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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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AI Strategy for iGaming Operations

AI Strategy for iGaming Operations — Sergii Khlivnenko
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Sergii identifies where AI delivers real ROI in an iGaming workflow — not where it's trendy. Knowledge bases that answer team questions in seconds. Development pipelines that flag blockers before they become delays. Data intelligence that validates game concepts before a studio commits budget to a full production cycle.

All systems are built through Consysteam, handed over fully documented, with no vendor lock-in. The studio owns the infrastructure and can run it independently. Live systems include a RAG knowledge bot with 200+ docs indexed and an AI agent embedded directly in an iGaming studio's asset pipeline.

Specialization & Working Process

The AI implementation engagement begins with a focused audit of the studio's current workflow to find automation leverage points. Sergii then designs and builds the solution — through Consysteam — with full documentation and team handover. Typical scope: 6–10 weeks. Deliverables include a working system, runbook, and training session for the internal team. No ongoing dependency on external vendors is introduced.

AI Strategy for iGaming Operations — overview

Questions ? You're Covered

How quickly can you start?

What does a Diagnostic Sprint include?

Do you work remotely with international teams?

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