Knowledge base

How the agent sells

Not neural-net theory — a first-line breakdown: how the agent learns your price list, answers on WhatsApp and Instagram, handles objections, and drops the deal into CRM. Below — the setup and niche scenarios.

How it is built

How the AI agent is built: train → connect → sell → you stay in controlFour steps of Senbi’s first line: knowledge, channels, selling in the dialog, and a deal in CRM. No prompts and no button tree.Breakdown and diagram
What the agent answers from: price list, playbooks, and off-limits topicsHow to load knowledge so the agent does not hallucinate: what it can promise, what only a human handles, how to tune behavior after live dialogs.Breakdown and diagram
One brain on WhatsApp, Instagram, and the siteHow the agent merges channels into one stream: one reply style, one pipeline, one context — without duplicates and “someone is already on this.”Breakdown and diagram
Pipeline and KPI: stages, tasks, and money you can seeHow the pipeline holds discipline without micromanagement, and how financial slices tie to deals. The agent fills the stages itself.Breakdown and diagram
Store: storefront, cart, site checkout, and statusesThe buyer path in Senbi Store: self-serve instead of agreeing every order in chat. Beside it, the agent closes people who write anyway.Breakdown and diagram

How the agent sells

How it is built

Niche scenarios

Compare approaches