How Artificial Intelligence Increases Business Revenue: The Experience of Dmitry Kotov
About this publication
TechBullion publishes an in-depth feature on Dmitry Kotov's methodology for using artificial intelligence to drive measurable business revenue growth. The article covers specific strategies including AI-powered lead qualification, automated customer engagement, and intelligent sales pipeline optimization.
Dmitry Kotov's role
Dmitry Kotov shares his direct experience implementing AI systems that generated quantifiable revenue increases for businesses, positioning him as a practitioner rather than theorist in the AI business space.
Background
TechBullion covers financial technology and business innovation for an audience of founders, operators, and investors. Its pieces tend to be practitioner-oriented — what a technology does to a P&L rather than how it works — which is the register this article is written in.
The argument concerns AI as a revenue mechanism rather than a cost-reduction one. That distinction is the substance: automation that removes hours from a back office produces savings that are real but bounded, while automation applied at the point of customer contact — a call answered, an enquiry qualified, a follow-up sent — changes how much business a company captures in the first place. The systems described elsewhere on this site sit deliberately on the revenue side of that line.
Originally published on techbullion.com in English.
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