WPS 365 releases new organization-level AI product Comate, delivering the industry’s first enterprise brain

Zhidongxi Author | ZeR0 Editor | Mo Ying Zhidongxi reported on July 17 that on July 15, Kingsoft Office held the "2026 AI Productivity Conference" in Shanghai. Kingsoft Office Vice President Wang Dong announced the comprehensive upgrade of WPS 365, launched the organizational-level AI product WPS Comate, and delivered the first "enterprise brain" solution. AI is accelerating the evolution of office software. As early as 2024, Kingsoft Office took the lead in proposing the concept of "enterprise brain", aiming to create an AI infrastructure for organizations that truly understands data, organization, and business. In the past two years, Kingsoft Office has focused on one thing - building an enterprise-level intelligent knowledge base to turn all office data scattered in various office components into knowledge. The real breakthrough lies not in the tool itself, but in how to make AI truly understand the enterprise. "Large models are very smart, but they don't understand your business." Wang Dong said bluntly that the core reason for the poor implementation of enterprise AI is that AI cannot understand the business logic, rules and data context within the enterprise. Travel standards, contract review specifications, and project cost structures—these enterprise-specific knowledge are precisely the weakest links in the general model. To this end, Kingsoft Office has launched a new organizational-level AI office product, WPS Comate, and built a "three-two-one" enterprise AI implementation system. The “three links” refer to connecting knowledge, data, and capabilities. AI Docs builds an enterprise-level intelligent knowledge base, turning all office data into knowledge fuel; Data Hub allows AI to truly understand business data through semantic models; API Hub unifies system docking, allowing AI to upgrade from answering questions to executing tasks. "Two controls" refers to managing costs and managing safety. AI Hub can manage and control token resources according to the dimensions of people, positions, and tasks, allowing enterprises to configure models on demand, preset quotas, and optimize costs; Trust provides a multi-dimensional security system including management of identities and permissions, data classification, terminal environment trust, and AI security trust governance to ensure data security. “An enterprise only needs to build an AI office platform.” Wang Dong believes that currently enterprises are faced with platform fragmentation,