Case study · Live dealer studio · 2025
TableStudio Live
Live dealer studio goes AI-native, without disrupting the table.
A 350-person studio operator with four physical studios embedded AI across stream ops, dealer scheduling, and player experience — three weeks, zero stream downtime.
At a glance
- 350Headcount
- 3 weeksEngagement
- 10Pioneers
- 4Studios
- 24/7Streams
The brief
AI in the back-room, dealers untouched on the table.
Cohort
- C-level (CEO, COO)2
- Heads of Department5
- AI pioneers10
Drawn from Studio Ops, Dealer Management, Tech, Player Experience, and BI — the operational layer around the live tables.
What the pioneers shipped
Five back-of-house workflows.
Studio incident triage
Flags audio/video issues across streams, drafts engineer dispatch with playback timestamp.
Dealer schedule optimization
Suggests shift patterns based on table demand and dealer availability — manager signs off.
Player-experience anomaly detection
Watches per-table latency and engagement signals; flags drops before players churn.
Game-by-game performance summaries
Daily summaries per table per studio, drafted before morning ops review.
Compliance audit prep agent
Assembles audit evidence per stream — recordings, integrity logs, dealer movements.
“We touched everything around the table. Nothing on the table.”
Approach
Three weeks. Four studios. Zero stream downtime.
Discover
Mapped studio operations, dealer protocols, stream pipeline. Identified what could be augmented vs. what is dealer judgement.
Build
Pioneers built first cuts in their function. Studio managers tested in shadow mode without changing live operations.
Studio validation
Three demos with studio managers and compliance. Anything risking stream stability was redesigned.
Compound
Skills rolled out to the four studios; insights from one studio install one click in the others.
Impact · Year one
Outcomes leadership signed off on.
Annual savings
€2.4M
Across the engagement's first twelve months.
FTE optimized
16
Full-time equivalents freed for higher-leverage work.
Business satisfaction
9.2 / 10
Post-engagement leadership review.
Why it didn't go off the rails
The table is sacred.
No automated dealer actions
Dealers run the game. AI only assists the operations layer around them.
Human approval on shift changes
Schedule suggestions reviewed by studio managers before any dealer is rebooked.
Audit trail per stream
Every agent action logged against the relevant stream and time-stamped to compliance recordings.
Regulator-aware metrics
Same operational view in different jurisdictions — same numbers, same evidence.
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.