One WhatsApp number, a whole team of AI agents.
Runs on the official WhatsApp Business API
Give every agent its own name, model, and job
Set up as many AI agents as your plan allows, each with its own AI provider and model (OpenAI, Claude, Gemini, and others), its own persona, and its own tools — a sales agent, a support agent, a front-desk router, whatever your business needs.
- Independent provider/model per agent — mix OpenAI, Claude, and Gemini in the same account
- Custom persona and tone per agent, not one generic bot voice
- Per-agent tool access — only give an agent the actions it actually needs
Sara — Sales
GPT-4o · friendly sales
Omar — Support
Claude 3.5 · precise support
Layan — Front Desk
Gemini 1.5 · initial routing
Answers pulled from your own documents, not guesses
Upload PDFs or plain text and RABTCRM indexes them with pgvector so agents answer from your real policies and product info. Search is language-agnostic — a customer can ask in Arabic and still get an accurate answer from English-language source documents.
- PDF and text upload, indexed automatically
- Per-agent knowledge base — different agents can draw from different document sets
- Language-agnostic query matching across your uploaded content
14 days from delivery date, with original proof of purchase.
Agents pass conversations to each other — and to your team
A front-desk agent can route a technical question straight to your support agent, carrying full conversation context with it. Any agent can also hand a chat to a human teammate at any point — it lands in the shared team inbox like any other conversation.
- Automatic handoff rules between named agents
- Full context carried across the handoff, nothing repeated
- Escalate to a human agent at any time, from any AI agent
Provider / Model
OpenAI · GPT-4o
Persona
Friendly, concise, uses emoji
Enabled tools
What's included
Everything a multi-agent WhatsApp chatbot needs
Built on the shipped Multi-AI-Agent system and RAG knowledge base — not a roadmap item.
Questions
AI Chatbot & Agents FAQ
QHow many AI agents can I create?
This depends on your plan — each plan sets an agent limit. Every agent gets its own name, persona, and AI provider (OpenAI, Claude, Gemini, and others).
QHow does handoff between agents work?
Any agent can hand a conversation to another agent mid-chat — for example, a front-desk agent routing a technical question to your support agent — carrying the full conversation context with it.
QWhere does the chatbot get its answers from?
From your own RAG knowledge base: upload PDFs or text files, and the agent does a vector search (pgvector) over them to answer from your actual content instead of guessing.
QDoes it work in a different language than the uploaded documents?
Yes — knowledge base search is language-agnostic. A customer can ask in Arabic and still get an accurate answer even if the source documents were uploaded in English.
QDoes AI replace my support team entirely?
No — any agent can hand the conversation to a human teammate at any point, and it shows up in the shared team inbox like any other chat.