Does AI translation really lead to cost reduction?
Recently, we have received feedback from many companies and production firms stating: "We implemented AI, but ultimately, most of it needed revisions." The issue lies not with the AI itself, but with the lack of a well-established quality control system.
Common risks observed in the translation production of integrated reports and technical documents include:
- Discrepancies in numbers between the main text and charts, inconsistencies between old versions and published materials
- Inconsistencies in terminology
- Layout issues during the DTP stage
- Variability in ESG indicators and KPI expressions
- Unnatural English expressions for investors
AI increases speed, but it cannot guarantee:
- Numerical consistency
- Contextual continuity
- Industry-standard expressions
We adopt a quality integration management model that combines AI and human expertise. This includes the development of glossaries and style guides, referencing existing translations, and repurposing content. We utilize AI for initial drafts, followed by reviews from specialized translators. Discrepancies in numbers are eliminated using tools, and our in-house developed system maximizes layout retention, significantly reducing DTP work. Finally, we conduct a thorough consistency check and proofreading.
AI is not a replacement; optimal utilization is crucial. If you are interested, we can provide a free preliminary assessment.

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