Run Agent-Fit AuditField notesAbout

Contents

  1. 01The three parts of a pause
  2. 02Knowing the caller has finished
  3. 03The model's first sentence
  4. 04The first sound
  5. 05What happens to the numbers on your own servers
  6. 06How to write it into acceptance

Next step

Agent-fit audit

Run Agent-Fit Audit

Free, in the browser, no call required.

Share

← All notes
Contents6 sections
  1. 01The three parts of a pause
  2. 02Knowing the caller has finished
  3. 03The model's first sentence
  4. 04The first sound
  5. 05What happens to the numbers on your own servers
  6. 06How to write it into acceptance

How it worksARTICLE

Where the Second Goes

On a real call to our demo the agent started speaking 1.09 seconds after the caller stopped: 0.48 s to decide the caller had finished, 0.54 s for the model's first sentence, 0.07 s for the first sound. What each part is, and why an on-premise install has to measure it again.

2026-10-14Costa4 min read

Short answer

The pause before a voice agent answers is three delays in a row: deciding the caller has finished, the language model producing its first sentence, and the synthesiser producing its first sound. On a call to our demo on 9 October 2026, with cloud models, they came to 0.48 s, 0.54 s and 0.07 s, or 1.09 s in total. On your own hardware every one of those numbers changes and has to be measured again under load.

Key facts

  • Demo call, 9 October 2026, cloud models: end-of-turn detection and network 0.48 s, the model's first sentence 0.54 s, first synthesised audio 0.07 s, 1.09 s in total.
  • The acceptance criterion we propose is written per scenario: for example, a median answer no slower than 1.5 seconds on the customer's real line.
  • Response time is accepted as a median and a 90th percentile under an agreed load, not as a single best call.

People on the phone expect an answer after a pause of about a second. Much longer and they say "hello?", start repeating themselves or talk over the reply, and the call stops sounding like a conversation.

So the useful question about a voice agent is not how clever its model is. It is how that second is spent.

The three parts of a pause

On 9 October 2026 we took a real call to our demo, running on cloud models, and split the gap between the caller's last word and the agent's first sound into its parts.

PartTime
Deciding the caller has finished, plus the network0.48 s
The language model's first sentence0.54 s
The synthesiser's first sound0.07 s
From the end of the phrase to the voice1.09 s

One call, one moment, cloud models. It is a breakdown, not a benchmark, and the delivery page shows the same figure with the same caveat.

Knowing the caller has finished

The first 0.48 seconds are spent waiting for silence to mean something.

A person who pauses in the middle of an address has not finished, and a person who says "yes" and stops has. The agent has to tell those apart from the sound alone, without the face and the breath that a human operator reads. Make the wait too short and the agent interrupts people mid-thought. Make it too long and every answer starts late. The same machinery decides when the agent should stop because the caller cut in, which is the subject of the caller who interrupted, and when a "mm-hm" is just a sign the caller is listening.

This is configuration, not hardware. It moves with your callers and your scenarios, and it has to be tuned on real calls rather than on a quiet office line.

The model's first sentence

The next 0.54 seconds belong to the language model, and the important word is "first". The agent does not wait for the whole reply. It needs the first sentence, hands it to the voice, and keeps writing the rest while the caller is already hearing the beginning.

That is why the model's speed to the first sentence matters far more than its speed on a long answer, and why a short first sentence ("Got it, a two-room flat.") is a design choice and not a mannerism. It is also the part that changes most when you move off cloud models: a local model on your cards can be faster or slower than this, and it slows down when several callers stop talking at once. We wrote about what that means for the server in what a voice agent runs on.

The first sound

The last 0.07 seconds are the synthesiser starting to speak. It is the smallest part on our call because the voice begins playing as soon as the first few words exist rather than after the full sentence is rendered.

A local synthesiser can lose that advantage if it has to finish a phrase before it can play it. That is a property of the model you choose, and it is worth checking before you choose it.

What happens to the numbers on your own servers

When the models leave the cloud, every row of the table becomes a question again.

The end-of-turn part stays roughly where it is, because it is mostly configuration, but the network part changes with where the server sits and how the call reaches it. The model's first sentence is set by your model on your cards and by how many callers are waiting at the same moment. The first sound is set by the synthesiser you pick. And a phone call adds its own delay on the way, which is part of what we measured in two mobile legs.

So we do not promise the demo's 1.09 seconds for a fully local install. We promise to measure it: on rented hardware first, with your scenarios and your real peak, before the server is bought.

How to write it into acceptance

A single good call proves nothing about the hundredth call of a busy morning. The criterion we propose has three parts: a median and a 90th percentile, from the end of the caller's phrase to the agent's voice, under an agreed number of simultaneous calls, on your real line. A typical line in the spec reads "median answer no slower than 1.5 seconds".

Written that way, "the agent is slow" stops being an impression and becomes a number both sides measured the same way.

Questions this raises

What is a good response time for a voice agent?
People expect an answer after a pause of roughly a second. On our demo the agent answered in 1.09 s on a real call. For acceptance we suggest fixing a median and a 90th percentile, for example a median no slower than 1.5 seconds, measured on your line under your peak.
Which part is the slowest?
On our measured call, the language model's first sentence at 0.54 s, closely followed by deciding the caller had finished at 0.48 s. Synthesis was the smallest part at 0.07 s. On local models the proportions can be completely different.
Why can't you promise the same latency on our servers?
Because the 1.09 s was measured with cloud models on a single call. A local model on your cards, under several callers at once, has its own first-sentence time, and the honest move is to measure it on rented hardware before anyone buys a server.

Share

← All notesHow it works

Read next

  • What a Voice Agent Costs: Cloud, Your Perimeter, or Your Own Hardware2026-10-12
  • Two Mobile Legs2026-10-16
  • “A Yacht for the Weekend, for Six”2026-08-31

Next step

Agent-fit audit

Free, in the browser, no call required.

Run Agent-Fit Audit

Assistants that answer your customers, plugged into what you already run. The automation service itself lives on inite.ai.

Email[email protected]
OfficeGlobal Remote Operations

INITE Ecosystem

  • INITE AI
  • INITE Education
  • INITE Club
  • INITE Events
  • INITE Fund
  • INITE Digital
  • INITE Rent
  • INITE Estate
  • INITE Shop
  • INITE Studio
  • INITE Health
  • INITE Travel
  • INITE Sport

Company

  • About
  • Products
  • Field notes
  • Run Agent-Fit Audit
  • How the models are used
  • How we handle AI responsibly

Projects and Solutions

  • Voice AI
  • Sales AI
  • Social AI
  • Omni AI

Automation by INITE

Sold and delivered on inite.ai

  • Services
  • Methodology
  • Service Tiers
  • Case Studies
  • Resources

© 2025 INITE SOLUTIONS. All rights reserved.

Privacy PolicyTerms and ConditionsCookie PolicyData Protection
LanguagesEnglish/Русский/Español/Português