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Real case study · FMCG / distribution

AI assistant for sales teams: a meeting memo in about 2 minutes

A large Bulgarian company with an extensive sales network. The memo for every meeting should be ready within 24 hours, but in practice it arrives days late.

🔊 With voice-over and subtitles

The problem

An internal rule says every sales meeting gets a written memo within 24 hours. In practice only a small share are written on time, often a week late. Sales reps lose time writing, and management learns about agreements and risks too late.

The solution

01

Record

The sales rep records the meeting in the web or mobile app.

02

Transcribe

Speech is turned into text locally, on a dedicated server.

03

Memo

AI arranges the content in the company template.

04

For review

Nothing unclear is guessed: it is flagged with a quote from the recording.

05

Approve

The sales rep approves and the document is uploaded to the company system.

How we protect the data

  • EU hosting
  • Made-up but realistic data for the demo
  • No direct AI access to the company’s core systems
  • A person approves every document

Our own measurements

~2 min

from a 2-minute recording to a finished document

60+ min

recordings of an hour or more are handled too

~20

improvements based on feedback

AI running costs are cents per document, with a monthly cap. Measured on synthetic data.

The solution is at the working demo (MVP) stage and has been delivered to the client. A pilot with real users is next.

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Honest about the status

What we don’t know yet

This is a working demo, not a finished rollout. There is no measured business impact from real use yet. In the pilot we will measure how many memos go out within 24 hours and how much time the sales reps save. We will publish the numbers when we have them.

Why don’t you name the client?

We work under an NDA. We show the process and our own measurements, without the client’s name, systems, staff or internal figures.

Can we see the demo?

Yes. In the demo we show the same flow on synthetic data.

Does it work with our SFA or CRM?

The document is uploaded via API or file exchange. We check your specific system during the analysis.

What is transcription?

Speech is turned into text automatically. Here it happens on a dedicated server.

Next step

Show us one process that slows you down

In the demo you see a working solution on synthetic data instead of a slide deck. Then you decide whether to move on to analysis and a pilot.