Sergii Khlivnenko has spent 10 years building and managing product and engineering teams in iGaming — across studios, platform providers, and high-growth operators. He has held PO, EM, Agile Coach, and PM roles, often simultaneously. In 2023, he founded Consysteam (Bratislava, Slovakia) to bring custom AI and operational systems to iGaming providers who have outgrown generic solutions. He also built Slotif.ai — a market intelligence platform that gives product teams risk signals at the concept stage, before launch.
Most iGaming studios validate a game concept the wrong way: by playing competitor games, looking at provider catalogues, and relying on the producer's instincts. This process takes weeks and produces opinions — not evidence. By the time a concept enters development, the studio has already committed to a direction based on incomplete market intelligence.
The shift Sergii advocates — and that Slotifai is built to enable — is moving concept validation upstream. Before a sprint is planned, a studio should know: how saturated is this mechanic in the current market? What providers are winning in this theme? What feature combinations correlate with high player retention historically? These are data questions, and they have data answers.
Studios don't fail because they build bad games. They fail because they build the wrong games — games the market didn't need at that moment.
Sergii KhlivnenkoAt ICE Barcelona 2026, Sergii presented Slotifai's approach to dozens of Product Owners. The feedback was consistent: the problem is real, the existing tools are insufficient, and the appetite for data-backed concept validation is high. Studios that adopt this approach before their competitors will have a measurable advantage in R&D efficiency.
The shift Sergii advocates — and that Slotifai is built to enable — is moving concept validation upstream. Before a sprint is planned, a studio should know: how saturated is this mechanic in the current market? What providers are winning in this theme? What feature combinations correlate with high player retention historically? These are data questions, and they have data answers.