en.Wedoany.com Reported - Jiuke Information has launched bit-Agent, a GUI Agent (Graphical User Interface Agent) product that allows enterprise business users to directly build automation workflows using natural language, without the need to write code. As the first GUI Agent to achieve commercial deployment in China, bit-Agent empowers business users with the ability to directly construct automation workflows for the first time.
In the digital transformation process of many enterprises, there are significant collaboration barriers between business departments and technical departments. Business personnel are familiar with business logic and scenarios but typically lack the ability to write technical code. While technical staff possess the skills to develop tools, they often struggle to fully understand business details. This disparity leads to increased communication costs, with many business optimization requirements getting lost in repeated discussions. Some processes that could have been automated are still performed manually, and data is difficult to consolidate centrally.
bit-Agent is designed to address this pain point. Business users do not need to master Python or understand API interfaces. By simply issuing commands in everyday language, the system automatically parses tasks, generates logic, and organizes tools in the background, ultimately completing the construction of automation workflows. This mechanism reduces the dependency of business innovation on technical scheduling, effectively granting business users the ability to "get what they envision."
In practical applications, HR professionals can use this agent to automatically screen resumes across multiple recruitment platforms and complete candidate information entry. Financial personnel can independently build processes for bank-enterprise reconciliation and invoice verification without waiting for IT department scheduling. Operations staff can generate cross-system data reports at any time, reducing repeated communication with technical teams. These cases demonstrate that when business users can directly solve problems, the overall efficiency of the organization improves.
From an industry perspective, this model significantly reduces the trial-and-error cost of business innovation. Optimization ideas can be verified instantly, effective processes can be quickly solidified and reused, and unsuccessful attempts can be promptly adjusted. At the same time, automation workflows can respond more flexibly to business changes, with tools truly serving business needs rather than requiring businesses to adapt to the tools. This product has already been deployed in multiple state-owned enterprises and large corporations.
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