Your best salespeople have a voice customers trust — the greeting, the mix of English and Chinese, the emoji, the way they close. WhatsTeam’s AI twin learns that voice from their real WhatsApp conversations and drafts the next reply the way they would write it. A person always reviews and sends.

No scripts to write and no bot flows to design. The twin is trained on what your team has already typed — thousands of real replies that won real orders.
Each connected WhatsApp number gets its own profile, so Amy’s twin writes like Amy and Ken’s twin writes like Ken — not a company average.
One click reads that number’s past chats and studies how the salesperson actually writes — with the conversations that closed deals weighted most heavily, so the twin learns the moves that win orders.
Upload an export of closed-deal conversations from a previous platform and train one company-wide Team profile. Any number without its own profile falls back to it automatically — useful from day one.
Training never overwrites anything. Admins see the full history of training runs, open and compare past versions, and pin the one the team should use.
In the inbox, one tap drafts the next reply in that salesperson’s voice. If a frequently sent file clearly answers the customer — a price list, a catalog — the draft can suggest attaching it.
The draft appears in the reply box, not in the customer’s chat. Your teammate edits it, or sends it as is, or ignores it. Nothing leaves without a human decision.

A generic chatbot answers like a manual. A twin answers like the person your customer has been talking to all along.
If your rep switches between English and Chinese mid-sentence, the draft does too — in the same conversation’s language, not a translation of it.
Training extracts the greetings, expressions and closing lines each person actually uses, taken verbatim from their own chats.
Message length, punctuation, emoji habits, how they follow up when a customer goes quiet — the details that make a reply feel like a person.
From deal-closed conversations the twin learns how each rep handles price pushback and asks for the order, and applies it when the moment fits.
The AI twin is an assistant for your team, not a replacement for it. These guardrails are built into how it works.
There is no auto-reply. A draft only becomes a message when a member of your team reviews it and presses send. You are always talking to your customer, with better first drafts.
The drafting rules forbid making up prices, discounts, stock levels or delivery dates that aren’t already in the conversation. When it can’t know, it drafts the way your rep would: “let me check and get back to you.”
Transcripts reach the model labelled only as the two sides of a chat, with no customer name or phone-number fields attached. Uploaded closed-deal exports go further: customer names and phone numbers are scrubbed out of the message text before any model call.
Only admins train profiles, review version history and pin the active version. If a training run isn’t an improvement, pin the previous version and carry on.
Honest by design: drafts are generated by third-party AI models through our AI routing provider. AI output can be wrong or incomplete, so a human must review every draft before sending — and your team stays responsible for every message actually sent. We don’t claim guaranteed accuracy, and neither should anyone.
Connect your numbers, run the first analysis, and watch drafts arrive in your team’s own voice — reviewed by your people, sent by your people.