Case study · Casino operator · 2025
NovaCasino Group
Online casino goes AI-native, RG-first, slot-by-slot.
Eight brands across multiple markets embedded AI across game lobby, RG, VIP, and payments — without weakening responsible-gambling controls.
At a glance
- 300Headcount
- 4 weeksEngagement
- 15Pioneers
- 8Brands
- 4RG sign-offs
The brief
AI rollout where every player-facing skill passes RG first.
Cohort
- C-level (CEO, COO)2
- Heads of Department7
- AI pioneers15
Drawn from Casino Ops, RG, Payments, CRM, BI, Engineering, and Compliance — RG sat at the design table, not just the audit table.
What the pioneers shipped
Five workflows, RG-reviewed before launch.
Lobby personalisation drafts
Agent proposes per-player game ordering. RG team approves before any deployment.
VIP host morning brief
Daily briefing per host with recent activity, RG flags, and retention signals — assembled before stand-up.
Bonus-abuse detection
Flags multi-account bonus abuse and coordinated patterns across the eight brands.
Payment failure root-cause
Categorises failures across PSPs, drafts player-friendly messaging — payments analyst signs off.
Retention experiment generator
Drafts cohort experiments from CRM data; nothing reaches a player until product reviews and RG signs.
“RG at the table from week one — not the audit two months later.”
Approach
Four weeks. Four RG sign-offs. One marketplace.
Discover
Mapped the eight-brand stack, RG controls, and bonus mechanics. RG team co-defined what could be drafted by agents and what required human judgement end-to-end.
Build
Pioneers shipped first cuts. Every player-facing flow paired with RG before going to staging — not after.
RG sign-off
Three demos with Head of RG and licence officers from each market. Anything unaligned with RG controls was redesigned, not deployed.
Compound
Skills shipped to internal marketplace. A win at one brand lifts the others — without leaking data between licences.
Impact · Year one
Outcomes leadership signed off on.
Annual savings
€2.8M
Across the engagement's first twelve months.
FTE optimized
22
Full-time equivalents freed for higher-leverage work.
Business satisfaction
9.5 / 10
Post-engagement leadership review.
Why it didn't go off the rails
RG has veto on player-facing skills.
RG veto on every player-facing flow
Every skill that touches a player goes through RG. Not product. Not engineering. RG.
No automated VIP outreach
Agents draft VIP comms. Hosts send. Especially if any RG flag is on the player file.
Bonus models gated by abuse detection
Bonus-targeting agents only fire after the abuse-pattern check clears.
Cross-brand data isolation
No leakage between licensed entities. Each agent runs scoped to one brand or aggregates with PII stripped.
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.