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Year 113 Practical Issues: Policy Explanation Assistant

Industry: Artificial Intelligence Application Services

Industry Pain Points:

  • Many people find it confusing to read policy terms due to the overly professional insurance jargon, making it difficult to understand their true meaning. This can lead to erroneous expectations about coverage or compensation conditions, resulting in disputes. A lack of proper understanding of key terms can affect insurance decisions, ultimately harming consumer rights
  • The lack of transparency between insurance companies and consumers leads to misunderstandings about the policy contents, resulting in misinformation, misinterpretations, and even legal disputes, causing trouble for both insurers and customers

AI Deployment Benefits:

  • The system can instantly parse specific contents within the policy documents, providing clear and accurate explanations, aiding policyholders in quickly understanding relevant term details. This functionality significantly reduces the confusion surrounding professional terms and enhances policyholders' comprehension efficiency, enabling them to fully grasp the policy information and make correct insurance decisions. For first-time policy buyers or those unfamiliar with clauses, such systems can significantly improve their experience and strengthen their trust in insurance products
  • Moreover, the system offers personalized policy explanations and recommendations based on the policyholder's individual background, needs, and past insurance history. This type of personalized service further enhances policyholders' satisfaction and loyalty towards insurance services, making the service more targeted and humanized. For example, the system can provide detailed explanations of specific clauses based on the policyholder's specific needs, allowing them to make more informed insurance decisions, thereby strengthening the relationship between insurance companies and policyholders
  • Additionally, the system also has the capability to automatically handle a large volume of policyholder inquiries, which not only avoids the risk of human error but also significantly reduces the workload of the insurance company's customer service department. Through automated processing, the system can significantly improve the speed and accuracy of inquiries, allowing policyholders to obtain needed information in a short time, reducing communication costs between the insurance company and policyholders. This functionality not only enhances service efficiency but also improves the overall quality of service, enabling insurance companies to manage customer needs more effectively

Common AI Technologies:

  • Generative Artificial Intelligence, such as:OpenAIofGPTAnthropicofClaudeet cetera

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-11-15」