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Audio Analyzer

Every call is recorded. Almost none are listened to

A month of recordings is hundreds of hours; a manager gets through a handful a week. Audio Analyzer listens to all of them — it transcribes the call, separates who said what, and produces a readable result about both the operator and the customer.

The problem

The archive grows. What you know about it doesn't

The recordings are kept — but the hours it would take to learn anything from them never appear.

  1. 01

    A thousand calls a month, five listened to

    How many calls get checked is set by how much time a manager has. About the rest there is exactly one honest sentence: we don't know.

  2. 02

    Spot checks keep finding the same calls

    What gets reviewed is either a complaint or a random pick. The systematic mistake sits in the calls that produce no complaint — which is why it can go unseen for years.

  3. 03

    What the customer said stays in that call

    An objection, a request or a competitor's name is spoken once and stays inside the recording. What reaches the CRM is a single phrase: “not interested”.

Audio Analyzer does not speak to anybody. Its job is to listen to what was already said, write it down and measure it — and it makes no difference whether the call was answered by your operator or by an AI agent.

One call

One call, and what is left of it once it has been heard

On the left, the recording itself: who talked for how long, where the silences fell, where somebody was cut off. On the right, the two read-outs that call produced — one about the operator, one about the customer.

Incoming call · +994 12 XXX XX XX

6 min. 12 sec.

The recording under analysis

  • Operator
  • Customer
  • Silence
Talk share
69% / 31%
The operator spoke twice as much as the customer.
Interruptions
4 times
Three of them as the customer raised an objection.
Longest silence
19 sec.
Immediately after the price was given.

The operator

Against the “good call” standard you wrote

Greeting and introduction
Done
Needs discovery
Partial — two questions
Offer presented
Done
Objection handling
Skipped
Next step
Not agreed
Tone
Calm, rushed at the end

The customer

Read from the call itself

Reason for calling
Price and delivery time
Sentiment shift
Neutral → dissatisfied
Main objection
“It's cheaper elsewhere”
Competitor named
Once
Question left open
How many days delivery takes
Outcome
No decision

Call summary

The customer asked about price and delivery time. Once the price was given they brought up a competitor's offer; the operator changed the subject without opening the objection, and the delivery question was never answered. The call ended with no next step agreed.

The figures are an illustration of the screen — yours will come out of your own calls. What does not change is this: every line has the moment that produced it underneath — which second, which speaker, which words. So any finding can be checked against the recording.

Capabilities

What Audio Analyzer does

Twelve jobs in four groups: it listens, it measures the operator, it reads the customer, and it turns the result into work.

Transcript
The whole call is transcribed word for word and becomes searchable. Every line keeps the second of the recording it came from.
Speaker separation
The operator's words and the customer's are recorded apart — including when a call is transferred or a third person joins the line.
Multilingual calls
Azerbaijani, Russian and English are recognised — including a switch of language in the middle of one call.

Scenarios

Where Audio Analyzer earns its keep

All four are done “when there is time”, which means they are not done.

01

The first read of the archive

«Nobody has ever listened to these calls»

Months of recordings go through in one pass, and it becomes visible for the first time which question came up most and where sales were actually lost.

02

Why the deal went quiet

«They were interested, then they vanished»

The calls that did not close are collected together: how many carried the same objection, and how many of those went unanswered, becomes a number.

03

A new operator's first month

«Hello, how can I help you?»

Every one of their calls is read against the same standard — the stage they systematically skip shows up in the first week, not months later.

04

The promise somebody made

«I was told I'd get a discount»

Promises made on the phone become searchable text. Who was told what stops being a matter of opinion.

Demo

Send us a few recordings and we'll send back the analysis

It is easier to show than to describe. Tell us briefly about your company — our AI Call Center agent will call you shortly and answer your questions.

  • Transcript with the speakers separated
  • A stage-by-stage read of the operator
  • The customer's reason, objection and outcome
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