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An enterprise AI chatbot is a custom assistant that answers questions using a company's own documents and policies. It uses retrieval-augmented generation (RAG), which means it looks up the relevant passages before it replies, lowering the risk of made-up answers. It can handle common support questions and qualify inbound leads, and it passes anything uncertain to a person.
Visitors leave your site because simple product questions take hours to answer.
Support staff get worn out answering the same questions again and again.
Sales are lost when each rep explains the product differently.
AI assistants trained on your handbooks, policies and pricing.
Chats that use context to answer detailed product questions and clear up confusion.
Lead capture built into the chat so visitors can leave their email.
Discovery first — we learn how you actually work before we build.
We collect your documents, catalogs and past support logs.
We tune the model's settings and add filters to keep its tone safe.
We design a clean, mobile-friendly chat window in your brand style.
We add the chat widget to your site and set up alerts for your sales reps.
Example solution patterns showing the kind of system we build for this problem — not named client case studies.
Trained on a product's technical API docs so it can answer common developer questions directly, and hand the rest to an engineer.
A web chatbot that answers common insurance questions and books appointment slots into the real calendar, instead of leaving them for the front desk.
It can, so we limit it. The bot answers from your documents using retrieval (RAG). If a question is outside them, it politely declines.
Yes. Conversations are logged in your dashboard so you can review questions and improve the bot's knowledge.
You can edit the knowledge base directly or link it to a Google Doc that syncs changes.
Tell us what's slow, manual or scattered in your business. We'll study how it runs and show you a working prototype before you commit.
Tell us about your business