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Your Telephony Roadmap, Already Built | SignalWire
Ship Telephony Features Today

Your Telephony Roadmap, Already Built

Your AI handles conversations. Your backlog is full of telephony features: transfers, recording, hold music, compliance. Each one is a sprint you should not run.

2,000+
companies in production
2.7B
minutes and messages processed
< 1.2s
typical AI response latency
The Telephony Sprint Problem

Every Feature Below Is a Native Platform Method

Call transfers eat weeks, not days

Blind transfers, attended transfers with context, queue routing, and external PSTN handoffs. Each requires SIP re-INVITE expertise you should not need to hire for.

Recording requires more than saving audio

Consent management, encrypted storage, retention policies, role-based access, and audit trails. Compliance infrastructure is not a weekend project.

Conferencing multiplies complexity

Multi-party bridging demands RTP multiplexing, SDP negotiation, and media mixing at scale. Four to eight weeks of telephony engineering for a feature your customers expect on day one.

IVR and DTMF are older than your codebase

Tone detection, in-band vs. RFC 2833 handling, and dialplan routing require domain expertise that has nothing to do with AI.

Build a Voice AI Agent

from signalwire_agents import AgentBase
from signalwire_agents.core.function_result import SwaigFunctionResult

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.

        Args:
            order_id: The order ID to look up
        """
        return SwaigFunctionResult(f"Order {order_id}: shipped, ETA April 2nd")

agent = SupportAgent()
agent.run()

Build It vs. Use It

Build It Yourself

  • 4 to 9 months of telephony engineering
  • SIP, RTP, and SRTP domain expertise required
  • Ongoing maintenance for carrier quirks
  • Separate compliance implementation per feature
  • Every capability is a new sprint

Ship on SignalWire

  • One YAML file and one phone number
  • Every feature is a native platform method
  • AI triggers telephony through tool calling
  • Compliance built into the infrastructure layer
  • Ship production features this afternoon

DIY Build Cost for Each Feature

FeatureEngineering EffortOngoing Maintenance
Call transfers2 to 4 weeksSIP edge cases, carrier quirks
Call recording3 to 6 weeksStorage, encryption, retention policies
Hold music1 to 2 weeksAudio format compatibility
Conference bridging4 to 8 weeksScaling, media mixing
IVR routing2 to 4 weeksMenu maintenance, routing logic
Voicemail2 to 3 weeksStorage, transcription integration
DTMF handling1 to 2 weeksIn-band vs. RFC 2833 detection
Compliance logging4 to 8 weeksRegulatory changes, audit prep

Call transfers. Call recording. Hold music. Conference bridging. IVR routing. Voicemail. You are going to build all of this eventually. Or you could connect to a platform that shipped it 20 years ago.

How a Tool Call Becomes a Telephony Action

1

AI decides

The caller needs billing. The LLM chooses to call the transfer function.

2

Tool call fires

transfer_call(department="billing", reason="disputed charge on March invoice") executes on SignalWire.

3

Platform executes

SIP re-INVITE with context, hold music during the transfer, warm handoff to the receiving agent.

4

Caller connected

The billing agent receives full conversation context. No SIP code written by your team.

SignalWire was founded by the engineers who wrote FreeSWITCH, the open-source telecom engine used by carriers and contact centers for 20 years. Every platform method is backed by that heritage.

FAQ

Do I need to rewrite my AI agent to use these features?

No. Your AI logic stays where it is. Telephony features are exposed as tool calls that your LLM can invoke. The pattern is the same one your agent already uses.

What happens if a transfer fails?

The platform handles SIP-level failover and retry logic. Your agent receives a status callback so it can inform the caller or attempt an alternative route.

How does compliance recording work?

Recording starts when your agent calls the record function, which can include consent tracking. Recordings are encrypted, stored with configurable retention policies, and accessible through audit-ready APIs.

What does it cost?

Voice AI processing starts at $0.16 per minute. Phone numbers and SIP trunking are at carrier rates. No per-feature surcharges for transfers, recording, or conferencing.

Trusted by 2,000+ companies

Stop Building Telephony. Start Shipping Features.

Every feature on your roadmap is a native platform method. One YAML file, one phone number, and your AI handles the rest.