Automation
AI + Automation
Bank
Insurance
Logistics
In the long history of science and technology, 15 years may be just a flick of the fingers, but in China's software industry, 15 years is enough to complete an epic leap from "following" to "leading".
When the arms race of the large-scale model gradually shifts from the parameter scale to the "deep-water area" where applications are implemented, the organizational form of enterprises is ushering in a "singularity" change.
From process standardization to business automation, and then to agent automation, AI technology is no longer an auxiliary means separated from the core structure of the enterprise, but embedded in every link of organization management, production and operation, and business decision-making, reshaping the productivity pattern of the industry and enterprise.
In 2026, it coincided with the 15th anniversary of the founding of i-Search. At the spring new product launch conference with the theme of "the future of intelligent evolution is at hand", i-Search reviewed the 15 years' technological accumulation and launched two new products of intelligent automation. It proved with quantifiable value that intelligent agents are no longer conceptual gimmicks, but the core productivity of enterprises that can be implemented, reused and scaled.
I-Search helps Chinese enterprises complete the transformation of intelligent automation by deeply integrating AI automation capability into the whole process of enterprise business
Anchoring automated track
From efficiency tools
To intelligent productivity change
"Now, the fourth industrial revolution with AI as the core is accelerating, and the speed of productivity innovation is far faster than before. ”Tang Qisong, founder and CEO of i-Search, said in his speech.
IDC reports that the $650billion enterprise application software market is about to be overturned by AI agents. "Every industry deserves to be reconstructed by agents" is no longer a slogan, but a necessary option for the digital survival of enterprises.
Over the past decade, enterprise process optimization has always been carried out around "automation". From early scripts to widely used RPA, such tools help enterprises complete a large number of repetitive and rule-based tasks, and become the core means of process optimization.
Due to the lack of dynamic reasoning ability, these tools are often only competent for structured and repetitive scenarios, and can not learn and adapt to the changes of the new business environment. At the same time, it is difficult to deal with complex unstructured data, and there are shortcomings in language understanding, semantic parsing and other core capabilities.
As AI agents are deeply embedded in business, they can make decisions independently and dynamically based on real-time data, significantly reduce manual intervention, and disassemble business objectives into automatically executable steps, upgrading a complex process from "automation" to "agent automation".
This is no longer a simple technology overlay, but a whole set of system transformation of "perception understanding decision execution self tuning".
Tangqisong pointed out that the digital transformation of enterprises must go through three stages: the first stage is the digital infrastructure construction, which realizes the online business, the digitization of paper data, and the completion of data availability; The second stage is the automation upgrade, which relies on the intelligent assistant and the whole process automation ability to realize the efficient operation of the system; The third stage is intelligent transformation, and AI and agents are popularized in an all-round way.
This is not only the development law of the industry, but also the landing path of the art competition flag for 15 years.
Over the past 15 years, i-Search has always been based on the actual needs of enterprises, making technology serve the improvement of productivity, rather than chasing conceptual bubbles.
In tangqisong's view, artificial intelligence, which is separated from the practical experience of the industry, cannot meet the needs of enterprises. Only by anchoring the value of the real industry, can intelligent transformation be truly realized as efficiency improvement and productivity leap forward growth.
From large model to agent
The turning point of 2026 agent automation has reached
Last year, AI ushered in a key turning point, and the development of large models shifted from parameter competition to industrial landing.
Despite the large model of privatization of the layout of many enterprises, its application is limited to shallow scenarios such as knowledge base and intelligent question and answer, which cannot touch the core business scenarios and is difficult to create practical value.
At the beginning of 2026, the industry trend became more and more clear: the enterprise AI agent officially went out of the customer service window and chat dialog box and penetrated into the core business of R&D, production, supply chain, finance and so on. This transition from "peripheral assistance" to "core intervention" redefined the boundary of enterprise digitization.
Wu Xin clearly pointed out that 2026 is the key turning point of the AI industry, and AI technology has officially moved from the stage of knowledge understanding to the stage of independent operation and business practice.
With the advent of operational agents, AI has moved from "understanding the world" to "transforming the world", truly realizing the closed-loop implementation of the whole business process.
He believes that the evolution of artificial intelligence has gone through four stages: algorithm, traditional machine learning, large language model and agent, and is now in the critical period of comprehensive transformation from large model to agent.
Only the agent automation system combined with RPA technology can complete the full link closed loop of "thinking decision execution".
Wu Xin stressed that in the future, agents will move towards commercial collaboration and ecological collaboration, and multi-agent linkage operation will become the norm in the industry.
The core advantage of i-Search lies in the deep integration of the agent and RPA, which not only retains the standardization, stability and security of RPA, but also endows the agent with independent thinking, logical judgment and complex processing ability, perfectly adapts to the enterprise level core business scenarios, and solves the industry pain point of "instability, insecurity and imprecision" of general AI tools.
Based on the new starting point of the 15th anniversary, Yisai banner has launched two new intelligent automation products - automated magician and docagent, which accurately and directly meet the needs of industries such as the long development cycle of enterprise automation, high operation and maintenance costs, cumbersome document processing, and difficult cross system collaboration, and become the benchmark products for the implementation of intelligent automation.
