Hitachi
AI agents for railway quality-assurance knowledge retrieval
Hitachi reported about 90% less information-search time in a railway quality-assurance pilot
Problem
Responding to equipment faults required staff to connect past incidents with manuals. Less experienced staff struggled to reproduce specialists' search methods and judgments.
Approach
Hitachi added AI agents to a quality-assurance support tool at its Omika Works. Engineers encoded experienced staff's search sequences and keywords, then refined the system during an October 2024 to March 2025 pilot. The railway pilot tested retrieval of information needed to answer customer inquiries.
Results
Takeaway
The reported reduction concerned information retrieval within a pilot. Expansion across Omika Works remained a subsequent rollout goal.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and qualityCustomer service
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Hitachi described a pilot that incorporated experienced staff's knowledge into AI-assisted quality-assurance work. It reported approximately 90% less information-search time in railway applications and planned wider deployment.
Full details are in the original sources.