Workspace connects various production and R&D systems across the enterprise, recording behavioral and content information from system operations to build context-rich business action logs

Maximizing the preservation of business system operation process information, which can be combined with data from other systems to uncover more issues using AI

Preserve work processes and summaries that cannot be captured within systems directly in Workspace, supporting multi-person collaboration with custom templates and recording multimodal process information including data and applications. Work logs can be AI-summarized and pushed using automation and large model capabilities, maximizing information retention while eliminating manual inefficiency and information distortion

Enterprise employees create various types of automation processes — including data processing, data visualization, automatic note generation and summarization, and simulation — then package them as apps stored in the App Center, standardizing methods for the same type of automation while enabling easy reuse

Workspace's AI-native features allow all content and processes recorded on Workspace to be read by AI, enabling Workspace to serve as the enterprise's AI information hub

Combined with the custom automation capabilities of the App Center, enterprises can design diverse apps and agents that not only improve business efficiency but also handle business scenarios such as talent identification and process anomaly analysis in a more objective and comprehensive way