changed It Correctly?

Yang Chaoran, founder of Shuwo Technology, proposes that the core increment of agents in data governance is to expand the space of investigable, explainable, and verifiable candidates, rather than automatically making all candidates take effect. The value of multi-agent collaboration comes from complementary evidence rather than majority agreement; work should be divided according to uncertainty and dependencies, and automation should be undertaken through evidence-bearing changes, with promotion of feedback after verification. The article presents an artifact-driven process, review and submission boundaries, counterexamples, controlled evaluations, and a framework verification checklist.