Reducing Insurance Fraud

Picture a quiet kitchen at midnight, a cracked phone screen, a form that demands dates, amounts, and a story. A single keystroke can tilt that story when incentives, detection risk, and consequences are all at play.¹ On the other side of the screen, claim teams race the clock while caring for shaken customers, juggling service targets, fragmented data, and pressure to pay quickly without inviting error. They face upstream gaps when honesty prompts stay hidden, when identity proofing is late, and when analytics only appear after money moves.

Applicants walk through gray zones that feel harmless in the moment. Most people want to be truthful, yet lab studies show that ambiguous wording and weak guidance create room for self-serving edits that seem defensible under stress.³ Fatigue, confusing categories, and poorly timed questions compound the problem by turning uncertainty into overstatements or omissions. Claim operations then inherit that noise. Triage queues mix simple losses with complex ones, models struggle with scarce and noisy labels, and reviews land on the wrong cases when patterns are invisible at the point of decision. 

The path forward is easy to describe. Make accurate reporting easy, surface risk early, and focus human effort where it prevents real loss while genuine claims move fast.