Claims automation uses AI, machine learning, and computer vision for property damage assessment, document classification, and fraud detection to shorten cycle times and improve accuracy. Insurers benefit from straight-through processing for simple claims while humans handle complex cases, evolving toward autonomous systems by 2026.
Source: roboticsandautomationnews. Original: https://roboticsandautomationnews.com/2026/04/15/how-ai-is-improving-accuracy-in-motor-insurance-claims-assessment/100613/
