Your business already runs on a CRM, an ERP, a helpdesk, or a homegrown platform. Qefro is designed to plug into that stack — not replace it. This guide compares the two supported integration paths for Business Tools — REST / OpenAPI and the official JavaScript and Rust Backend SDKs — with working code for both so you can pick the right one for your team.
An AI chatbot is usually a conversational UI over one knowledge dump. An AI Workspace is an operating unit — knowledge, instructions, tools, conversations, and channel bindings — built for multi-team, multi-tenant use.
An AI Workspace is the primary isolation unit inside a Qefro organization: knowledge, instructions, Business Tools, and conversations stay scoped to that workspace.
Customer AI and Employee AI share Qefro’s workspace technology — but they differ in audience, channels, identity, and what knowledge is safe to expose.
Hybrid RAG combines lexical (keyword-oriented) retrieval with vector (semantic) retrieval so assistants can find both exact identifiers and paraphrased questions — then ground answers with citations.
Qefro Docs at docs.qefro.com is the canonical technical documentation for the Qefro AI Workspace Platform.
Business Actions let Customer AI and Employee AI call your REST APIs during a conversation. Treat every action like production API traffic — not like a demo plugin.
Ship Customer AI on the website first, validate retrieval quality, then add WhatsApp on Growth+ — preferably bound to the same Support workspace so answers stay consistent.