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.
The Real Problem
You've shipped games, grown the team, and expanded markets. But somewhere along the way, decisions started taking longer, new hires take months to ramp up, and nobody has a clear picture of what's actually slowing you down.
Enterprise consultants want six months and a six-figure budget. Freelancers solve tasks, not systems.
There's a different way.
Sergii Khlivnenko helps iGaming studio owners and CEOs eliminate operational chaos, build processes that scale, and make data-backed decisions — without adding headcount or waiting for a full-time hire.
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.
Sergii spent 10 years at Playson across four progressive roles. As Engineering Manager (2017–2022), he led 4 teams of 20 engineers and delivered a major portion of Playson's 40+ game portfolio. As Agile Coach (2022–2024), he drove company-wide transformation across 12 cross-functional teams and 5 departments. As xPlatform Product Owner (2024–2025), he owned the backlog for a 7,000 tps platform achieving 99.9% reliability and <200ms latency.
Engineering Manager → Agile Coach → Product Owner
Founder & Product Manager
Founder — Bratislava, Slovakia
Master of Business Administration with a specialisation in Artificial Intelligence and Data Analytics. Provided the analytical and strategic foundation that Sergii applies across iGaming operations diagnostics, AI system design, and market intelligence work.
Kyiv School of Economics
EU & Industry Bodies · Anthropic
Vinnytsia National Technical University
Coached 12 cross-functional teams and 5 departments at Playson. PO, EM, Agile Coach, and PM roles held simultaneously across 10+ years.
| Key Results | ||
| 40% Faster Time-to-Market | Business Process Diagnostic · iGaming Studio | 2024 |
| RAG Bot · 200+ Internal Docs Indexed | AI Implementation · Slack Integration | 2024 |
| Consysteam & Slotif.ai Founded | Bratislava, Slovakia · Custom AI for iGaming | 2023 |
| 10+ iGaming Engagements | Operations & AI · EU-wide · Since 2023 | 2023 |
Complete Portfolio
Case Studies
Process Optimization · iGaming Studio
A game studio's development cycle was slowed by sequential handoffs,
late-stage QA bottlenecks, and zombie sprints that consumed capacity
without output.
Six-week diagnostic using Jira data analysis, complexity-adjusted
TTM metrics, and embedded QA redesign identified five process levers
with a combined savings potential of 15–35% cycle time reduction.
Full case study available autumn 2026. Book a session to discuss →
AI Implementation · Knowledge Management
An iGaming provider's team spent hours searching Google Drive for
answers that existed somewhere — but nobody knew exactly where.
Built a RAG-powered Slack bot trained on 200+ internal docs.
The team now gets accurate, cited answers in seconds without
leaving their workflow.
What Sergii Does
Sergii builds AI systems that deliver measurable ROI in iGaming operations — RAG knowledge bots, pipeline automation, and data intelligence tools — all handed over documented with no vendor lock-in.
Sergii identifies where an iGaming studio loses time, money, and decision quality — using Jira data, team interviews, and pipeline metrics to surface real bottlenecks.
Sergii combines Slotif.ai market analytics with studio pipeline data to give product teams concept-stage risk signals — before a development budget is committed.
Sergii acts as a fractional senior operational advisor — available on a monthly or quarterly retainer for studios that need senior decision support without a full-time hire.
The Diagnostic is a fixed-scope, fixed-price 4–6 week engagement that maps an iGaming studio's operation and delivers a prioritized action plan with quantified ROI estimates per lever.
What I Do
Not advisory decks. Not generic frameworks. Custom diagnostics and working systems — built around your actual operation.
01 · Diagnose
I map where your 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 — I identify the real bottlenecks, not the obvious ones.
Deliverable: a prioritized action plan with conservative and upper savings estimates per lever. You know exactly what to fix first and what ROI to expect.
↳ Recent result: iGaming studio reduced time-to-market by 40% across a 5-game pipeline after a 6-week diagnostic engagement
Learn more02 · Automate
I identify where AI delivers real ROI in your 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 you commit.
Built with Consysteam. Handed over documented. No vendor lock-in.
↳ Live systems: RAG knowledge bot (200+ docs indexed), AI agent embedded in an iGaming studio's asset pipeline
Learn more03 · Predict
Before you commit a full development cycle, know whether the market supports it. I combine iGaming market analytics (powered by Slotif.ai) with your internal pipeline data to give your product team risk signals at the concept stage — not after launch.
↳ Live system: parsing game metadata across providers to flag concept risks and identify profitable niches early
Explore Slotif.aiSergii's Engagement Approach
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
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
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
Why Work With Me
10 years at the intersection of Product, Engineering, Agile, and Project Management — inside iGaming. I know the pipeline, the compliance pressures, the fast-release culture, and the specific failure modes your team faces.
Most advisors optimize one layer. I see the full cycle: from concept validation and roadmap prioritization to team structure, development pipeline, and release coordination. That's where the real leverage is.
Every engagement starts with evidence — Jira exports, pipeline metrics, documentation audits, and market data from Slotif.ai. Recommendations are backed by numbers, not gut feeling.
I don't hand over a deck and leave. For AI and automation work, I build through Consysteam — systems are documented and handed over to your team. You own everything.