Over the years, we have built quality and reliability through manual labor.
We have steadily built up a track record of achievements while sincerely dealing with the work site and honing our skills.However, today, with the declining birthrate, aging population, and labor shortage, skilled workers are retiring one after another, and the training of younger workers is not keeping pace with the situation.If conventional business processes are maintained, there is an increasing risk of declining efficiency and a regression in competitiveness.Therefore, we are actively working on business efficiency improvement and DX (Digital Transformation) to promote new value creation by integrating the power of people, technology, and "AI. Generative AI and AI are not merely efficient tools, but are becoming an important bridge to maximize human knowledge and experience and pass them on to the next generation.
We will continue to evolve together with "AI" and contribute to the realization of a sustainable and prosperous society.
Interactive chatbot that answers based on information on FAQ sites and databases, reducing labor costs of manned chat. It also reduces the risk of misinformation by not accepting answers other than those provided by existing information.
This initiative enables customers to schedule repair appointments for home appliances through an interactive AI system that automatically connects with backend systems—without the need for human operators.
It allows for full automation of the appointment process, from reception to confirmation, resulting in reduced labor costs and streamlined operations.
Operator conversations are automatically transcribed, summarized, and categorized, then stored in a database.
Relevant knowledge is automatically displayed during future interactions, supporting more efficient and informed responses.
Examples: ReviewGPT, DeepCode, Codacy
AI automatically checks pull requests and provides suggestions for bugs and styles. This reduces review time and contributes to leveling quality and preventing omissions.
Examples: Diffblue Cover, Testim
Automatic generation of unit tests and UI tests from existing code. This greatly reduces test creation time and contributes to improved coverage.
Examples: Amazon CodeWhisperer, Tabnine
Automatic generation of functions and code blocks from prompts (natural language instructions). This contributes to the creation of a starting point in the early stages of development and to the streamlining of routine tasks.
Examples: Snyk Code, Kite
Detects potential security vulnerabilities and bugs in code in real time. Early detection of defects contributes to reduction of correction costs.
Examples: GitHub Copilot
An AI development support tool that suggests optimal code in real time based on natural language and code context. It increases coding speed and accuracy, and helps developers improve productivity and focus.
Our company provides comprehensive support for AI utilization and DX initiatives in BPO and development environments—from consultation and planning to implementation and operation.
We warmly welcome inquiries even if you’re unsure where to start.
Please feel free to share your challenges and current situation with us first.
