Artificial intelligence in business: what actually works, with Dima Korobtsev
No Bullsh!t, March 14, 2025, 80 min, 238 views. Sergey Kuznetsov talks with Dima Korobtsev, who spent more than fifteen years selling technology products and building teams at several large vendors and now runs his own practice and company.
| Published | |
|---|---|
| Length | 80 min |
| Views on YouTube | 238 |
| Language of the episode | Russian |
| Where to watch and listen | YouTube, Spotify, Telegram |
Date, length and view count according to data from the episode page on YouTube, as of the page update date shown in the footer.
In short
The first part of the conversation is personal: disillusionment with the corporate environment, the role of partnership in business and the importance of open dialogue with partners, and the transition from employment into his own practice with the help of an outside consultant, which produced a clear personal strategy and annual goal planning. The second and main part is about the practical use of artificial intelligence in sales: transcribing and summarising meetings, annual reviews of client work, full coverage analytics of calls, and what has changed now that testing a hypothesis no longer needs a development team.
Key ideas
- Full coverage analytics of calls through AI removes the human factor: quality used to be reviewed by a small team that physically could not listen to everything.
- Transcription and automatic summaries of meetings save around one to two hours a day and remove the risk of losing details across four or five dense client calls in a row.
- In one case the cause of a cash gap turned out to be not a lack of demand but a lack of reasons to call the client: personalised digests restored the rhythm of contact.
- In a lending case, automating approval of small amounts without a human in the loop, within what regulation allows, halved the cost of the process.
- The cost of building AI features has fallen sharply: what used to need a full development team to test can now be tested in days.
- In outreach an AI chain now covers almost the whole process: collecting and verifying the list, choosing a strategy by trigger, working across channels and prioritising contacts.
The full transcript
The episode is recorded in Russian, and the full transcript of the conversation is on the Russian page of this episode. English and Spanish subtitles for the strongest episodes are rolling out on YouTube in waves.
Open the transcript