A fine-tuned LLM assistant embedded into an existing support workflow, cutting response time.
Support agents were drowning in repetitive questions. We embedded a retrieval-augmented assistant directly into their existing workflow — no new tool to learn.
Grounded, not guessing
Answers are grounded in the company's own docs via RAG, with a confidence threshold that hands off to a human when the model is unsure. Response times dropped without sacrificing trust.