South KoreaManufacturing2026 – ongoingHyundai Steel
LLM analysis and report drafting for overseas employee-relations surveys
Hyundai Steel restored analysis of employees' written survey responses across 10 languages using an LLM
Problem
HR staff manually collected and analyzed overseas employee-relations surveys. Translation and contextual interpretation required so much work that open-ended responses were excluded from analysis.
Approach
Hyundai Steel used an LLM to interpret written responses across 10 languages without a separate translation step. It used AI to draft reports, allowing qualitative responses to be considered alongside numerical scores. The responsible employee manually checked interpretations during the initial use.
Results
No published figures
Takeaway
The change brought previously excluded employee comments back into the assessment. Hyundai Steel did not publish an accuracy test or measured time saving.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Human resources
- Innovation type
- Process innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
Hyundai Steel described HR's use of an LLM to interpret multilingual employee comments and draft reports. It said the workflow recovered qualitative analysis previously omitted because of translation workload and described manual checking of the initial interpretations.
Full details are in the original sources.
