Case study · Slots game studio · 2025
PixelGrid Games
Slots studio goes AI-native, design-first.
A 120-person slots studio with 60+ titles across 12 jurisdictions embedded AI across game design ops, math validation, and operator support — lab certification process unchanged.
At a glance
- 120Headcount
- 4 weeksEngagement
- 8Pioneers
- 60+Titles
- 12Jurisdictions
The brief
AI inside the design loop, not around the certification process.
Cohort
- C-level (CEO, CCO)2
- Heads of Department4
- AI pioneers8
Drawn from Game Design, Math, Tech, and Account Management — the four functions where studio output meets operator demand.
What the pioneers shipped
Five workflows that designers and ops actually use.
Math model validator
Sanity-checks RTP and volatility against design intent before a build goes to lab.
Operator integration copilot
Drafts integration QA checklists per operator's spec; account manager signs off.
Marketing asset generator
Drafts launch assets within brand consistency rules per title.
Tournament setup agent
Assembles tournament configs from operator briefs; LiveOps signs off before launch.
Crash analysis for live games
Categorises live-build incidents, drafts root-cause notes for engineering.
“Faster design, faster ops — same lab certification, untouched.”
Approach
Four weeks. Math validation untouched.
Discover
Mapped game pipeline from design brief to lab cert. Identified where AI assists design vs. where math integrity must remain human-authored.
Build
Pioneers built first cuts. Math team kept full control over RTP/volatility models — agents check, don't change.
Math validation
Three demos with Head of Math and lab QA. Every math-touching skill independently verified.
Compound
Skills shipped to studio marketplace. New titles inherit the validated patterns from week one.
Impact · Year one
Outcomes leadership signed off on.
Annual savings
€960K
Across the engagement's first twelve months.
FTE optimized
8
Full-time equivalents freed for higher-leverage work.
Business satisfaction
9.3 / 10
Post-engagement leadership review.
Why it didn't go off the rails
Lab certification is non-negotiable.
Lab-certification process unchanged
Every build still goes through certification labs the same way. AI accelerates the run-up, not the gate.
No auto-deploy to production
Agents draft integration changes; release engineers ship.
Every math change reviewed
Math team reviews every model output that touches RTP or volatility. No exceptions.
Audit trail per title
Each title carries the agent log, math-team sign-off, and lab certification — three independent records.
Where to start
Book an org assessment.
Ninety minutes, no slides.
We'll spend an hour with your leadership team mapping where AI creates the most leverage in your operation — and what an overlay would look like in practice.