Mabuchi Motor
exaBase generative AI for domestic office work
Mabuchi Motor reported more than 9,500 hours saved in its first 3 months of company-wide generative AI use
Problem
Mabuchi Motor wanted to reduce time spent on indirect work, including translation and document preparation. It needed a service that would not use submitted prompts for model training.
Approach
Mabuchi introduced exaBase generative AI across its domestic operations in October 2024. Nippon Steel Solutions supported deployment and user education. Employees used it for translation and survey aggregation, as well as VBA generation and document editing.
Results
Takeaway
The reported saving represented about 2.5% of participating users' working hours, a narrower measure than a company-wide productivity gain.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
The joint release described domestic deployment beginning in October 2024. It reported more than 9,500 hours saved over 3 months, about 2.5% of participating users' approximately 384,000 working hours.
Full details are in the original sources.