Case Study (Anonymized)
Unified Fraud Prevention: Achieving a 32× ROI
Challenge
The operator faced rising loss exposure from coordinated abuse: bonus exploitation, multi-account behavior, suspicious payment patterns, and partner-driven low-quality traffic. Reviews were manual, inconsistent across shifts, and often happened after losses were already realized.
Results
Achieved a 32× ROI through reduced fraud losses and controlled incentive leakage
Faster, more consistent investigations with clear evidence and AI summaries
Stronger control over partner-driven risk by detecting abnormal cohorts early
What Kavya did
Book DemoDeployed Fraud Prevention with Kavya AI signals across payments, bonuses, gameplay patterns, and acquisition sources
Enabled player-level investigations through Player 360-style risk views to standardize reviews and speed decisions
Built a unified Risk & Fraud dashboard to track exposure, recurring patterns, and trend movement over time
Activated Incident Hub to automatically create incident cards for fraud spikes and route ownership via Team Studio
Enabled real-time escalation with Kavya Alerts to Slack/Telegram/WhatsApp for high-impact cases
Key takeaway
Fraud prevention becomes profitable when it’s unified, measurable, and operational—Kavya turns scattered signals into clear detection, structured investigation, and fast execution.