ALEXANDER
KOLTSOV
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AI · Case study

AI-Enabled Vertical Product Development

Alexander developed proprietary product initiatives for three specialised markets: Gertruda for construction, Proektant for engineering and design professionals, and an AI Real Estate Selection Agent for property agencies.

The starting point

Business challenge

Domain-specific work depended on fragmented tools, specialist knowledge, and repeated human analysis. Turning a sector problem into a digital product required simultaneous control of customer discovery, process design, product economics, technical architecture, and delivery.

Alexander’s role

Work and solution

Alexander led the initiatives as an entrepreneur and product owner, applying industry discovery, requirements analysis, product and unit-economics thinking, workflow design, architecture, prototyping, AI-assisted development, testing, and iteration. For the real-estate initiative, he designed an AI agent around property-selection work rather than a generic conversational assistant.

What changed

Project result

The initiatives converted industry-specific knowledge into structured product concepts and working development tracks with defined users, workflows, and technical directions.

Business effect

What the work made possible

Shortened the path from domain problem to testable digital solution, made specialist workflows more explicit and repeatable, and created reusable product assets with the potential to scale beyond one-off consulting delivery.

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