solution · telecom

Every call under control. Every subscriber watched over.

The platform runs on top of your telephony, CRM and billing: every call is transcribed and checked against the script, the CRM card fills itself in, and churn risk is visible before the cancellation request lands.

100% of calls under control 0 min of manual CRM entry churn risk, ahead of time

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AISOL · Call controlinbound call · 04:12

call transcription · in progress

Subscriber: the internet keeps dropping in the evenings, this is my third call already… Operator: I can see the node is overloaded, I'm filing a ticket and a compensation.

Conversation transcribedKazakh and Russian · including mixed speech✓

Script check: 5 of 6no offer to switch to a current tariff5/6

CRM card updatedtopic, outcome, next step – entered automatically✓

Churn risk – signal to the manager3rd contact this week

how a subscriber actually leaves

30 days to the cancellation request

A subscriber doesn't leave out of the blue: for a month before the request, they leave signals – in tickets, calls, chat and billing. Below, that month is broken down day by day. The events are the same; the endings are two.

day 1

service deskwithout the platform

Repeat ticket: "speed drops in the evenings" Closed per the rulebook. That the subscriber is writing this for the second time in a month is nowhere in the ticket.

aisol · subscriber historywith aisol

Ticket recognized as a repeat – first signal The risk score shifted: 20%. Watching for now, not an alarm.

day 6

telephonywithout the platform

Third call – irritation in the voice Didn't make it into the review sample: a supervisor physically hears 2–3% of conversations.

aisol · risk scorewith aisol

Negativity in the call heard – risk score 74% Ticket and call linked into a single history. The manager got the signal that same day.

day 7

without the platformsilence – each system sees only its own piece

aisol · task in crmwith aisol

Task set for the manager – by the platform, on its own Inside: the contact history, the reason for the risk and a deadline. Manual entry: 0 minutes.

day 9

without the platformstill quiet

retention managerwith aisol

Call to the subscriber: node offloaded, tariff revised The cause of the dissatisfaction closed – before the subscriber went shopping around.

day 12

support chatwithout the platform

Question in chat: "what are the cancellation terms?" The operator answered politely and closed the dialog. The signal went no further than the chat.

with aisolno signal – the question about cancellation never came up

day 18

billingwithout the platform

Traffic dropped by half The subscriber is already testing a competitor. The number is in the report – no one opened the report.

with aisolno signal – traffic is normal

day 30

front officewithout the platform

Cancellation request The first moment a manager saw this subscriber. Too late now to offer anything.

aisol · month's outcomewith aisol

The subscriber stayed and keeps paying The risk was visible on day six – 24 days earlier than the left side learned it from the request.

The signals are identical. The difference is 24 days. On the left, the subscriber's history was assembled after the fact – from the request. On the right, the platform linked it by day six and launched retention on its own. It's checked on your anonymized recordings: a prototype in about a week, for free.

Check it on your own recordings →

quality control · before and after

Sample checks versus 100% control

On the left: quality control the way it stays in most contact centers. On the right: the same calls, when the platform hears them.

Sample checkssupervisor + random sample

AISOL · 100% controlevery call, every day

share of calls checked

2–3%what the supervisor managed to listen to between their own tasks

100%every call – against the script and the quality checklist

when a problem becomes visible

at the end of the monthfrom a summary report – or straight from the cancellation request

on the day of the calla broken script and churn risk arrive as a signal in the moment

who fills the CRM

the operator, by handafter the conversation – if there's time between calls

the platform, on its ownthe card is ready a minute after the call · 0 min of manual entry

objectivity of the assessment

by eardepends on the reviewer, their workload and their mood

a single checklistthe same criteria for all calls, operators and shifts

churn risk

after the factthe intent to leave is learned from the cancellation request

before the requestthe risk score rises from the first signal – a retention task is set on its own

The right column is not a roadmap: the platform is already running at a Kazakhstani telecom operator, six AI agents on a live flow of calls.

platform screens

Three screens: call breakdown, churn risk, morning summary

The platform is a layer on top of telephony, CRM, billing and the Service Desk. The call ends – transcription, script check and card fill themselves in. Here's what the operator and the manager see at that moment.

