One brain. Every channel. Real actions.
A complete AI customer support system. A single LLM brain reasons, sub-agents listen and speak, and tool calling lets it actually do the work — not just answer politely.
In plain language, here's the thing.
A brain, not a chatbot
One intelligent LLM core holds the reasoning. It understands the customer's intent, your policies and your product — and decides what should happen next rather than pattern-matching a canned reply.
Ears and voice as sub-agents
Chat and voice run as specialised sub-agents on top of that core. The chatbot answers on your website, WhatsApp and email; the voice agent picks up the phone. Both think with the same brain.
Shared context over agent-to-agent
When a customer chats today and calls tomorrow, the agents pass the full history to each other over an A2A protocol. Nobody repeats their order number, ever.
Hands that take action
Tool calling connects the brain to your systems. It reads the order, issues the refund, updates the CRM record, books the slot — inside the workflow, with an audit trail on every action.
Request in. Work done out.
Request arrives on any channel
WhatsApp, email, web chat, in-app or a phone call — all funnel into the same intake.
The brain reasons
Intent, customer history, policy and entitlement are resolved in one pass against your knowledge and data.
Tools do the work
It queries your OMS, CRM or ticketing system and performs the action the customer actually needed.
Reply, or escalate cleanly
The customer gets a resolution in their channel. Anything out of policy hands to a human with full context attached.
Order and delivery support
Reads live order status in your OMS and replies with tracking, ETA or a reshipment — no agent touch.
Billing and refunds
Checks entitlement against policy, issues the refund within limits, and routes the exceptions to a human.
Inbound phone support
The voice agent answers, verifies the caller, resolves the request, and logs the whole call as a structured ticket.