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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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4–6 Week Engagement

4–6 Week Engagement — Sergii Khlivnenko
About Business Branding Service

The Diagnostic is Sergii's core offering: a structured 4–6 week engagement that maps an iGaming studio's operation end-to-end and identifies the top levers for improvement. Fixed scope, fixed price — no open-ended consulting that stretches without a defined output.

Every Diagnostic covers the full production cycle: concept approval, sprint planning, development pipeline, QA, certification, and release coordination. The output is a prioritized action plan with ROI estimates per lever — so studio leadership can make an informed decision about where to invest next.

Specialization & Working Process

The Diagnostic follows a defined methodology: week 1–2 covers data collection (Jira exports, documentation audit, pipeline metrics review); week 3–4 covers structured team interviews and external benchmarking; week 5–6 covers analysis, validation, and delivery. Sergii presents the findings directly to the studio owner or CEO with a written report. No junior consultants handle the work. No findings are reported without quantified evidence behind them.

4–6 Week Engagement — overview

Questions ? You're Covered

How quickly can you start?

What does a Diagnostic Sprint include?

Do you work remotely with international teams?

4–6 Week Engagement — 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