New Standard in 'Business System Development' Utilizing AI: Achieving App Development Tailored to Your Business Processes with Both Speed and Quality
Rubina Software Group has validated the effectiveness of its unique AI-driven development process by internally developing and operating HR management and CRM applications as business foundations. This approach integrates generative AI into the entire development process to build high-quality business systems in a short period.
📋 Article Processing Timeline
- 📰 Published: May 8, 2026 at 21:00
- 🔍 Collected: May 8, 2026 at 12:32
- 🤖 AI Analyzed: May 8, 2026 at 12:44 (12 min after Collected)
Rubina Software Group is pleased to announce that it has validated the effectiveness of its unique AI-driven development process by internally developing and operating HR management and CRM applications as business foundations.
This initiative involves integrating generative AI directly into the development process itself, enabling the construction of business systems in a short period with high quality. A key characteristic is that it goes beyond mere demonstrations or verification levels, implementing and continuously operating these business systems in actual working environments.
This announcement is particularly relevant to DX promotion departments in mid-sized companies considering in-house development or renovation of their business systems, as well as product development companies that wish to incorporate AI functions into their own products.
**Background: Why is AI's 'Implementation Capability' Being Questioned Now?**
Just a few years after the advent of generative AI, AI has evolved from being a 'hot topic technology' to a 'business weapon,' leading to dramatic improvements in development speed and redesign of business processes worldwide.
However, in Japanese companies, AI utilization often fails to reach practical application in production environments.
According to a survey by Yano Research Institute, while approximately 43.4% of domestic companies utilize generative AI as of 2025, many still remain at the consideration level. (*)
Behind this, there are practical challenges such as:
- Concerns about quality and security in production environments
- Difficulty in assessing vendor execution capabilities
- Difficulty in in-house development due to AI talent shortage
- Trade-off between speed and risk
Thus, many companies face challenges in moving beyond the 'consideration' and 'verification' stages to 'implementation.'
**Rubina Software's Approach**
Rubina Software's endeavor is not merely using AI as a supplementary tool in development. In the requirements definition phase, human experts organize and define the challenges faced by companies. From basic design, detailed design, architecture design, and UI design, all the way to coding, testing, and CI/CD, an AI-integrated development methodology is adopted throughout the entire development process. This approach achieves both development efficiency and quality improvement, enabling the creation of applications that more deeply fit a company's business processes.
AI primarily supports implementation and verification areas such as coding, testing, and document creation, contributing to the concretization of design content and improvement in the accuracy of the realization process. This allows humans to shift to a structure where they can focus on upstream processes such as customer interaction, in-depth problem analysis, and construction of design solutions. Furthermore, they can concentrate on overall quality management, taking on the role of ensuring the consistency and quality of the entire system from a macroscopic perspective.
This clarifies the division of roles between humans and AI in development: AI handles execution and support, while humans concentrate on essential decision-making such as requirements definition and design.
Historically, business systems have placed emphasis on 'standardization through packages.' While there is some rationality in an approach that aims for overall optimization by adopting standard business processes, there has also been a challenge where the unique characteristics that are sources of corporate culture and competitiveness are not sufficiently reflected.
Rubina Software's new development core, utilizing AI, shifts the focus of development from 'implementation' to 'business understanding' and further to 'system development that enhances corporate competitiveness.' With AI handling implementation and verification, humans can concentrate on requirements definition that reflects unmanualized on-site knowledge, such as business workflows and decision-making processes. This allows for the realization of ideal system construction that adapts to a company's unique business processes, rather than conforming business to package standards, at realistic costs and speed.
Furthermore, our company utilizes AI not only as a means of improving implementation efficiency but also as a partner to verify the validity of current business processes and collaboratively design optimal business models. We aim to optimize business processes themselves through dialogue with AI, rather than simply systemizing current operations, and then build systems based on that. This is what we consider AI-driven development.
