Anomaly detection system solution
1. Simple claim settlement system
Nowadays, with the rise of a new generation of insurance consumers, insurance consumers have also put forward higher requirements for the quality and efficiency of insurance products and services. However, traditional insurance companies still have many pain points in the core aspects of insurance, claims, and operations, such as cumbersome insurance operations and difficulty in claims settlement. Artificial intelligence brings hope to solve these pain points.
Claims settlement refers to the insurance company fulfilling its liability for compensation or payment in accordance with the provisions of the contract when an insured accident occurs in the subject matter of the insurance and the insured's property is damaged or the life of the insured is damaged, or when other insurance accidents stipulated in the policy occur and insurance payments are required. Behavior is the work that directly embodies insurance functions and fulfills insurance responsibilities. Insurance claims settlement is the act of the insurer handling the claim made by the insured after a risk accident occurs in the insured subject matter. In insurance operations, insurance claims settlement is a concrete manifestation of the insurance compensation function. When an insurance policy holder has an application for compensation, the insurance company will generally handle it through the following procedures, that is, filing the case for inspection, reviewing the certificate, determining the liability, and performing the compensation.
At present, the traditional claims process is more like a crowd tactic. The claims process requires multiple manual processes to be completed, which is time-consuming and labor-intensive. Then artificial intelligence can greatly simplify this process. Using image recognition and natural language processing as the entry point, it can improve the automation of the claims process.
Image recognition can be used for identity authentication through face recognition, document recognition (also including voiceprint recognition that is not an image) and other methods. More importantly, image recognition can also process unstructured data, such as converting handwriting, scans, and photographed documents into text, classifying videos, on-site photos, etc. Natural language processing can analyze and process insurance customers’ electronic medical record information, claim requests, and insurance type information to provide reasonable claims conclusions.