Speech analytics · call quality control

Your PBX recorded two thousand calls last month. You opened maybe twenty

Everyone has the recordings — any virtual PBX makes them. Nobody gets any use out of them: there's no one to listen. Speech analytics transcribes every conversation, tags it against the stages of your script, and scores it with a quote and a timestamp. It connects to what you already run: Mango, Telfin, Bitrix24, amoCRM. Instead of a folder of recordings, you open one screen full of numbers. Start with a free automation roadmap — we listen to your real calls and show you what can be pulled out of them.

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Case: industrial equipment reseller: conversion +27% in 2 months
Call quality control: down from 10 hours to 30 minutes a week
Review coverage: 100% of calls instead of a sample

Speech analytics · call quality control — AI implementation diagram

01Sound familiar?

You have an archive of recordings and zero answers

A customer files a complaint — and the digging begins. The sales manager searches for the call by date, downloads the file, listens for twenty minutes at 1.5x speed to find the thirty seconds where a rep promised a deadline that doesn't exist. By evening it turns out there were four more promises like that — nobody just happened to complain about them.

You ask for a report: why did conversion drop this month. You get "leads came in weaker." There's exactly one way to check that — sit down and listen to a few hundred calls. You won't do that, your sales manager knows you won't do that, and that's where the conversation ends.

The most expensive information sits inside calls nobody will ever open. The objection customers started raising in May that nobody addressed. The rep who's been ending calls for two months with "I'll send it over" and no date attached. All of it is recorded and sitting on your drive.

02The cost of inaction

How much are you losing while you read this page

Run your own numbers: how many inquiries come in per day, and what share of them drift into "the customer will think about it" with no follow-up on why.

Inquiries per day 30

Lost before a reply 50%

Average deal size ₽70,000

Lost revenue per month — per year — —

A rough estimate based on your inputs — we calculate exact numbers on a free consultation.

Get this money back

03How it will feel

Your Tuesday a month from now

You open one screen. On the left — a weekly summary by rep: who's weak on uncovering the need, who isn't setting a next step, who spends eighty percent of the call in a monologue. On the right — a list of six calls flagged as critical: an unhappy customer, an off-script promise, a deal on the edge. Next to each one — a quote and a timestamp, so you can hear the exact moment in fifteen seconds instead of twenty minutes. You forward the list to your sales manager in one message and head to a meeting. By evening, a report on those six calls lands in your inbox. You haven't opened a single full recording — and for the first time in a year, you know exactly what's happening in conversations with your customers.

Now

What you listen to5-20 recordings a month, usually after a complaint

Reason a deal was lost"customer will think about it" in the CRM card

Coaching a repbased on the manager's memory and general impressions

A new customer objectionyou notice a quarter later, from a dip in conversion

With AI

What you listen toa summary of 100% of calls, in minutes

Reason a deal was lostthe exact script stage where the call broke down

Coaching a repa quote and timestamp for every checklist item

A new customer objectionvisible in the second week, as it starts trending up

04How it works

Three steps, and you don't write a single line of code

01 · Step 1 · 14 days, ₽0
Automation roadmap
We take your real recordings — not demo samples — and run them through recognition. We show you on paper: what the system pulls out of your calls, where audio quality falls short, and which metrics actually correlate with revenue in your case. You keep the document either way, with no obligation.
02 · Step 2 · pilot
We connect to your telephony and CRM
We pull recordings from Mango, Telfin, or whatever PBX you run, and build a checklist around your script and your terminology. Every call's score lands in the deal card in Bitrix24 or amoCRM — right where your sales manager already works. You check the first live report against what you thought you knew about your team.
03 · Step 3 · ongoing
Managing by conversations
A dashboard by rep and by stage, a same-day alert to your sales manager on any critical call, quarterly trends in objections. We fine-tune the model to your product line and terminology as calls accumulate, and update the checklist whenever your offer changes.