**Implementation Achievements**
**HR Management Application**
An integrated HR management application, covering attendance management, performance evaluation, and recruitment management functions, was built in a short period by utilizing AI throughout the development process. It was not concluded at the pilot experiment stage but was migrated to the production environment and is currently in continuous operation. This has achieved a reduction in development man-hours and ensured quality after release (*according to our company's estimates).
AI-built HR application screen
In design, UI/UX was designed based on original design principles, incorporating internal business process hearings, for various countries.
This initiative involves integrating generative AI directly into the development process itself, enabling the construction of business systems in a short period with high quality. A key characteristic is that it goes beyond mere demonstrations or verification levels, implementing and continuously operating these business systems in actual working environments.
This announcement is particularly relevant to DX promotion departments in mid-sized companies considering in-house development or renovation of their business systems, as well as product development companies that wish to incorporate AI functions into their own products.
**Background: Why is AI's 'Implementation Capability' Being Questioned Now?**
Just a few years after the advent of generative AI, AI has evolved from being a 'hot topic technology' to a 'business weapon,' leading to dramatic improvements in development speed and redesign of business processes worldwide.
However, in Japanese companies, AI utilization often fails to reach practical application in production environments.
According to a survey by Yano Research Institute, while approximately 43.4% of domestic companies utilize generative AI as of 2025, many still remain at the consideration level. (*)
Behind this, there are practical challenges such as:
- Concerns about quality and security in production environments
- Difficulty in assessing vendor execution capabilities
- Difficulty in in-house development due to AI talent shortage
- Trade-off between speed and risk
Thus, many companies face challenges in moving beyond the 'consideration' and 'verification' stages to 'implementation.'
**Rubina Software's Approach**
Rubina Software's endeavor is not merely using AI as a supplementary tool in development. In the requirements definition phase, human experts organize and define the challenges faced by companies. From basic design, detailed design, architecture design, and UI design, all the way to coding, testing, and CI/CD, an AI-integrated development methodology is adopted throughout the entire development process. This approach achieves both development efficiency and quality improvement, enabling the creation of applications that more deeply fit a company's business processes.
AI primarily supports implementation and verification areas such as coding, testing, and document creation, contributing to the concretization of design content and improvement in the accuracy of the realization process. This allows humans to shift to a structure where they can focus on upstream processes such as customer interaction, in-depth problem analysis, and construction of design solutions. Furthermore, they can concentrate on overall quality management, taking on the role of ensuring the consistency and quality of the entire system from a macroscopic perspective.
This clarifies the division of roles between humans and AI in development: AI handles execution and support, while humans concentrate on essential decision-making such as requirements definition and design.
Historically, business systems have placed emphasis on 'standardization through packages.' While there is some rationality in an approach that aims for overall optimization by adopting standard business processes, there has also been a challenge where the unique characteristics that are sources of corporate culture and competitiveness are not sufficiently reflected.
Rubina Software's new development core, utilizing AI, shifts the focus of development from 'implementation' to 'business understanding' and further to 'system development that enhances corporate competitiveness.' With AI handling implementation and verification, humans can concentrate on requirements definition that reflects unmanualized on-site knowledge, such as business workflows and decision-making processes. This allows for the realization of ideal system construction that adapts to a company's unique business processes, rather than conforming business to package standards, at realistic costs and speed.
Furthermore, our company utilizes AI not only as a means of improving implementation efficiency but also as a partner to verify the validity of current business processes and collaboratively design optimal business models. We aim to optimize business processes themselves through dialogue with AI, rather than simply systemizing current operations, and then build systems based on that. This is what we consider AI-driven development.
**Implementation Achievements**
**HR Management Application**
An integrated HR management application, covering attendance management, performance evaluation, and recruitment management functions, was built in a short period by utilizing AI throughout the development process. It was not concluded at the pilot experiment stage but was migrated to the production environment and is currently in continuous operation. This has achieved a reduction in development man-hours and ensured quality after release (*according to our company's estimates).
AI-built HR application screen
In design, UI/UX was designed based on original design principles, incorporating internal business process hearings, for various countries.