Connect an AI agent trained on your own information to WhatsApp and Telegram; answer common questions automatically and hand off to a human in complex cases.
A trainable AI customer agent is different from a generic chatbot: it is fed with the information you upload (product catalog, FAQs, policies, your website) and gives only accurate answers specific to your business. This method is called RAG (retrieval-augmented generation).
The result: consistent answers grounded in your real knowledge base, instead of "made-up" responses. Repetitive questions close automatically, and your agents focus on higher-value work.
Upload text, URLs, FAQs or files. The agent responds based only on this information.
Pick one of three modes: suggest (a draft for the agent), semi-automatic (approve and send) or fully automatic (direct reply).
Choose which WhatsApp/Telegram lines the agent will answer. Licensed lines appear in the list.
Let the agent disable itself in ambiguous cases or when an agent replies manually; transfer the conversation to a human.
Track response rate, hand-off rate and AI package usage in the reports; keep updating the knowledge base.
You don't have to give the AI full authority all at once. Most businesses start with suggest mode: the agent prepares a draft reply, and a human approves and sends it. As trust builds, you move to semi-automatic and then fully automatic mode.
We also covered how to position AI in customer service in our article Customer Service with WhatsApp.
The agent is set up to answer only from the knowledge base you upload. When it is not sure, it hands the conversation off to a real agent.
The agent can respond in the language the customer writes in. No extra setup is needed for multilingual support.
AI usage is package-based; you only pay for what you use. Details on the pricing page.
When an agent replies to a conversation manually, the AI automatically disables itself in that conversation; the human stays in control.
Upload your knowledge base, choose a mode, connect to WhatsApp.
