Guardian
Protection Engine
Real-time AI-powered behavioural risk scoring, adaptive interventions, and financial vulnerability assessment. Built on hard-won lessons from Betfred’s £3.25m UKGC fine for social responsibility failures.
12.1m
Players Monitored
<200ms
Risk Scoring
94%
Detection Rate
Active Alerts
3
+1 today
Interventions (24h)
847
+12% vs avg
Self-Exclusions (7d)
234
-3% vs avg
GAMSTOP Syncs
12,847
Last sync: 2m ago
Live Player Risk Dashboard
Click any player to see their risk profile and intervention timeline
Active Player Monitoring
Sarah Mitchell
PL-2847291
Risk Score
Age
28
Tenure
2.1 years
24h Spend
£142
Avg Weekly
£35
Velocity
4.1x baseline
Game Type
Instant Win
Risk Distribution Across 12.1m Players
Why this module exists
The Problem
Betfred was fined £3.25m by the UKGC for failing to identify and interact with customers showing signs of problem gambling. Their systems relied on manual reviews and static thresholds that missed 67% of at-risk players.
Our Solution
Guardian uses SageMaker ML models trained on 50+ behavioural signals to score every player in real-time (<200ms). Risk scores are dynamic — they adapt to individual baselines, not population averages.
The Outcome
Projected 94% detection rate (vs. Betfred's 33%). Automated interventions reduce compliance workload by 60%. Full audit trail satisfies UKGC LCCP requirements.