Automated magicians can independently complete the construction of the entire automated process with only natural language instructions: automatically splitting business steps, reading data, exploring pages, automatic testing, error correction and optimization. Even non professional developers can quickly develop simple processes, significantly reduce technology development costs, and improve development efficiency and quality.
Its biggest advantage is the perfect balance between AI flexibility and enterprise level stability. It can be generated and operated stably at one time, without the need to call the large model repeatedly. It can eliminate the problems of operation deviation, data leakage, memory deviation and so on, and adapt to the high security and high compliance requirements of the enterprise's core business.
At the same time, it effectively solves the two pain points of long development cycle and high operation and maintenance cost of traditional automation, and realizes the lightweight, stable and large-scale implementation of automation process.
Docagent integrates document collection, classification, information extraction, data verification, process push, system backfill, and receipt sending. It supports multi-channel access such as mailbox, folder, and network disk, and adapts to full format documents such as PDF, word, Excel, scanned copies, and pictures, and can handle complex scenarios such as mixed documents, multi page tables, and multi document consolidated files.
For non-standard customized documents, identification templates can be quickly generated through natural language to adapt to different enterprise specifications.
At the same time, support the dual deployment of public cloud SAAS and all-in-one machine privatization, taking into account the lightweight needs of small and medium-sized enterprises and the customization needs of high security enterprises such as finance and manufacturing.
For example, for overseas import and export business, the document agent can capture the key information of the bill of lading and packing list from various overseas import and export trade documents, and automatically check and match it with the customs declaration and order. It can directly reduce the processing time of thousands of documents from a few days to a few minutes, greatly improving the document processing efficiency.
Two major agent products, one focusing on automation process construction and the other focusing on the whole process processing of documents, form a product matrix driven by "process+data", which perfectly meets the intelligent transformation needs of the whole business chain of the enterprise, and also makes the intelligent automation system of i-Search move from concept to implementation.
Empirical implementation of Qianxing Baiye
Agent Automation Construction
Core competitiveness
The value of technology ultimately depends on the verification of landing results. Over the past 15 years, i-Search has never stopped technological innovation, and has always adhered to the original intention of "technology oriented, customer first". Intelligent automation solutions have been implemented in the fields of manufacturing, industry, finance and insurance, fully confirming the stability, practicability and scale value of products.
As a diversified enterprise with a revenue of more than 100 billion yuan, Zhongtian Technology is faced with common pain points in the manufacturing industry, such as repeated process operations, heavy manual workload, cross system data barriers and so on.
In this regard, yisaiqi has embedded the intelligent automation solution into the business process of Zhongtian Technology. At present, 22 digital robots have been deployed, covering 112 business scenarios, covering core links such as production quality inspection, contract management, equipment operation and maintenance, document archiving, bidding management, and so on. It has run more than 20000 times in total, and the operation accuracy is close to 100%.
Through intelligent transformation, the enterprise saved 90000 yuan of labor cost per month, saved 11 working hours, reduced the cost by more than one million annually, and improved the overall process efficiency by more than 80%; The response efficiency of the device intelligent question answering system was improved by 85%, and the delay was shortened to 3 seconds.
As a global door manufacturer with a history of more than 90 years, Hohmann group is facing many pain points, such as repeated administrative work, high system input errors, and difficulties in cross regional and multilingual cooperation.
Relying on the technical solution of i-Search, Hohmann door industry has achieved 70% cost reduction, 70% capacity increase and three times business flow efficiency by automating the design of wicam and replacing the manual operation of engineers four hours a day.
The digital supply chain realizes the automatic collection, classification and archiving of the whole process information, with zero manual operation and zero data error, which further verifies the universality and stability of the scheme in the global industrial scene.
The financial and insurance industry has the characteristics of high customization, high compliance and high security. Zhongyi insurance has long faced pain points such as strong customization of customer needs, cross system data barriers, high manual dependence and difficulty in heterogeneous data processing.
To this end, Zhongyi insurance has completed three stages of intelligent transformation and upgrading with the technology competition flag: from the automation of a single RPA process, to the integration of ai+ocr to optimize business links, and then to the realization of full service link enablement with the agent as the core.
I-Search will deeply connect the agent with the internal business system, implement core scenarios such as automatic processing of premium bills, intelligent optimization of customer solutions, and intelligent matching of cooperative insurance institutions, and use human-computer collaboration to replace basic manual operations, significantly improving service efficiency and professionalism.
Intelligent transformation is not an overnight revolution, but a gradual upgrade. Starting from a small pilot scenario, we will carry out rapid iteration and large-scale promotion. We will adhere to the short-term implementation of RPA and the long-term empowerment of AI agents to respond to industry competition through active change.
This is not only the practical experience of yisaiqi in the past 15 years, but also the most pragmatic path of enterprise digital transformation.
In the era of deep integration of digital economy and real economy, agent automation has long been not an option for enterprises, but a required course to enhance core competitiveness.
I-Search's 15 years of practice has proved that there is no shortcut for intelligent transformation. Only based on the actual situation of the industry, adhering to the original intention of technology and focusing on the implementation of value can AI be truly transformed into enterprise productivity and help enterprises achieve digital breakthrough.
