Core Insights - The financial technology sector is undergoing unprecedented transformation driven by artificial intelligence (AI) advancements, with Jinzheng Co., Ltd. actively engaging in comprehensive technological layout in this wave of innovation [1][2] - Jinzheng has launched several AI applications, including the self-developed financial model K-GPT and the programming assistant "Copilot," establishing a complete technical system from AI infrastructure to application development and scenario implementation [1] Group 1: AI Applications in Financial Services - In wealth management, Jinzheng has developed multiple intelligent agents, such as Business Assistant and Smart Navigator, enhancing transaction speed significantly through professional knowledge retrieval [1] - In asset management, the company has created applications like intelligent trading and risk control based on the A8 new generation investment trading system [1] Group 2: Institutional Operations and Development Tools - The company has built an intelligent agent matrix using the AI-KOCA platform, improving efficiency in account opening, auditing, and data analysis through task planning engines and multimodal recognition technologies [1] - The programming assistant Copilot, based on the code model, provides developers with an efficient coding experience, significantly increasing code generation efficiency and adoption rates [1] Group 3: Achievements of Subsidiaries - Jinzheng's subsidiaries, Jinzheng Youzhi and Jinzhiwei, have also made notable progress in AI, with Jinzheng Youzhi's document platform enhancing productivity through AI-driven document extraction, review, and writing [2] - Jinzhiwei has developed the Ki-AgentS product, which integrates dynamic planning of large models with the controllability of RPA, further improving business process execution [2] Group 4: Future Outlook - The AI applications of Jinzheng are evolving from "tool-based assistance" to "strategic support," with expectations for continued deepening of AI integration in financial scenarios through ongoing technology iteration and ecosystem collaboration [2]