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Coocaa Launches Enterprise AI Operating System, Pioneering AI-Native Organizational Management
Coocaa Technology has officially released Happy Work AIOS Lite MVP, an enterprise AI operating system featuring a four-layer agent architecture designed to restructure corporate management processes.
According to reports from Jiwei.com, Coocaa Technology (Shenzhen Coocaa Network Technology Co., Ltd.) has officially launched its native AI enterprise operating system — Happy Work AIOS Lite MVP — aiming to transform corporate management from traditional "carbon-based management" to "silicon-based management" using AI agent architecture.
The system is built on a four-layer agent framework: an enterprise-level agent for strategic goal-setting and business modeling; role-based agents for decomposing strategic tasks and defining responsibilities; personal agents serving as transferable capability avatars; and task agents driving execution closure. These four layers work in coordination to convert enterprise objectives into trackable, feedback-driven digital workflows.
Coocaa CEO Wang Zhiguo stated at the briefing that the real challenge facing enterprises is not a lack of tools but the inherent bottlenecks of "carbon-based management" — cognitive gaps, information silos, execution deficits, and competitive disadvantages caused by inertia and experience dependency, which distort strategy as it cascades through the organization.
The company adheres to a "human-machine co-pilot" design philosophy: AI handles goal decomposition, coordination reminders, and progress tracking, while key decisions and creative work remain human-led. Coocaa also announced plans to establish the Shenzhen Silicon-based AI Management Innovation Research Institute to advance theoretical frameworks and industry standards in this space.
Why it matters
Coocaa's transition from smart TV OS to enterprise AI management signals an emerging trend in China's enterprise software market — addressing organizational challenges through AI-native operating systems rather than traditional SaaS tools. Its four-layer agent architecture may serve as a reference model for enterprise AI adoption.