Abstract
Global enterprise operations can experience inefficiencies and service delays from language-siloed support queues, while generic machine translation tools may lack the context to handle enterprise-specific terminology. A system and method can facilitate multilingual communication by integrating a generative artificial intelligence model within enterprise workflow platforms, such as customer relationship management systems. The framework can programmatically retrieve a curated, enterprise-specific glossary and inject it into a translation prompt sent to the model. This technique grounds the model, instructing it to prioritize an organization's specific lexicon for a given translation. The approach can produce translations that are both linguistically fluent and terminologically consistent, which may help to create more unified service models and reduce reliance on language-specific support agents.
Publication Date
2026-01-07
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kayande, Tanmay; Raithatha, Deep; Dambhare, Akash; Agrawal, Pooja; and P, Mohith, "Glossary-Augmented Generative AI for Enterprise Translation", Technical Disclosure Commons, (January 07, 2026)
https://www.tdcommons.org/dpubs_series/9141