Today, ZTE officially announced the launch of its enterprise-level AI agent - Co-Claw Enterprise Edition. The official stated that through addressing key shortcomings such as enterprise deployment, security governance, and capability reuse, this product marks a new stage in the "scaled application" of AI agents within ZTE. This is not only a technological upgrade but also a crucial step in the intelligent transformation of enterprise office models.
In terms of deployment mode, Co-Claw Enterprise Edition abandons the common local small host (such as Mac mini) approach, and instead moves the runtime environment to enterprise internal cloud computers. This enterprise-level operation ensures that the AI agent can respond to tasks stably, like a "staff member always on duty." At the same time, by relying on ZTE's own scalable digital cloud computers, this solution has minimized runtime costs, achieving efficient resource utilization.
The model capabilities of Co-Claw are provided by ZTE's own MaaS service, enabling "on-demand use" of models within the enterprise, effectively avoiding the challenges of repeated configuration and maintenance. Combined with the image pre-installation capabilities of ZTE's new Zhidian network, Co-Claw can be directly embedded with the system image. Employees need only simple operations to achieve "one-click deployment and out-of-the-box usage," significantly lowering the threshold for large-scale adoption.
Currently, Co-Claw has launched various applications on ZTE's internal Skills Plaza. In intelligent office scenarios, it can automatically search across spaces and organize meeting minutes; in agile development scenarios, developers can quickly create requirements or simulate compilation through natural language input; and in business operations scenarios, it helps frontline managers quickly extract core contract clauses and identify compliance risks.
ZTE demonstrates how AI agents can be deeply integrated into complex business processes through the comprehensive application of Co-Claw. This model, which uses cloud computers as a carrier, MaaS as the core, and Skills Plaza as the application end, provides a highly reference-worthy blueprint for large enterprises to achieve large-scale AI implementation. As AI technology continues to evolve, such "virtual employees" will become the core driving force in enhancing enterprise productivity.
