What does it take to build AI that works in real business environments?

In the latest episode of The Nearshore Cafe, Oleg Baranov, Founder & CEO of Flametree, talks about the path that led to Flametree — from building core banking software and scaling a services company...

What does it take to build AI that works in real business environments?

In the latest episode of The Nearshore Cafe, Oleg Baranov, Founder & CEO of Flametree, talks about the path that led to Flametree — from building core banking software and scaling a services company from 9 to 1,500 engineers, to creating an agentic AI platform for customer communication.

A few points from the conversation:

  • AI agents are most valuable in high-frequency communication scenarios
  • one-time setup is not enough — performance improves through continuous iteration
  • the real opportunity is not “AI for everything,” but AI for clear business tasks
  • in banking and other customer-facing industries, AI can support customer service, onboarding, collections, cross-sell, and more
  • strong execution matters as much as the technology itself

One line from the episode captures our approach especially well: the goal is not just to give companies an AI agent, but to provide a platform for continuous agent improvement.

That is how we think about AI at Flametree — not as a one-off deployment, but as an operating layer for scalable customer communication.

The link to the full episode

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