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\u27s 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
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