Custom AI for iGaming

Intelligence built into your stack.

Knowledge bases, development pipelines, data intelligence — AI systems that run inside the tools your team already uses. No SaaS. No vendor lock-in.

We also build for other operationally complex, regulated industries — financial services, immigration & relocation services, and similar.

Why It Matters

iGaming Providers Move Fast. Their Internal Systems Don't.

Your team is shipping games, integrating APIs, and managing complex pipelines — while half the knowledge lives in someone's head, documentation is three versions behind, and every new hire takes months to get up to speed.

Meanwhile, enterprise AI vendors want six months and a six-figure budget to solve problems you need fixed next quarter. We build differently.

What We Build

AI That Fits How iGaming Teams Actually Work

01 · AI Knowledge Base & RAG Systems

Turn your Google Drive, Confluence, or internal docs into a searchable AI brain. Your team asks questions in Slack — the system answers in seconds, with citations, from your actual documentation. Built on RAG architecture, integrated into your existing tools. Learn more →

02 · AI Integration for Game Development Pipelines

We embed AI agents into your project management and development workflow — from asset integration to release coordination. Fewer manual handoffs, faster time-to-market, senior developers focused on creative work. Learn more →

03 · Game Data Intelligence & Concept Risk

Before you commit a full development cycle to a new slot concept, know whether the market data supports it. Custom scrapers and prediction models give your product team risk signals at the concept stage, not after launch. Learn more →

Integrations

Built into your existing stack

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Calendar
ChatGPT
Confluence
AWS
Claude
Django
Docker
Gemini
Drive
GitHub
Gmail
Google Cloud
GitLab
Google Docs
Jira
n8n
Python
Railway
Sheets
Slack
Slides
YouTube
Telegram
Trello
Calendar
ChatGPT
Confluence
AWS
Claude
Django
Docker
Gemini
Drive
GitHub
Gmail
Google Cloud
GitLab
Google Docs
Jira
n8n
Python
Railway
Sheets
Slack
Slides
YouTube
Telegram
Trello

Trusted by iGaming studios, financial services, and complex operations teams across Europe

Case Studies

Real Projects. Real Code. Real Results.

RAG Chatbot Answering Questions from 200 Internal Documents

A client-facing support team spent hours searching Google Drive for answers that existed somewhere — but nobody knew where. We built a RAG-powered Slack bot trained on 200+ internal docs. Now the team gets accurate, cited answers in seconds. ✓ 200+ docs indexed ✓ Integrated into Slack ✓ Zero workflow disruption

In Development

AI Agent for Complex Asset Pipelines

Asset-heavy teams lose time when handoffs, delivery checks, and project updates live across separate tools. We are developing an AI agent pattern that connects those steps, surfaces blockers, and keeps work moving. ✓ Custom workflow logic ✓ Integrates with existing tools ✓ In development

Built for Our Own Platform

We needed a way to evaluate slot concepts against live market data before committing a full development cycle, so we built it. This engine now runs Slotif.ai. ✓ Automated market data pipeline ✓ Risk scoring at concept stage ✓ Live product, available to explore

Why CONSYSTEAM

Built by Operators. Delivered by Engineers.

Built for Complex Operations, Not Generic Automation

We don't retrofit general AI tools into your workflow. iGaming is where we go deepest — complex pipelines, fast release cycles, compliance-sensitive data — and the same instincts apply anywhere operations are regulated and fast-moving: financial services, immigration and relocation services, and similar.

Custom Systems, Fully Handed Over

Everything we build lives in your infrastructure and is documented for your team, with a perpetual licence to use and modify it. No SaaS dependency. No "you need us to change it." You stay in control.

EU-Based. GDPR-Native.

Registered in Slovakia, working across European iGaming markets. Data handling and system architecture designed with EU compliance in mind from day one.

Sergii Khlivnenko

Sergii Khlivnenko

MBA in AI · Founder

The Team

Led by Someone Who's Run iGaming Operations

Sergii Khlivnenko — MBA in AI. Operational lead across 15+ tech and iGaming teams. CONSYSTEAM was built because he saw too many providers make the same mistake: hiring expensive consultants who advise without building, or buying enterprise tools that don't fit.

The approach here is different: we scope it, we build it, we hand it over.

Follow me on LinkedIn ↗
Pricing

Cheaper Than a Bad Hire. Faster Than an Enterprise Vendor.

AI Audit

30 minutes. No pitch, no pressure. Just a concrete map.

Free
Book the Auditicon
  • Review of your current tools, team structure, and biggest bottlenecks
  • Highest-impact AI opportunity identified
  • Concrete build estimate and next steps
  • No commitment to work with us afterwards

Hourly

Done with you. Hands-on expert support on a tight scope — right away.

150 /hr
shape
Start Hourlyicon
  • On-demand, as-needed billing — no long-term commitment
  • Build side-by-side with a hand-picked engineer on live, recorded calls
  • Every call and transcript kept in your client portal
  • Bring anyone on your team into the sessions

Monthly

Full service. We own the complete build lifecycle — discovery to maintenance.

8990 /mo
Start Monthlyicon
  • A dedicated strategist and engineer on your roadmap
  • Proactive partnership at every phase, with quick POCs for new ideas
  • Enterprise-grade tooling, automation monitoring and meeting summaries
  • Pause or adjust monthly as priorities shift
FAQ

Frequently asked questions

We review your current tools, team structure, and biggest bottlenecks. You leave with a concrete map of where AI delivers the fastest ROI — and what it would actually take to build it. No pitch, no pressure.

Book a Call

Book a Free 30-Minute AI Audit

Pick a time that works for you. We'll map where AI fits in your stack — no pitch, no pressure. You'll get a Google Meet invite by email.

  • 30 minutes, on a Google Meet call
  • A concrete map of where AI fits
  • No pitch, no commitment
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See what we built. Then decide if it fits.

RAG knowledge systems
AI workflow automation
Real systems inside existing teams.
No concept decks.