Accurate risk assessment is critical in P&C insurance, but traditional methods  often relies on manual processing of a wide variety of unstructured data sources, such as photos, documents (e.g., claim forms, medical records, property reports), and other records. This labor-intensive process increases the chances of human error, delays decision-making, and limits the scalability of underwriting or claims operations. Additionally, extracting accurate insights from these diverse formats to inform risk decisions can be slow and inefficient.

1. Increased Accuracy: By leveraging AI to analyze visual data, the risk assessment process becomes more precise, reducing the likelihood of missed risks or errors in judgment.
2. Enhanced Efficiency: Automating the assessment of property images allows for faster processing times, enabling underwriters to handle more cases without compromising on thoroughness.