The Challenge of a Social Insurance and Labor Consultant Office: Improving Business Efficiency with the Introduction of Generative AI
Social Insurance and Labor Consultant Corporation Process Core

Issues before implementation
- There was little understanding of how to specifically use generative AI or its effects, and many employees were unable to use it effectively even after it was introduced.
- Creating standard phrases and responding to chat messages was done manually, which resulted in poor work efficiency.
- The company was manually revising work rules and creating contracts, and there was a need to improve efficiency.
Effects after implementation
- Through regular training, employees are taught everything from the basics to the applications of AI tools. A support system using chatbots has also been put in place, improving employee understanding and usage rates.
- Generative AI has automated standard phrases and chat responses, significantly improving response speed.
- We are currently working on using AI to streamline the revision of work regulations and contracts, and are working on improvements to reduce the time required for this process.
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Company Introduction
We provide a wide range of services to small and medium-sized enterprises, including payroll calculation and labor and social insurance outsourcing, as well as middle management training and recruitment support. We aim to revitalize the organizations of many companies, support productivity improvement, and streamline back office operations.
A sense of challenge
Much of the work was focused on routine tasks such as creating documents and changing regulations, leaving experts with limited time to devote to their core duties.
In particular, tasks such as applying for subsidies and revising work rules took an enormous amount of time and placed a heavy burden on employees.
In addition, although the company had been making progress in introducing generative AI, specific methods for using it had not yet been fully disseminated within the company, resulting in a skills gap between employees who could use AI effectively and those who could not.
This resulted in increased costs and prevented the company from realizing the full benefits of introducing AI.
Benefits of using generative AI
With the introduction of generative AI, the time it takes to create columns to provide to customers has been reduced by about a quarter, and the time it takes to answer labor-related questions from customers, which was previously only focused on me as the company president, has also been reduced by using generative AI.
In addition, the automatic creation of standard phrases and emails reduces the burden of work that employees previously performed manually.
In addition, by conducting regular AI training so that all employees have acquired the skills to efficiently use generative AI, the company has succeeded in standardizing operations and reducing costs.
Future outlook
In the future, we plan to further expand the scope of use of generative AI and continue to automate repetitive tasks and data processing.
In particular, we aim to automate as much back-office work as possible, and plan to concentrate our in-house human resources on tasks that can only be performed by humans.
In addition, the company has introduced AI-based career support services and chatbots to improve the quality of customer service and reduce the workload of employees.
Through this, we aim to foster a company-wide culture in which using generative AI is the norm, thereby simultaneously achieving greater efficiency and quality.