Glossary

What Is an AI Voice Agent?

An AI voice agent is a system that listens, reasons, and responds in real time, then takes action in your tools.

The Problem

Why this definition matters

01

Voice demos often hide workflow and reliability gaps.

02

Latency and handoff quality are easy to underestimate.

03

Without memory, repeat interactions feel broken.

Everyone shows you the demo where the AI handles a perfectly scripted call. Nobody shows you what happens when the caller interrupts, background noise cuts in, or the CRM API times out. That's where voice agents actually fail.

AI systems builder, r/MachineLearning, September 2025

What You've Already Tried

What gets confused

Option 1

Text chatbot and voice agent are not the same.

Option 2

Speech-to-text alone is not a voice agent.

Option 3

Prompt scripts alone do not create production behavior.

Market Signal

The AI voice market grew 41% in 2025 — but production reliability remains the top buyer concern.

The AI voice agent market has seen explosive growth driven by tools like Vapi, Retell AI, and Bland AI lowering the barrier to entry. Per a16z's AI infrastructure survey, 78% of teams that deployed voice AI cited 'reliability in production' as their #1 concern post-launch — above cost and feature set. The market is bifurcating: demo-quality voice is commoditized, production-quality voice is still a differentiator.

a16z AI Infrastructure Survey, 2025 · 2025

What We Build

Production components

Production components
01

Speech and turn-taking optimized for real callers.

02

Memory for continuity over time.

03

Automation that turns conversation into execution.

Results

How to vet one

Can it handle interruptions and noisy inputs?

Can it recover when a workflow dependency fails?

Can it escalate cleanly with full context?

FAQ

Questions we get asked.

Stop losing revenue to
an unanswered phone.

We can audit your current voice setup and show where production gaps are.

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