- Case Studies
- Blaze Spins
Blaze Spins uses Source Code Lab’s AI to catch fraud in real time and run its casino around the clock
How a high-volume online casino and sportsbook put AI on guard against bonus abuse and collusion, gave its leaders a back office that answers to their voice, and covered a 15-person workload with 10 AI agents.
Book a strategy call| Free spins paused for 4 flagged accountsRequested by voice command | Done |
| Weekly risk summary, Fridays 8:00 AMScheduled report | Scheduled |
| Alert if bonus claims spike above normalCustom flag | Active |
In monthly bonuses guarded by an AI fraud agent that stops abuse before it pays out.
Given back to executives every week, with answers on demand instead of round-table meetings.
Tens of millions in monthly volume, a back office nobody could read and fraudsters testing every promotion.
Blaze Spins processes transactions worth tens of millions of US dollars every month. At that scale, every promotion is a target, every gap in visibility is a risk, and every new process seems to need another hire.
The leadership team was up against three challenges at once:
- Fraud and collusion hiding in the volume. Bonus abuse, linked accounts and coordinated play are nearly impossible to spot by hand across millions of transactions.
- A labyrinth instead of a dashboard. The casino admin panel spread critical data across endless screens, so senior executives couldn’t monitor their own platform without help.
- A lean team carrying a heavy load. Acquisition, retention, SEO, platform operations, cybersecurity and KYC would normally take a large team working in shifts.
Blaze Spins wanted protection that never blinks, visibility without the analyst queue and an operation that doesn’t scale its payroll with its player base.
“Every bonus we launched, someone was trying to game it. By the time we spotted a pattern in the reports, the money was already gone.”
A security-first AI stack that also runs the business.
“I don’t open the admin panel anymore. I tell the system what I want to know or change, and it’s done. The weekly meetings we used to need simply disappeared.”
Source Code Lab built Blaze Spins three AI layers, starting with protection. Each one works on top of the existing casino and sportsbook platform, and leadership keeps control of every rule, threshold and alert.
Reinforcement learning fraud agent
- Learns from every transaction and gets sharper over time
- Uncovers bonus abuse, linked accounts and collusion patterns
- Flags the accounts involved and suspends them in an instant, before bonuses are paid out
Conversational AI for leadership
- A detailed ontology of Blaze Spins’ data for accurate answers
- Voice or text questions, answered in seconds
- Custom flags and alerts for any scenario
- Reports delivered at the frequency each executive chooses
- Platform changes made by voice or with a few taps
10 multi-stack AI agents
- Acquisition agents to bring in new players
- Retention agents to keep them playing
- SEO agents to grow organic reach
- Platform ops agents to keep everything running
- Cybersecurity and KYC agents to keep it safe and compliant
All three layers work around the clock, 365 days a year. The fraud agent watches, the conversational AI reports and the operating agents execute, while people decide the rules.
Safer promotions, faster decisions and a leaner cost base.
Blaze Spins now catches abuse as it happens, its leaders get answers without waiting on analysts, and its operations run without a large team behind them. Here is what the business no longer has to pay for:
| What the business no longer pays for | Covered by | Saving |
|---|---|---|
| A 15-person operations team | 10 AI agents working 24/7 | $750K+ / yr |
| Data analysts for executive reporting | Conversational AI | $60K+ each / yr |
| BI subscriptions such as Power BI or Tableau | No dashboards to license | $7.5K+ / yr |
Abuse stopped before payout
The fraud agent flags and suspends suspicious accounts instantly, protecting a bonus budget of at least $50,000 a month.
Leaders run the platform by voice
Executives ask, alert and act directly, saving 12 to 14 hours a week once spent in meetings with analysts and department heads.
A full team’s output, without the payroll
10 AI agents handle acquisition, retention, SEO, ops, security and KYC, saving at least $750,000 a year.
No BI stack to maintain
Answers come straight from the conversational AI, avoiding $7,500+ a year in BI tools and $60,000+ per analyst.
“Our promotions finally reach real players, not fraud rings. Source Code Lab gave us security that never sleeps and a business we can steer just by asking.”
See what yours could look like.
Book a 30-minute call and we’ll show you where AI could stop bonus abuse, cut reporting time and lighten the workload on your casino or sportsbook.
Book a strategy call