Until now, there has been no comprehensive solution on the market that would allow a developer to move from process audit to the launch of AI pilots with proven business efficiency. We analyzed hundreds of AI-powered digital solutions and concluded that 80% of the potential impact comes from ten use cases. Our new product focuses on these use cases and enables developers to launch pilot projects with measurable business impact within a 6–12 month horizon. In addition, it addresses the systemic problem of unprepared processes and data, making AI implementation predictable and measurable
Alexander Lukyanov, CEO of DOM.RF Technologies
DOM.RF Technologies is the IT company of the financial development institution in the housing sector, the owner of unique datasets on the housing market, the creator and aggregator of AI-powered digital services, a driver of industry-wide artificial intelligence adoption, and the author of digital transformation methodologies for developers. Yakov & Partners, in turn, acts as a consultant to the largest market players on strategy and transformation, with access to international expertise, and is also the author of the “AI in Real Estate” study, which analyzed more than 500 AI use cases.According to our estimates, end-to-end implementation of artificial intelligence in Russian real estate development could generate around RUB 0.9 trillion annually. Although most companies report a positive effect from pilots, only one in five is able to quantify it, and fewer than 10% of players manage to scale solutions. This situation shows that the key challenge today is not the availability of technologies, but the ability to integrate AI into business processes, data, and project economics. Only with this approach is it possible to assess the potential and readiness of processes, launch pilots with clear economics and measurable impact, reduce risks, and accelerate the transition from experiments to practical results
Anna Danchenok, Partner at Yakov & Partners and Head of the Real Estate and Territorial Development Practice