Case study · Esports betting · 2025
FrameBet
Esports book goes AI-native, market-aware.
A 90-person esports betting specialist across eight titles embedded AI across odds, market lifecycle, and anti-fraud — three weeks, full integrity story preserved.
At a glance
- 90Headcount
- 3 weeksEngagement
- 8Pioneers
- 8Titles
- 600+Markets/day
The brief
AI inside the trading and integrity loop.
Cohort
- C-level (CEO, CTO)2
- Heads of Department4
- AI pioneers8
Drawn from Trading, Risk, Tech, and Compliance — covering eight titles from CS2 to Dota 2 to Mobile Legends.
What the pioneers shipped
Five workflows that traders and integrity actually use.
Match-data ingest agent
Pulls live match state from each title's data feed; normalises into the trading platform's schema.
Odds-compilation copilot
Suggests opening lines per market with rationale; trader signs every market.
Suspicious betting pattern
Surfaces unusual stake patterns across markets; integrity team owns the response.
Match-fixing alert investigation
Pulls match context, betting history, and similar past cases into one analyst digest.
Customer support categorization
Routes player queries by title and market type; complex disputes escalated with context.
“Same trader sign-off. Same integrity reviews. Faster everything in between.”
Approach
Three weeks. Eight titles. Trader sign-off on every market.
Discover
Mapped trading workflow, integrity gates, and per-title data feeds. Identified what AI could draft vs. what trader judgement owns.
Build
Pioneers built first cuts. Trading desk and integrity team challenged each model with adversarial cases.
Integrity audit
Three demos with Head of Compliance and integrity officer. Anything that risked the integrity story was redesigned.
Compound
Skills shipped to internal marketplace. New title support reuses validated patterns.
Impact · Year one
Outcomes leadership signed off on.
Annual savings
€520K
Across the engagement's first twelve months.
FTE optimized
6
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
Trader sign-off. Integrity review. No exceptions.
Trader sign-off on every market
Agent suggests; trader signs. No automated market openings or line moves on live events.
Integrity review on suspicious cases
Suspicious-betting alerts always escalate to a human. AI assembles the dossier; integrity decides.
Audit trail per market
Every odds change carries agent log, trader note, and integrity context — available to regulators on request.
Jurisdiction logging
Same query in different jurisdictions returns the same documented answer.
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.