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

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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