23 Daily — According to 36kr.com, Zoho announced its panoramic enterprise AI strategy on October 31, introducing a multi-layer AI architecture that evolves from traditional intelligent answering to automated business process execution. The strategy is composed of top-tier conversational AI assistant AskZia and intelligent agents called Zia Agents, as well as a low-code platform named Agent Studio. In addition, Zoho integrates its ecosystem through the MCP protocol to ensure data security and facilitate multi-party collaboration.
Three-layer AI architecture defines a new direction for enterprise intelligence
Zoho's enterprise AI strategy is supported by three core components: first, AskZia, a conversational AI assistant capable of understanding and responding to user queries; second, Zia Agents, which actively participate in and autonomously complete complex business tasks; third, Agent Studio, a low-code development platform enabling enterprises to rapidly build, deploy, and manage AI workflows. This architecture transforms AI services from merely answering questions to independently executing multi-step business processes.
Ecosystem integration and data security as key technical safeguards
To promote AI adoption in enterprises and reinforce security, Zoho introduced MCP (Multi-Channel Protocol) technology, which not only strengthens interproduct integration and collaboration but also effectively safeguards sensitive corporate data. This protocol supports synchronized operations across multiple endpoints, allowing intelligent agents across organizations to collaborate, thereby building a tightly integrated and controllable AI ecosystem for enterprises.
Editor's take: The strategic shift of enterprise AI from response to execution opens entrepreneurial opportunities
Zoho’s innovation to advance enterprise AI technology from 'understanding answers' to 'executing tasks' reflects the increasing demand for intelligent automation in the market. For entrepreneurs, this means an expansion of AI application scenarios and heightened market potential for solutions combining low-code platforms with intelligent agents.
To validate this trend, methods include assessing client acceptance of automated workflows, testing the efficiency of quickly building AI workflows using Agent Studio, and observing tangible business outcomes generated by multi-system AI collaboration. These indicators can help startups understand the scope and depth of technology adoption and seize new market opportunities driven by AI in enterprise services.