Can AI decide which claims to reject at an insurance company ?
Afgiv din stemme — læs så hvad vores redaktør og AI-modellerne fandt.
Current AI systems can automate parts of claim triage and fraud detection in insurance, using rule-based or early machine-learning models to flag suspicious documents or inconsistencies. More advanced deep-learning approaches analyze free-text claims, medical records, and repair estimates to estimate severity and recommend rejection or referral for human review. Accuracy varies widely by line of business and depends heavily on the quality and granularity of historical labeled data. As of 2024, no fully autonomous system is universally trusted to decide which claims to reject without human oversight across major insurers.
— Enriched May 13, 2026 · Source: Swiss Re Institute
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Status senest tjekket May 13, 2026.
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