iGaming Growth Architect — Operations Diagnostics, AI Strategy & Data-Backed Game Decisions
Sergii Khlivnenko is an iGaming expert with 10 years inside studios and platform providers, having held Product Owner, Engineering Manager, Agile Coach, and PM roles (including at Playson, where he led 4 engineering teams and drove an agile transformation across 12 cross-functional teams). He now helps iGaming studio owners and CEOs eliminate operational bottlenecks, build AI systems with measurable ROI, and validate game concepts with market data — without the client adding full-time headcount. His work is backed by Consysteam (AI and operational systems) and Slotif.ai (market intelligence platform), which he founded to extend this practice.
EST 2018
SK, Bratiaslava
1 - 10 Employees
Sergii runs fixed-scope, fixed-price 4–6 week diagnostics that map where an iGaming studio loses time, money, and decision quality — using Jira data analysis, team interviews, pipeline metrics, and documentation audits. He brings 10 years inside iGaming studios and platform providers (Playson: Engineering Manager, Agile Coach, Product Owner) rather than generalist consulting frameworks, and offers ongoing strategic advisory on a monthly/quarterly retainer for studios that need senior decision support without a full-time hire.
Sergii runs fixed-scope, fixed-price consultancy engagements (4–6 weeks) for iGaming studios and platform providers — diagnosing where operations lose time, money, and decision quality using Jira data, team interviews, and pipeline metrics, then delivering a prioritized action plan with quantified ROI per lever.
Drawing on 10 years inside iGaming studios and platform providers (Product Owner, Engineering Manager, Agile Coach, and PM roles at Playson), Sergii advises studio owners and CEOs on process bottlenecks, AI system strategy, and game concept validation — available as a standalone diagnostic or an ongoing monthly/quarterly retainer.
Every engagement starts with evidence, not opinion — Jira exports, pipeline metrics, documentation audits, and market data (via Slotif.ai) inform process recommendations and concept-stage risk signals for game development, giving studios quantified savings estimates and go/no-go signals before committing budget.
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