Use case
The same questions, answered correctly, every time.
You upload your own documents — price list, returns policy, opening hours, procedures — and the agent answers from them. Answers are grounded in your material, not in general knowledge.
You upload your own documents — price list, returns policy, opening hours, procedures — and the agent answers from them. Answers are grounded in your material, not in general knowledge.
Opening hours, prices, availability, where you are, what paperwork is needed. These get answered dozens of times a day by expensive human time, and not always the same way — every employee remembers it slightly differently. The result is wasted time and inconsistent information.
PDF, Word, plain text — price lists, policies, manuals.
The agent retrieves the relevant passage (RAG) before answering.
If the information is missing, it says so and hands off instead of inventing.
The answer comes from your documents via RAG, not from the model’s "memory".
It prefers a handoff to a guess — critical for prices and policies.
Update the document once and it applies on every call.
Book a demo and ask it about your own material.
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