Call analytics with AI

Every call is reviewed against your checklist: greeted the customer, identified the need, named the price, agreed on the next step. With quotes and timecodes — so an argument about what was said takes seconds.

Call quality control usually works like this: once a month a manager listens to a few conversations, draws conclusions from them and applies them to everyone. A sample the size of a rounding error cannot work as control. A neural network changes the coverage: every single call is reviewed. That is why the first result is most often the discovery of a systemic problem — a question nobody knows how to answer, or a stage that everybody skips.

What call reviews give you

  • A transcript of every conversation, split into turns
  • A check against your checklist, marking what was done and what was skipped
  • Quotes and timecodes for every conclusion — any of them can be checked in seconds
  • A summary by manager and by topic: where customers are lost most often
  • The frequent questions nobody has a good answer to
  • Alerts about problem conversations — a conflict, or a promise that should not have been made

How it works

From the recording of a conversation to a number that shows what is going on in the team.

  1. 01

    We collect the recordings

    Conversations are pulled from your telephony or CRM automatically, as they come in — nothing needs to be exported by hand.

    from your phone system
  2. 02

    We transcribe them

    Speech becomes text, split into the manager’s and the customer’s turns, with timecodes that take you back to the right place in the recording.

    text with timecodes
  3. 03

    We check them against the checklist

    Every conversation is reviewed against your criteria: greeted the customer, identified the need, named the price, agreed on the next step.

    your checklist
  4. 04

    We build the picture

    For the team and for each manager you can see what is slipping: the price is not named, the next step is not fixed, objections are not handled.

    by team and by person
  5. 05

    We feed it back into the work

    The summary arrives in the manager’s messenger, problem calls are flagged, and the score lands in the deal record.

    into the CRM and the messenger

How call analytics differs from a voice agent

Here the AI does not talk to the customer: it listens to what people said.

Call analytics

Works after the conversation.

  • Analyses recordings of your staff’s conversations
  • Checks every call, not a sample of five
  • Shows quotes and timecodes
  • Answers the question of why people did not buy
  • Quick to roll out: access to the recordings is all it needs

Voice agent

Works in the moment of the conversation.

  • Answers incoming calls itself instead of a person
  • Runs the conversation from your materials
  • Books appointments and creates requests
  • Transfers to a person when needed
  • Needs a connection to your telephony

What the business gets

Time saved. The manager stops listening to conversations by hand: every call is reviewed, and all that needs reading is the summary and the flagged calls

Processing speed. The review arrives on the day of the conversation, not at the end of the month when the customer has already bought elsewhere

Fewer losses. Recurring reasons for refusals become visible — and it becomes clear what to fix in the script rather than in the people

One yardstick. Every call is assessed against the same checklist, without personal taste and without grudges

How to roll it out without a mutiny in the team

Technically it is not hard. The hard part is what happens with people.

Say it openly: hidden monitoring always comes out and destroys trust completely

Start by looking for systemic problems — the first month with no conclusions about individuals at all

Agree the checklist with the people who will be assessed by it: contentious points are better discussed in advance

Use the findings for training and for improving the scripts

Tell customers that calls are recorded and do it in line with the law — a must before launch

Integrations

your telephonyspeech recognitionHubSpotPipedriveGoogle SheetsTelegram

Not a closed list: if your system has an API, we can most likely connect to it too.

Tell us what needs to be done

We reply within one working day. Scoping and the estimate are free.