Core Insights - Companies are rapidly increasing investments in AI technologies, but the effectiveness of these implementations is showing significant disparities across different organizations [1][6] - The success of AI deployment is less about the technology itself and more about whether companies have established a robust operational system that allows for continuous evolution of AI agents [1][9] Group 1: AI Implementation Trends - Many enterprises are accelerating their AI deployment plans, focusing on areas like intelligent customer service and automation platforms [1] - There is a noticeable trend where some companies achieve substantial automation improvements within months, while others remain heavily reliant on human intervention despite implementing AI [1][6] Group 2: Operational Systems and AI Agents - The true competitive advantage in the age of AI agents lies in the ability of companies to view operations as an integral part of the product, rather than a secondary function [3][9] - Companies that successfully transition AI agents from auxiliary tools to core roles do so by establishing a complete feedback loop that includes correction, learning, and execution [7][12] Group 3: Knowledge Management and Continuous Improvement - The effectiveness of AI agents is contingent upon the establishment of a healthy operational system that allows for continuous learning and experience accumulation [6][9] - Companies must actively structure, label, and encode their business rules and industry knowledge to facilitate the ongoing training of AI agents [9][12] Group 4: Future of AI in Business - The operational capability of a company will increasingly determine the stability and scalability of its AI capabilities, moving away from a one-time deployment model to a continuous effectiveness model [11][12] - The competition in the AI era will revolve around which organization can effectively utilize and nurture AI to derive long-term value [13][14]
天润云（02167.HK）指出AI落地痛点：90%智能体“死”于缺乏运营