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On the afternoon of May 22, 2025, the 2025 Caineng Hundred People Summit (Yizhuang) hosted by Caineng Technology was grandly opened in Yizhuang, Beijing. This summit brought together nearly 300 industry elites from various parts of the country, including experts and scholars in the field of finance and accounting, corporate CFOs, and financial directors, to jointly explore the future development path of the finance and accounting industry. The summit, with the theme of "New Chapter in Finance and Accounting: Smart City of Innovation", aims to open a new chapter in the field of finance and accounting through digital and intelligent means, and promote industry innovation and change.
At this grand event, I-Search , as a leading enterprise in the field of automation, was invited to participate in the summit and shared with the attendees the exploration and practice of Yisai Flag's intelligent agents in the financial field under the theme of "Embracing AI, Refactoring Financial Productivity".
In the sharing, Li Bo, General Manager of the Solutions Department, highlighted the innovation and application of Yisai Flag in AI intelligent agents. As the next technological hotspot in the development of intelligent finance, intelligent agents are particularly prominent in the field of finance.
In the sharing, Li Bo, General Manager of the Solutions Department, highlighted the innovation and application of Yisai Flag in AI intelligent agents. As the next technological hotspot in the development of intelligent finance, intelligent agents are particularly prominent in the field of finance.
1.Ability to support highly complex tasks: In the field of intelligent finance, the complexity of tasks is mainly reflected in cross domain, cross system, or cross process scenarios. These scenarios involve a large amount of data processing, multidimensional analysis, and cross domain knowledge application.
2. Intelligent agents can support high real-time requirements: In intelligent finance, risk monitoring and market response scenarios require extremely high real-time requirements. Intelligent agents can not only meet the needs of these scenarios through real-time data processing and dynamic decision-making capabilities, but also monitor the dynamic
changes in the market in real time and detect market risks in a timely manner.
changes in the market in real time and detect market risks in a timely manner.
3.In scenarios where intelligent agents can support multi-objective optimization, enterprises often need to optimize multiple objectives such as cost, compliance, and strategic synergy in intelligent finance. Intelligent agents meet these complex requirements through multi-objective optimization algorithms and dynamic adjustment capabilities.
The I-Search Enterprise AI Center provides autonomous intelligent agent construction, orchestrated intelligent agent construction, and out of the box AI services to help enterprises quickly build and implement AI intelligent agent applications.
1.Autonomous intelligent agent construction based on preset rules and scenario based training, achieving automatic configuration and evolution of intelligent agents in business closed loop
2.Build zero code visual drag and drop design for orchestration based intelligent agents, seamlessly integrate RPA robots, and achieve cross system process automation
3.The structure of financial personnel is complex, and out of the box AI services are pre-set with multiple high-precision AI capabilities. With just one click, compliance level enterprise services can be activated
In terms of specific application scenarios, intelligent agents have demonstrated strong capabilities in the automation of the entire reimbursement process, market trends and financial risk prediction, cash flow prediction and dynamic scheduling, accounts receivable management and collection, internal audit, and regulatory response and compliance execution.
For example, in the automation of the entire reimbursement process, intelligent agents can automatically determine the compliance of reimbursement documents and cooperate with RPA to automatically perform operations such as accounting, certification, and payment, greatly improving reimbursement efficiency.
In the automation of market trends and financial risk prediction, intelligent agents use deep learning models to analyze market trends, combine internal financial data for cash flow prediction and bad debt risk assessment. For example, if a customer's credit rating is taken down, RPA will be triggered to automatically adjust credit limits or stop shipments; If the exchange rate fluctuates sharply, trigger RPA to notify the procurement to adjust the payment currency in a timely manner.
In cash flow forecasting and dynamic scheduling automation, if an intelligent agent identifies temporary surplus funds, it can provide suggestions for allocating them to financial management or repayment, triggering RPA to execute operations such as fund transfer and accounts receivable collection.
In cash flow forecasting and dynamic scheduling automation, if an intelligent agent identifies temporary surplus funds, it can provide suggestions for allocating them to financial management or repayment, triggering RPA to execute operations such as fund transfer and accounts receivable collection.
The successful hosting of this summit not only provides a platform for experts, scholars, and corporate executives in the field of finance and accounting to communicate and cooperate, but also showcases the leading position and innovative capabilities of I-Search in the field of financial digitization.
In the future,I-Search will continue to uphold the mission of "accelerating the transformation of enterprise digital productivity to intelligence and helping customers succeed", constantly exploring and practicing the application of intelligent agent technology in the field of finance and accounting, and contributing its own strength to promote the digital and intelligent transformation of the finance and accounting industry.
