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Voice AIPhone AutomationLead Qualification

AI Voice Agent Development

Phone Calls That Handle Themselves

We build AI voice agents that answer calls, qualify leads, book appointments, and resolve support tickets — and they sound human the entire time.

<600ms
Response Latency
Real-time conversation
24/7
Call Coverage
No missed leads
85%+
Resolution Rate
Without human handoff
$0
Missed Calls
Every ring answered
What Is an AI Voice Agent?

Here's what an AI voice agent actually is: it's an autonomous system that handles live phone conversations using speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS). It listens, understands intent, holds conversational context, and takes real actions — booking appointments, updating CRMs, qualifying leads, routing calls — without scripts or a human in the loop. Your old IVR menu can't do any of that. Voice agents hold natural, back-and-forth conversations that adapt in real time to whoever's on the line.

What is holding your current website back?

Common gaps we find in nearly every audit.

Every missed inbound call is money walking out the door
Risk: Someone else picks it up — probably your competitor. And no, they're not leaving a voicemail. Studies show 80% of callers just hang up.
SDR teams hit a ceiling
Risk: Call volume scales up, reps burn out, response times slip, and perfectly qualified leads go cold before anyone gets back to them.
IVR phone trees actively push people away
Risk: Those touch-tone menus drive abandonment rates up 30-50%, sending customers straight to whoever answers faster.
After-hours calls? Weekends? Gone
Risk: You're funding marketing that generates leads around the clock but only picking up the phone 40 hours a week.
And even when calls do get answered, quality is all over the place
Risk: Some reps qualify properly, others don't. Script adherence and data capture are inconsistent — often frustratingly so.
Then there's the data problem
Risk: Call insights live in your reps' heads instead of your CRM. Pipeline forecasting and coaching become guesswork.

How We Build This Right

Every safeguard, built in from Day 1.

Real-Time Speech Recognition

Sub-600ms ASR processing catches every word — accents, background noise, all of it. Your agent won't ask callers to repeat themselves.

Natural Voice Synthesis

The voices are built on ElevenLabs and custom voice models. Tone, pacing, inflection — it all feels real. Most callers genuinely can't tell they're talking to an AI.

Intelligent Call Routing

When a conversation needs a human, the agent does a warm handoff with full context already loaded. The rep picks up knowing exactly what was discussed, not starting from scratch.

CRM & Calendar Integration

It connects directly to whatever you're already using — HubSpot, Salesforce, Cal.com, Google Calendar. Appointments get booked and contacts get updated mid-call, no follow-up required.

Conversation Analytics

Every call produces structured data: intent classification, sentiment scores, qualification criteria, full transcripts — all searchable in your dashboard.

Call Recording & Compliance

Consent handling, call recording storage, and PII redaction are built in. Depending on your industry, we build to TCPA, HIPAA, and GDPR requirements.

What We Build

Purpose-built features for your industry.

Multi-Turn Conversation Memory

The agent tracks context across a long conversation. It remembers what the caller mentioned ten minutes ago and doesn't lose the thread.

Function Calling & API Actions

Mid-call actions — checking appointment availability, pulling up order status, creating a support ticket — happen instantly.

Multilingual Support

Got a diverse caller base? Voice agents detect and switch languages automatically. No separate phone lines, no routing headaches.

Customizable Voice & Personality

You control the tone. Professional, friendly, technical — custom voice profiles and conversation styles can match your brand closely.

Outbound Campaign Automation

Outbound calling works too. Appointment reminders, payment follow-ups, survey collection, re-engagement campaigns — running at scale without adding headcount.

Live Dashboard & Monitoring

You can watch calls in real time, step in when needed, and track KPIs like resolution rate, average handle time, and conversion.

Built on a Modern, Secure Stack

Next.jsRetell AIElevenLabsOpenAITwilioCal.comSupabaseVercel

Our Development Process

From discovery to launch. Quality at every step.

01

Call Flow Mapping

Week 1

We start by digging into your current call volume, common intents, and business rules. Every conversation path gets mapped out — including the edge cases and escalation triggers people usually forget until something breaks.

02

Agent Architecture & Voice Design

Week 2-3

Then we pick the right ASR/LLM/TTS stack for your latency and accuracy needs. Custom voice profiles, prompt engineering, and function calling schemas get built and tested properly before anything goes live.

03

Integration & Telephony Setup

Week 3-4

We connect your voice agent to Twilio or your existing telephony provider, your CRM, calendar, and any backend systems the agent needs to pull real-time data mid-call.

04

Testing & Adversarial QA

Week 4-5

Hundreds of simulated calls put every conversation path through its paces. We stress-test with edge cases, interruptions, background noise, and accent variations until resolution rates hit target.

05

Launch & Optimization

Week 5-6

Then we deploy with a shadow period — the agent handles real calls while your team monitors. We do weekly prompt tuning and flow optimization after launch, because performance keeps improving once you've got real call data to work with.

Social Animal

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AI Voice Agents from $8,000

Fixed-fee. 30-day post-launch support. See all packages →

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Related Resources

Frequently Asked Questions

Modern TTS engines like ElevenLabs produce voices that pass blind tests against human speakers. The agents handle pacing, filler words, turn-taking — they know when to speak and when to actually listen. Most callers don't figure out they're talking to AI until someone tells them. And voice quality keeps getting better as models train on more conversation data.
Yes. The agent checks real-time calendar availability through Cal.com, Google Calendar, or your scheduling system via function calling. It confirms the time, sends confirmation texts or emails, and creates the CRM record — all within the same conversation. No human needs to follow up on standard bookings.
Every agent has explicit escalation paths built in. When confidence drops below a set threshold, or the caller just asks for a human, the agent does a warm transfer and passes the full conversation context and transcript to your team. The rep picks up with complete background instead of asking the caller to start over.
A production-ready voice agent typically takes 5-6 weeks from kickoff to launch. Simple single-intent agents — appointment booking, for example — can ship in 3 weeks. Complex multi-intent agents with deep integrations and compliance requirements take 6-8 weeks. Every project includes a shadow monitoring period before full deployment.
It can be. Healthcare voice agents get built on HIPAA-compliant infrastructure — encrypted call data, BAA-covered telephony providers, PII redaction in transcripts, secure data storage. The agent won't touch PHI unless the call flow is explicitly designed with proper safeguards and consent collection already in place.
AI voice agents typically run $0.08-0.25 per minute versus $1.50-3.00 per minute for human agents. At 2,000 monthly calls averaging 3 minutes each, that's roughly $480-1,500/month for AI versus $9,000-18,000 for human reps handling the same volume. The ROI compounds as you grow — AI scales without hiring.
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Need enterprise scale?

200+ employee company? Complex multi-tenant, auction, or multi-location requirement? We have a dedicated enterprise capability track.

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