Realtime voice AI

Voice AI agents that answer before the caller gives up.

Realtime voice agents engineered to a sub-500ms first-token budget, ASR to LLM to TTS, accounted for to the millisecond.

Book a call →Read the voice use-case guide →

A voice agent that pauses for two seconds is a voice agent people hang up on. Latency isn't a nice-to-have here; it is the product. Voice adds a channel premium on top of the build ranges in our AI chatbot cost guide.

What we build

Voice agents that earn the call.

Inbound voice agents

Handle support and FAQs, triage callers, and route to a human at exactly the right moment.

Outbound voice agents

Qualification and follow-up calls that sound like a person, not a phone tree.

IVR replacement

Swap press-1 menus for a real conversation that gets the caller where they need to go.

Delivery approach

Sub-500ms first-token is the survival threshold.

We budget the full path and measure each leg.

ASR streaming

Speech-to-text streams instead of batching, so the model starts thinking while the caller is still talking.

LLM first-token budget

Model choice, prompt length, and tool calls are all on the clock; we trim what doesn't pay for itself.

TTS streaming

Text-to-speech streams back as it generates, so the caller hears a reply forming, not silence.

Reliability and handoff

The call never dead-ends.

→Fallback paths when a model is slow or unavailable
→Clean human escalation that carries full conversation context
→Observability on every call: latency, resolution, and drop-off point
→CRM and helpdesk logging so teams know what happened

Technical stack

Telephony, model, and observability wired together.

We connect telephony providers like Twilio with streaming ASR, LLM orchestration, streamed TTS, CRM context, helpdesk logging, and latency dashboards.

Proof

Voice systems measured by latency and recovery.

The caller experience depends on response speed, fallback paths, and clean handoff when automation reaches its limit.

<500ms

first-token response budget for realtime voice

Latency target

latency legs budgeted: ASR, LLM, and TTS

Voice pipeline

dead-end calls when fallback and handoff paths are in place

Reliability goal

Related resources

Related field notes and proof.

Guide

Should you use a voice AI agent?

A 2026 use-case guide: when voice wins, when a chatbot is better, and when to skip it.

Guide

Should your business use a voice AI agent?

Where voice agents earn their keep, and where they are the wrong tool.

Service

Customer support automation

Where a voice agent plugs into the wider support function, deflection, triage, and handoff.

FAQ

Things teams ask us first.

Need a clearer answer? Ask directly. We reply within 24 hours.

What's the difference between a voice AI agent and an IVR?

An IVR traps callers in press-1 menus. A voice AI agent has a real conversation, understands what the caller wants in natural language, acts mid-call (look something up, book, route), and hands off to a human with full context when needed.

Does it actually sound human?

Yes, streaming text-to-speech and realistic voices, kept fast enough (sub-500ms first token) that it doesn't feel robotic or laggy. We disclose it's an AI where that's appropriate or required.

Can it transfer to a human?

Always. Clean escalation carries the full conversation context to the agent, and fallback paths kick in if a model is slow or unavailable, the call never dead-ends.

Inbound, outbound, or both?

Both. Inbound for support, triage, and IVR replacement; outbound for qualification and follow-up calls that sound like a person, not a phone tree.

How do you keep it fast enough to feel natural?

We budget the whole path, ASR (speech-to-text), the LLM's first token, and TTS (text-to-speech), to a sub-500ms target, streaming each leg so the caller hears a reply forming instead of silence.

Which phone systems and tools does it connect to?

Telephony providers like Twilio, plus your CRM and helpdesk for context and logging, and latency/observability dashboards on every call.

How much does a voice AI agent cost?

It depends on call volume, integrations, and run costs (telephony, ASR/LLM/TTS minutes, monitoring). Per-call AI costs are a fraction of a human-handled call; we scope your real number in a discovery call.

How long does it take to build?

Most go live in 2–6 weeks, including telephony integration, latency tuning, fallback and handoff paths, and monitoring.

Related services

Explore connected service pages.

AI agent development AI chatbot development RAG development Voice AI agents WhatsApp chatbots

Ready to build something that actually works?

One conversation. A precise roadmap, a realistic estimate, and a clear pass/no-pass on whether AI is the right fix.

Get a free consultation →contact@theprocoders.com