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On December 19th, 2025, the "2025 AI+manufacturing Innovation Summit" hosted by e-works was successfully held in Shenzhen. With the theme of "Ai empowering industry, piloting future manufacturing", this summit brought together nearly 500 manufacturing experts, enterprise representatives and solution suppliers to discuss the path of industrial AI technology landing and the way of intelligent manufacturing upgrading.
As a leader in China's intelligent automation industry, i-Search was invited to attend the conference. Li Bo, general manager of the solutions department, delivered a keynote speech to share the "opportunities and challenges of business process automation in manufacturing industry -- the practice path of agent automation", providing a landing intelligent solution for the digital transformation of manufacturing enterprises.
Industrial AI deep water breakthrough
How to move from "perceptual intelligence" to "executive intelligence"?
In his speech, Li Bo pointed out that generative AI has entered the "trough period of bubble burst", and enterprises are returning to value rationality from the technology boom. At the same time, AI agent (agent) is positioned as a technological direction with potential for change. Its core value lies not in "dialogue", but in "execution" - it can truly understand the task, plan the steps and drive the business system to complete the closed-loop operation.
He stressed that the essential demand of the digital transformation of the manufacturing industry is to build "digital employees who can complete tasks independently". Although traditional automation can replace repetitive operations, it relies on fixed rules and manual arrangement; And agent automation (agent Automation) promotes the evolution of enterprise automation from "process script" to "goal driven" by giving the system the ability of "thinking decision execution" integration.
Agentic Automation
How to become the "operation center" of intelligent upgrading of manufacturing industry?
Li Bo defined agent automation as "the intersection of intelligent capability and enterprise execution system". Instead of replacing the existing RPA and AI technologies, it integrates them into a layered and scalable technology architecture:
Bottom layer: RPA and automation engine constitute "execution hands and feet", responsible for operating system and processing data;
Middle layer: the agent acts as the "decision-making brain" for task understanding, planning and abnormal judgment;
Upper layer: combine with industry knowledge to form reusable scenario solutions, such as intelligent finance, supply chain collaboration, quality inspection, etc.
Under this architecture, the system can actively adapt to changes in the interface, automatically select the execution path, and realize the fundamental transformation from "human driven system" to "goal driven process".
Behind 35% permeability
What high-value scenarios does agent automation adapt to manufacturing?
At present, the manufacturing industry has become the industry with the second highest penetration rate of agent automation applications (up to 35%), and typical scenarios cover:
Order and logistics management: automatically query the shipping date and track the order status, saving tens of thousands of yuan of data service cost every year;
Collaboration between finance and supply chain: complete reconciliation, payment and invoice verification across systems, and realize the whole process unattended;
Document processing: automatically identify multilingual trade documents and improve the efficiency of document review and preparation;
Production and quality assistance: automatically distribute tasks based on email semantics, and support exception detection and real-time warning.
Li Bo shared the practice of a manufacturing enterprise through the deployment of "capital and online banking automation" robots: it automatically processes 100+accounts and 32 u-shield entities every day, executes nearly 20000 processes every month, and realizes minute and second level risk monitoring under zero manual intervention, which effectively reflects the value of agent automation in improving operational toughness and reducing labor costs.
Agent automation
How to promote the manufacturing industry to truly move towards "human-computer cooperation"?
With the deep integration of industrial AI and business scenarios, enterprises need not only "smarter" models, but also "more capable" systems. By combining the cognitive ability of large models with the implementation ability of automation, agent automation is promoting the manufacturing industry from local efficiency improvement to full process, adaptive and sustainable intelligent operation.
The success of this summit has built an important platform for technology exchange and resource docking for the industry. I-Search's sharing not only shows the technical accumulation and practical strength in the field of intelligent automation, but also provides a clear path for manufacturing enterprises to break through the bottleneck of AI application and achieve high-quality development with the "landing and effective" solution. At the summit, i-Search's solution attracted many representatives of manufacturing enterprises to stop and exchange ideas.
In the future, i-Search will continue to work with the industry to promote the intelligent automation technology from "pilot innovation" to "scale empowerment", and inject deterministic force into the high-quality development of China's manufacturing industry.
In the future, i-Search will continue to work with the industry to promote the intelligent automation technology from "pilot innovation" to "scale empowerment", and inject deterministic force into the high-quality development of China's manufacturing industry.