For insurers, one of the greatest challenges in claims management is that fraudulent claims often appear legitimate at first glance. High-value losses, detailed explanations, and timely submissions can create a convincing picture of authenticity. This is where artificial intelligence (AI) makes the difference. By analyzing patterns, context, and subtle inconsistencies that humans may miss, Shift’s AI helps insurers uncover suspicious claims before they result in costly payouts.
Shift’s AI didn’t just flag a single anomaly—it connected multiple suspicious patterns that, when viewed together, strongly suggested the claim wasn’t genuine. Within minutes, the AI surfaced red flags that could easily have been overlooked in a manual review.
By synthesizing these insights alongside other contextual data, the AI automatically triggered an alert for further review. This early detection enabled the insurer to focus investigative resources on the claim before making a costly payout.
This video is part of a series of interesting cases presented by our insurance-focused team of data scientists. For more examples of Shift Technology's AI-driven results, browse the AI in Action library.