05Proof

He spent ten hours a week listening to calls and called it quality control

Edemium case study · industrial equipment

A wholesale reseller of industrial equipment. Fifteen sales reps, around a hundred calls a day, a long deal cycle, an average order value in the hundreds of thousands of rubles.

The owner spent five to ten hours a week listening to calls. Formally, that was quality control. In practice, it was a sample: he could only get through a small share of the flow, and it was usually the calls that had already gone fine anyway. The surface complaint sounded like "conversion isn't growing, even though we have enough leads." The real problem ran deeper: he couldn't explain in numbers why one rep closed noticeably better than another on the exact same traffic.

He rejected the idea at first. "A machine won't understand our specifics — these are technical negotiations about tolerances and delivery windows, not selling vacuum cleaners." He agreed to a pilot on one condition: the system would first score a hundred calls he'd already scored himself by hand, and they'd compare results. The scores matched almost everywhere. We now offer that same test to every skeptic — it's honest, and it costs one evening.

We set up scoring for 100% of calls against a checklist built from his own script: did the rep uncover the customer's need, did they quote real delivery windows, did they handle "too expensive," did they set a next step with a date. Every call got a score and a short summary with quotes. Failures on critical checklist points were flagged the same day, not buried in a monthly report.

The first week revealed something nobody expected: a significant share of calls ended with no next step set — reps were simply saying "I'll send it over." The fix wasn't training, it was daily visibility. Over two months, conversion rose 27%. The owner's personal review time dropped from ten hours a week to thirty minutes — he opens a summary now, not recordings. Along the way it became clear what set their strongest rep apart: he always got to the customer's actual need, and he always closed the call with a date. Those turned out not to be personality traits but two checklist items now built into the script for everyone.

"I thought I knew my sales team. Turns out I knew the part of it I had time to listen to — and that was the best part."

A real case; the company's name is withheld under NDA. Your numbers will depend on current conversion, deal cycle, and script quality.

I want the same result

06While you're thinking it over

What's happening in your calls while nobody's reviewing them

A rep who's been losing the "too expensive" objection to the same tired line for a month — you find out once deals are already closed at a loss. A new hire takes longer than they should to reach a normal level, because feedback arrives once a week and from a coach's memory. Ad spend feeds leads into a team where some calls end with no next step at all — you're paying for traffic that's already leaking away after the customer picks up. Off-script promises — discounts and deadlines that don't exist — surface at the shipping stage, when it's already awkward to walk them back. And separately: you don't see that customers have started asking about a competitor nobody mentioned a year ago. That's the first sign it's time to change your offer, and it's sitting in your call archive right now.

07I know what you're thinking

Honest answers to the main doubts

We already record calls in our PBX. Why do we need another system?

Recording is storage, not analysis. Your PBX piles up files but doesn't answer the question of which script stage deals are falling apart at. The unit of measurement changes: it used to be a call you had to listen to in full, now it's a team-wide metric that leads straight to a management decision. Your recordings stay exactly where they are — we only read them.

It's expensive. We don't have budget for experiments like this

The first step costs ₽0: over 14 days we review your real calls and show you what can be pulled out of them. You see a breakdown of your own team before you pay a single ruble. The pilot, from ₽90,000, costs less than one rep's monthly salary and pays for itself on one or two recovered deals. We calculate it on your funnel, not on general promises.

We have technical jargon — AI will just hear noise

That's a fair objection, and it gets checked before any money changes hands. We run your own recordings through recognition during the automation roadmap and show you the transcript of your exact conversations, not a vendor demo. Product names, abbreviations, and competitor names get added to an industry glossary. If your telephony's audio quality can't support it, we'll say so at this step.

We run Bitrix24 and Mango. Do we have to rip everything out?

No. We connect to what's already running: Mango, Telfin, Beeline, Bitrix24, amoCRM. Nothing changes for your reps — they call from the same telephony, work in the same CRM. The call score simply appears in the deal card. We check your specific setup during the automation roadmap and flag upfront if a custom connector is needed anywhere.