01 · every call, not a sample

The operator hangs up – the CRM is already filled in

Every completed call is an event that triggers a process: the platform transcribes the conversation, checks it against your script and fills in the CRM card. No manual entry and no sample checking.

100% of calls checked against the script and the quality checklist – not a sample
Kazakh and Russian – at native-speaker accuracy, including mixed speech
Topic, outcome and next step – in the CRM a minute after the conversation

AISOL · Call breakdowncall №18 342 · 03:47

Greeting and identificationper the script · steps 1–2 doneok

Problem clarified, solution offeredsteps 3–4 · Service Desk ticket filedok

No offer to switch to a current tariffstep 5 · reminder sent to the operatorstep 5

CRM card filled intopic, outcome, next step and deadline – from the conversation✓

Breakdown complete – card updated0 min of manual entry

02 · that very "day 6"

The risk score rises – the platform doesn't wait for the request

A repeat ticket, irritation in the voice, a question about cancellation – the platform hears these signals in every conversation and ticket and rolls them into a risk score per subscriber. The "risk" event launches retention on its own: a signal to the manager, a task to the account rep – with the full history.

A risk score for every subscriber – from calls, tickets and billing
The signal arrives at the moment of risk, not in a monthly report
A retention task is set on its own – with the contact history and the reason

AISOL · Churn risktoday · 14 signals

3 subscribers at high risk – retention tasks setbefore cancellation

Subscriber №48 213 · risk 87%3rd call this week · competitor mentionedhigh

Subscriber №51 097 · risk 64%repeat ticket on speed · negative tonemedium

Subscriber №47 550 · risk 18%tariff question · resolved on the first calllow

03 · the manager's morning

09:00 – the summary is assembled, no exports needed

By nine in the morning the summary is already there: funnel stages, conversion, conversation quality for each operator. The "new day" event runs the report on its own – data from telephony, CRM and billing come together into one picture with no exports and no manual spreadsheets.

The funnel by stage – from contact to connection, every day
Conversation quality for each operator and team
Drop-offs are visible in the morning, not at the end of the month

AISOL · Morning summaryTue · 09:00 · 1 862 calls

96%+2%of calls passed the script

31%conversion: request → connection

14churn-risk signals

Contacts1 862 yesterday100%

Qualificationgreen zone78%

Requeston target52%

Connectionrisk · −4% week-on-week31%

effect

What changes in numbers

100%of calls checked against the script – instead of a 2–3% sample

0 minof manual entry: the CRM card fills itself in after the call

1 dayreporting cycle: funnel and quality – every morning, no exports

ahead of timethe churn-risk signal – before the cancellation request

frequently asked

Four questions people ask first

Nothing. The platform is a layer: telephony, CRM, billing and the Service Desk stay in place. Where there's an API, we connect directly; where there's no API, an AI agent works through the system's interface, like an employee. A telecom operator's flow – thousands of calls a day – is processed in parallel, with no queues and no manual launching.

No. The platform is deployed inside the operator's perimeter: call recordings and subscriber data never leave your infrastructure. Access rights are separated by role, every action of the AI agents is logged – it's always clear who did what and when.

It won't drift. Kazakh and Russian are recognized at native-speaker level, including mixed speech within a single conversation – the norm for subscriber calls. From the transcription the platform extracts the topic, the substance of the contact and the agreements – and puts them into the CRM card.

The model is a subscription; the configuration depends on call volume and the set of scenarios, and we cost it out after reviewing your processes. Until then everything is free: the demo, the review and a prototype on your anonymized recordings – in about a week. If call control and churn signals don't convince you on your own data, you pay nothing. Going to production – from eight weeks.

next step

We'll show call control on your recordings

Leave your contacts – we'll set up a demo, review your processes and configure a prototype on your anonymized call recordings. You'll see the script check and churn signals on your own data before any commitments.

demo · process review · prototype – free