QbitAI's research arm released a report titled "Agent-Driven Enterprise Intelligence: From Point Efficiency to Scaled Reshaping," arguing that many companies are seeing "false prosperity" in AI adoption because individual productivity gains do not translate into business results. It identifies six breakpoints — task definition, data trustworthiness, verifiable judgment, action execution, permission and accountability, and value measurement and replication — and proposes that enterprise Agents need end-to-end capabilities spanning tasks, context, judgment, action, control and measurement. Vendor cases cited include NetEase Smart Enterprise's EasyData, DataAgent and CodeWave SDD: Sanhua Intelligent Controls cut budget analysis from 2-3 hours to 10 minutes, Kongge Digital Technology shortened a new-energy CRM build from 60 person-days to 16, and Shanghai Qitong Digital Technology reported roughly 2.5x efficiency with a 78.63% first-time feature usability rate on its BIMS system. The report recommends running one high-value scenario to closure first, then turning validated metric definitions, interface components, approval rules and anomaly samples into reusable assets for scaling.