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JapanManufacturing2024 – ongoing

Hitachi

AI agents for railway quality-assurance knowledge retrieval

Hitachi reported about 90% less information-search time in a railway quality-assurance pilot

WorkingCompany's own claimOfficial ↗

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

~90%reduction in time searching for information needed to answer inquiries in the railway quality-assurance pilot, per HitachiCompany's own claim[1]

Takeaway

The reported reduction concerned information retrieval within a pilot. Expansion across Omika Works remained a subsequent rollout goal.

Categories

Innovation type
Process innovation
Evidence
Company's own claim

Sources

Source summaries

[1]Hitachi26 Jun 2025

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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