パンハウス List of Products and Services

We would like to introduce a case where EXIDEA Co., Ltd. implemented "Generative AI Training" to foster a culture of AI utilization across departments. The company was promoting AI utilization company-wide, but there were differences in understanding of AI among departments, and many voices expressed that they "didn't know how to apply it to their work." Through practical hands-on training, the barriers to AI utilization were significantly lowered. The time spent on contract checks was reduced by approximately 80-85%, and there have been numerous results in various fields, such as the automation of SFA tasks. [Case Overview] ■ Challenge: There were differences in understanding of AI among departments, and practical application was not progressing. ■ Key Factor for Implementation: It was a hands-on format that involved not just knowledge input but also actual hands-on practice. ■ Effects After Implementation: The initial check process for contracts was shortened from 1-2 hours to about 15 minutes. *For more details, please refer to the related links or feel free to contact us.

• Employee training

We would like to introduce a case where NTT Data Corporation implemented "Generative AI Training" to improve productivity in their daily operations. While the company had made progress in utilizing AI for development tasks, the use of AI in non-development tasks such as consulting and document preparation was a challenge. There was a need to systematically learn how to write prompts to effectively use AI in practical work. As a result of acquiring prompt design skills through the training, the time spent on information gathering was reduced by about half. They also became able to utilize AI for brainstorming and planning, significantly expanding the scope of their work. [Case Overview] ■ Challenge: Exploring the use of generative AI in non-system development tasks ■ Learning from Training: The quality of AI responses can greatly change by creatively designing prompts ■ Effects After Implementation: Reduced information gathering time by about half and expanded the range of themes that can be proposed *For more details, please refer to the related links or feel free to contact us.

• Employee training

We would like to introduce a case where Artience Co., Ltd. implemented our "Generative AI Training." While the company has a high interest in generative AI, the penetration of its use has been a challenge due to concerns about security. Under the plan to create "Generative AI Natives 500," they were seeking training that would enhance employee skills. As a result of flexibly adjusting the training content based on feedback from participants, the satisfaction rate improved to 4.6/5. On the final day, numerous prompts tailored to each participant's work, such as assistance with creating approval documents, accounting processes, and patent creation, were presented. [Case Overview] ■ Challenge: Training content that enables employees to widely utilize generative AI in their work and create value. ■ Deciding Factors for Implementation: The reliability stemming from the Matsuo Laboratory at the University of Tokyo and the interactive, intensive training content. *For more details, please refer to the related links or feel free to contact us.

• Employee training

We would like to introduce a case where Wills Co., Ltd. implemented our "Generative AI Training," resulting in improvements in both operational efficiency and quality. The company had many labor-intensive tasks, such as producing booklets spanning approximately 100 pages entirely by hand, making operational efficiency a significant challenge. In particular, for tasks with tight deadlines, overtime and excessive labor were also concerns. By utilizing the insights gained from the training, they streamlined the creation of meeting minutes and reports. The time spent on these tasks was reduced to less than half, achieving cost savings and quality improvements. [Case Overview] ■ Challenge: The production tasks in the communication area were labor-intensive, and improving operational efficiency was a challenge. ■ Deciding Factor for Implementation: The ability to design content directly related to on-site operations together. ■ Effects After Implementation: The time spent on document creation was reduced to less than half, and the use of the training expanded across various tasks, including brainstorming ideas for projects. *For more details, please refer to the related links or feel free to contact us.

• Employee training

We would like to introduce a case study of our "Generative AI Training" conducted for Knowledge Lean Co., Ltd. The company was proactive in improving operational efficiency through IT tools but felt they were lagging in their AI initiatives. At the time when generative AI began to gain attention, the government's support programs also encouraged them to make a decision. After the training, the time required to organize key points in English documents was significantly reduced. Within the company, resistance to generative AI diminished, and a culture of regular utilization was fostered, resulting in significant achievements. [Case Overview] ■ Challenge: They were lagging in their AI initiatives and had no clear image of how to utilize it. ■ Deciding Factor for Implementation: The practical content that was directly linked to their operations. ■ Effects After Implementation: The time for translating and organizing key points in English documents was reduced from one week to one day. *For more details, please refer to the related links or feel free to contact us.

• Employee training

This service is a "real" AI talent development training program realized by a startup from the University of Tokyo's Matsuo Laboratory. It offers a balanced learning of theory and practice, providing content that directly addresses corporate challenges. This reliable training aims to acquire skills to make the most of AI technology. Regarding the practical application of AI in business, we provide concrete and practical guidance to support immediate application in real work. 【Features】 ■ AI training built on the research capabilities of the University of Tokyo's Matsuo Laboratory ■ Real-time interactive training ■ Lecture design based on real examples and practical orientation *For more details, please refer to the related links or feel free to contact us.

• Employee training