Accelerator

Voice Pilot — live voice agent in 21 days

Sub-second voice agent deployed on real telephony infrastructure in three weeks.

Get a scoping call

Voice AI in a demo is straightforward. Voice AI that handles real calls — with interruptions, background noise, mid-sentence topic changes, and sub-second response times — takes production depth most demos never show. Voice Pilot delivers a battle-tested voice agent on Twilio, Vapi, or LiveKit in 21 days.

21
days to live calls
<250ms
target turn latency
5
core deliverables
Client outcome
Average turn latency achieved: 220ms end-to-end.
Get a proposal
StackTwilioVapiLiveKitDeepgramElevenLabsOpenAI RealtimePython

What we build

01
STT / TTS pipeline

Deepgram for transcription, ElevenLabs or Play.ai for synthesis — tuned for the lowest perceptible latency on your hardware.

02
Telephony integration

Twilio Programmable Voice with PSTN, SIP, WebRTC, and toll-free number provisioning. Inbound and outbound call flows.

03
Conversation design

Turn-taking logic, barge-in detection, silence handling, and a natural conversation flow designed for your use case.

04
Function calling & CRM sync

The agent can query your CRM, schedule appointments, look up orders, and write back outcomes in real time.

05
PII redaction & compliance

Real-time PII masking, call recording with consent flows, and compliant storage — ready for healthcare and finance.

How we deliver

Day 1–3
Conversation design
Map the call flow, define intents, draft scripts, and agree on success metrics (call completion rate, CSAT, deflection rate).
Day 4–10
Pipeline build
STT, LLM, TTS chain with telephony integration. First live call by day 8 on a staging phone number.
Day 11–17
Integration & hardening
CRM hooks, function calling, edge case handling, load testing, and latency tuning.
Day 18–21
Go-live & handover
Production number provisioning, monitoring dashboards, alert thresholds, and team walkthrough.

Best practices for Voice Pilot

  • Optimize for turn latency before everything else

    Users tolerate transcript errors and imperfect answers far more readily than silence. Latency is the primary trust signal in voice.

  • Design the fallback path before the happy path

    An agent that can't gracefully hand off to a human will destroy trust faster than a slow one. Build escalation first.

  • Test on real phone hardware, not browser audio

    PSTN codec compression and network jitter change latency profiles significantly. Browser testing gives a false sense of readiness.

  • Handle barge-in from the start

    Bolting interrupt detection on after the fact requires rearchitecting the response pipeline. It's far cheaper to design for it from day one.

Evolve Edge team

From Evolve Edge

“Voice AI is deceptively easy to demo and brutally hard to ship reliably. We focus on production fidelity — latency, error handling, compliance — not demo polish.”

FAQ

Which use cases fit Voice Pilot?
Inbound qualification, appointment scheduling, outbound follow-up, patient intake, lead nurturing, and internal HR/IT helpdesk bots.
Can it handle multiple simultaneous calls?
Yes. Our architecture scales horizontally. We load test to your expected concurrency before go-live.
What languages do you support?
English by default. Spanish, French, German, and Portuguese are available with the same latency profile. Other languages are scoped on request.
How do you handle calls that go off-script?
Graceful escalation to a human agent via warm transfer, with full transcript and context passed along automatically.

Have Questions? Let's Talk.

Free 30 minute call with a senior engineer, not a salesperson. We have got the answers to your questions.

Book strategy call
contact@evolveedge.co+1 (512) 678-3820