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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.

address Bratislava, Slovakia · EU-wide
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Data-Backed Game Strategy

Data-Backed Game Strategy — Sergii Khlivnenko
About Business Branding Service

Before a studio commits a full development cycle, Sergii helps the product team know whether the market supports it. He combines iGaming market analytics (powered by Slotif.ai) with the studio's internal pipeline data to deliver risk signals at the concept stage — not after launch.

The live system parses game metadata across providers to flag concept risks and identify profitable niches early. This gives product leads a quantified view of market saturation, feature gaps, and provider positioning before a single sprint is planned.

Specialization & Working Process

The market intelligence engagement is delivered as a structured concept review: Sergii runs the target concept through the Slotif.ai analytics layer and cross-references it with the studio's recent pipeline performance. Output is a structured risk report with go/no-go signals and alternative positioning recommendations. Can be run standalone or as part of a broader diagnostic engagement. Typical turnaround: 2 weeks from data access to report.

Data-Backed Game Strategy — overview

Questions ? You're Covered

How quickly can you start?

What does a Diagnostic Sprint include?

Do you work remotely with international teams?

Data-Backed Game Strategy — contact Sergii Khlivnenko Contact Me

Sergii's Engagement Approach

Diagnose · Automate · Predict

01

Sergii maps where an iGaming operation loses time, money, and decision quality — using six layers of evidence to surface the real bottlenecks.

  • Jira data analysis and pipeline metrics

  • Team interviews and documentation audit

  • Prioritized action plan with ROI estimates per lever

02

Sergii identifies where AI delivers real ROI in a studio's workflow and builds the system — through Consysteam — handed over documented with no vendor lock-in.

  • Knowledge bases and RAG bots for team Q&A

  • AI agents embedded in asset pipelines

  • Full documentation and team handover on delivery

03

Before a studio commits a full dev cycle, Sergii combines Slotif.ai market analytics with internal pipeline data to deliver concept-stage risk signals.

  • Game metadata parsed across providers

  • Concept risk report with go/no-go signals

  • Alternative positioning recommendations included