Call recordings are customer personal data

We work out an approach that fits your compliance level: infrastructure on your side, Russian cloud hosting, anonymization before processing. The storage scheme gets written into the contract before the pilot starts, not figured out after the fact. If you already have an internal personal-data policy, we work inside it, not around it.

✓

A risk-free pilot for you

We launch a pilot in 2 weeks. You set the success metric yourself. If you don't see results on it, we refund the pilot. The risk is on us, not you.

08Cost

What it costs to stop storing calls nobody listens to

A dedicated quality-control hire: a salary every month, and they can physically only get through the share of calls they have time for. Speech analytics reviews 100% of calls every day, against the same checklist, with no vacations and no "I'll just sample today."

Consultation

₽0Process review + ROI estimate

Funnel review and loss points
Lost revenue calculated in rubles
An honest read on where AI will pay off

Get it free

StartScenario pilot

from ₽90,000Payback in 2–4 months

Automation roadmap — ₽0, 14 days: we run your recordings through recognition and show you what comes out of them
Pilot — from ₽90,000: one team, your checklist, telephony and CRM integration, the first live reports
Verified on your own data: we take calls you've already scored by hand and compare them to the system's score

Launch a pilot

Turnkey

Custom quoteFull stack + ongoing management

Turnkey — custom quote: the entire call flow, dashboards, same-day alerts on critical calls
Fine-tuning for your product line and script, trend analytics on objections and competitor mentions
Ongoing management: we update checklists whenever your offer, funnel, or team changes

Discuss your project

09Frequently asked questions

FAQ on speech analytics

What exactly does the system do with a call?

It transcribes the conversation to text, separates the rep's lines from the customer's, tags the call against the stages of your script, and scores it against a checklist: was there a greeting, did the rep uncover the need, how was the objection handled, was a next step set with a date. Every point comes with a quote and a timestamp — you can verify a score in fifteen seconds without replaying the whole recording.

What metrics does a manager see?

Script-stage completion — where the conversation breaks down. Talk-time share — who's leading the dialogue and who has drifted into a monologue. Top objections across the entire call base, not just the ones reps logged in the CRM. Whether a next step with a date was set. Off-script promises — discounts and deadlines the rep had no authority to offer. Sentiment and escalations — conversations where the customer is unhappy and can still be won back the same day.

Do we need to change our telephony or CRM?

Usually no. We connect to whatever you already run: Mango, Telfin, Beeline, Bitrix24, amoCRM, and others. We pull recordings from your PBX and push scores into the deal card. We check your specific setup during the automation roadmap and tell you upfront if a custom connector is needed.

How accurate is the AI's scoring?

Accuracy is verified before the pilot, on your own data: we take calls you or your sales manager already scored by hand and compare results. Discrepancies usually land on borderline cases — the kind two humans would also score differently. Any disputed call can always be opened: the recording link sits right next to the score.

Will reps see this as surveillance?

Depends on how it's introduced. Roll it out as "now you're being watched" and you get sabotage — important conversations move to personal messengers. A different framing works: call analysis looks for weak points in the process, not people to blame. It helps to start by reviewing the best calls, not the worst, and to make scoring a coaching tool rather than grounds for punishment. We work out how to frame it with your team before launch.

Be the first in your industry to manage by conversations, not by reports

Every one of your competitors has call recordings. Almost none of them review them. The gap between you and the company next door won't be technology — it'll be how many days it takes you to learn about a problem. While they're debating in a meeting why conversion dropped, you already have the exact stage and the exact phrase where customers are walking away, on screen. It won't produce an overnight revenue spike, but it removes the single most expensive line item you have — the time between a mistake in a conversation and fixing it.

I want to be first in my industry

10Connection point

We'll review your calls for free

14 days, ₽0, no obligation. We take your real recordings, run them through recognition, and show you on paper: what the system pulls out of them, which metrics actually correlate with revenue in your case, and what's worth fixing by hand before any automation at all. From there, it's your call.

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