Transfers Should Carry the Conversation. | SignalWire

Transfers Should Carry the Conversation.

Cold transfers lose everything. Callers repeat themselves. SignalWire transfers carry context, authentication state, and a machine-written summary with the call.

100% context preserved on transfer

< 1.2s typical AI response latency

2,000+ companies in production

$0.16 per minute, AI processing

The Transfer Problem

Every Transfer Is a Chance to Lose the Customer

Lost Authentication

The caller verified identity with the AI. After transfer, the receiving agent asks them to verify again.

Lost Conversation History

The caller explained the problem for three minutes, then the receiving agent starts from zero.

Lost Tool Results

Order, balance, and address lookups disappear before the human agent receives the call.

Lost Patience

Every repeated question increases the chance the caller hangs up.

Build a Voice AI Agent

Python

TypeScript

Go

Java

Ruby

PHP

Perl

C++

C#

from signalwire import AgentBase
from signalwire.core.function_result import FunctionResult

class SupportAgent(AgentBase):
    def __init__(self):
        super().__init__(name="Support Agent", route="/support")
        self.prompt_add_section("Instructions",
                              body="You are a customer support agent. "
                              "Greet the caller and resolve their issue.")
        self.add_language("English", "en-US", "rime.spore:mistv2")

@AgentBase.tool(name="check_order")
    def check_order(self, order_id: str):
        """Check the status of a customer order.\n        \n        Args:\n            order_id: The order ID to look up\n        """\n        return FunctionResult(f"Order {order_id}: shipped, ETA April 2nd")

agent = SupportAgent()
agent.run()

Cold Transfer vs. Platform-Native Transfer

Cold Transfer (Industry Default)

Separate telephony, STT, TTS, and LLM providers, each with its own SDK Your glue code manages state across all four services Each vendor adds a separate queue, invoice, and escalation path Compliance and observability must be rebuilt across every vendor 16 to 23 months before a production call

SignalWire Warm Transfer

Telephony, STT, TTS, and LLM in one platform AI runs inside the media stack, not outside it 800–1200ms typical response latency One vendor, one invoice, one escalation path Production calls in four to six weeks State management is platform-native

Transfer Patterns

Transfer Patterns

AI to Human

A human receives identity, authentication state, issue summary, and actions already taken.

AI to AI

Specialist agents inherit the same conversation and protected state without restarting.

AI-Briefed Handoff

The platform generates a concise machine-written briefing before the receiving agent answers.

Secure Context Passing

Protected fields remain in the hidden data layer and are available to backend tools without entering the model prompt.

Sigmond Runs on SignalWire

A voice and video AI agent built on the SignalWire SDK, wired to a live knowledge base, able to see what you show him. Build the same thing on voice, phone, WhatsApp, or SIP, or an entire white-label platform with SignalWire as the network underneath.

Stop Losing Context on Every Transfer

Build warm transfers where every handoff carries the full conversation.