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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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Business Process Diagnostic

Business Process Diagnostic — Sergii Khlivnenko
About Business Branding Service

Sergii maps where an operation loses time, money, and decision quality. Using six layers of evidence — Jira data, team interviews, pipeline metrics, documentation audit, workflow analysis, and external benchmarks — he identifies the real bottlenecks, not the obvious ones.

The deliverable is a prioritized action plan with conservative and upper savings estimates per lever. Studio owners know exactly what to fix first and what ROI to expect — with no ambiguity about where to start.

Specialization & Working Process

The diagnostic runs over 4–6 weeks with a fixed scope and fixed price. It covers the full production cycle: from concept approval and sprint planning through development, QA, certification, and release. Every recommendation is backed by quantified evidence — not consultant intuition. Recent result: an iGaming studio reduced time-to-market by 40% across a 5-game pipeline after a 6-week engagement. Five process levers were identified with a combined savings potential of 15–35% cycle time reduction.

Business Process Diagnostic — overview

Questions ? You're Covered

How quickly can you start?

What does a Diagnostic Sprint include?

Do you work remotely with international teams?

Business Process Diagnostic — 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