Insurance clause analysis system based on AI large model

Abstract

The invention belongs to the technical field of clause analysis, and particularly relates to an insurance clause analysis system based on an AI large model, which comprises an input module, a processor, a network connection end, an analysis submission end and display equipment, and is characterized in that the processor is integrated with an AI technology; the output end of the input module is connected with the processor, the output end of the processor is connected with the display device, the processor is in communication connection with the network connection end, and the analysis submission end is in communication connection with the network connection end. According to the design of the scheme, based on the clamping of the AI technology, insurance terms are usually long in length and complex in content, and manual analysis needs to consume a large amount of time and energy. The AI can process a large number of insurance clause texts in a short time, quickly extract key information, and greatly improve the analysis speed. When a customer or an insurance practitioner needs to know the insurance clause information, the AI system can carry out analysis and feedback in real time, and does not need to queue up to wait for processing like manual work, so that the information requirement of the user can be met in time.

Description

Technical Field

[0001] The present invention relates to the technical field of clause parsing, and specifically provides an insurance clause parsing system based on an AI large model. Background Art

[0002] A clause refers to the matters stipulated in laws, treaties, contracts or documents. Frequently encountered ones include insurance clauses, legal clauses, etc.

[0003] An insurance clause is the article regarding the rights and obligations of both parties determined through mutual agreement between the two parties of an insurance contract, and is the basis for the insurer to fulfill its insurance liability for the insured subject matter. Generally, it consists of three parts: ① Basic clauses. The basic matters prepared in advance by the insurer and stipulated in the insurance policy, including two parts: statutory clauses and optional clauses. Statutory clauses are the clauses that must be included as required by law, while optional clauses are the clauses stipulated by the insurer according to the needs of its own business. ② Additional clauses. Clauses added separately by the insurer on the basis of the existing basic clauses on the insurance policy to meet the special needs of various policyholders, so as to expand the liability scope of the original insurance policy, or change the content of the original insurance policy, or change the matters stipulated in the original insurance policy. ③ Warranty clauses (also known as special clauses). Clauses in which the insurer requires the insured to guarantee to do or not to do something, or to guarantee the existence or non - existence of a certain state of affairs.

[0004] Since insurance clauses are related to the issues of the responsibilities and rights of both parties and play a great role in the subsequent liability division, and because the content of insurance clauses is written obscurely and is prone to misinterpretation in the application of words, professional personnel are needed for parsing. Ordinary users are difficult to directly obtain the direct meaning of insurance clauses and are easily misled. Therefore, we propose an insurance clause parsing system based on an AI large model. Summary of the Invention

[0005] The purpose of the present invention is to provide an insurance clause parsing system based on an AI large model to solve the problems mentioned in the above background art, that is, insurance clauses are related to the issues of the responsibilities and rights of both parties and play a great role in the subsequent liability division, and because the content of insurance clauses is written obscurely and is prone to misinterpretation in the application of words, professional personnel are needed for parsing. Ordinary users are difficult to directly obtain the direct meaning of insurance clauses and are easily misled.

[0006] To achieve the above - mentioned purpose, the present invention provides the following technical solution: An insurance clause parsing system based on an AI large model, including:

[0007] An input module, a processor, a network connection end, a parsing submission end, and a display device;

[0008] Among them, the processor integrates AI technology;

[0009] The output end of the input module is connected to the processor, the output end of the processor is connected to the display device, the processor establishes a communication connection with the network connection end, and the parsing submission end establishes a communication connection with the network connection end.

[0010] Preferably, the specific usage method of the insurance clause parsing system based on the AI large model is as follows:

[0011] S1: According to the user's needs, input the insurance clauses required by the user based on the input module;

[0012] S2: The processor converts the input insurance clauses into computer language, and retrieves the insurance clauses in the form of computer language in the networked environment of the network connection end, and obtains a list of insurance clause parsing;

[0013] S3: The processor based on the integrated AI technology identifies and filters the insurance clause parsing list to obtain a relatively accurate parsing.

[0014] Preferably, when retrieving the parsing of insurance clauses in the networked environment, the AI technology based on the processor divides the insurance clauses into multiple keywords and retrieves them in the web pages of insurance clause parsing based on the keywords.

[0015] Preferably, the parsing submission end docks with the network connection end. The parsing submission end can upload and modify the parsing of insurance clauses on the network connection end online. When it is considered that there are doubts or inaccuracies in the parsing of insurance clauses, the processor can also communicate with the parsing submission end online based on the messages on the network connection end.

[0016] Preferably, the processor includes a data receiving end, an AI large model analysis model, and an output end. The output end of the data receiving end is connected to the AI large model analysis model, and the AI large model analysis model is connected to the output end.

[0017] Preferably, the data receiving end receives the insurance clauses to be parsed input from the input module, converts the insurance clauses to be parsed into computer language, and uses the computer language as the retrieval content to retrieve on the network connection end. Based on the AI large model analysis model, the retrieval results are identified and filtered, and the required retrieval results are selected and output to the display device through the output end for display through the display device.

[0018] Preferably, it further includes a communication module and a client, and the client establishes a communication connection with the processor based on the communication module.

[0019] Preferably, the client includes a data conversion end, a processing module, a voice and video acquisition end, and a text input module. The output end of the data conversion end is connected to the processing module, and the processing module is connected to the voice and video acquisition end and the text input module.

[0020] Preferably, when the user believes that the retrieved results screened by the processor are unclear, they communicate with the client through the communication module. The client is the client of the insurance clause formulation department. The client uses the voice and video acquisition end and the text input module to input text explanations or record voice and videos for explanations and then feedback to the user.

[0021] Compared with the prior art, the beneficial effects of the present invention are:

[0022] The design of this solution, with the support of AI technology, can quickly process a large amount of text: Insurance clauses are usually long and complex in content, and manual parsing requires a lot of time and energy. AI can process a large amount of insurance clause text in a short time, quickly extract key information, and greatly improve the parsing speed. Real-time response to queries: When customers or insurance practitioners need to understand insurance clause information, the AI system can perform parsing and feedback in real time, without the need to queue for processing like manual work, and can meet the information needs of users in a timely manner. Reduce human errors: When manually parsing insurance clauses, errors may occur due to fatigue, negligence, or deviation in understanding of the clauses. AI analyzes based on preset algorithms and models, and can avoid errors caused by these human factors, ensuring the accuracy and consistency of the parsing results. Accurately identify key information: AI can use natural language processing technology to accurately identify key terms, conditions, scope of liability, exemption clauses, and other important information in insurance clauses, without missing important details, and provide users with comprehensive and accurate clause interpretations. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is the system logic block diagram of the present invention;

[0024] Figure 2 is the system logic block diagram of the processor of the present invention;

[0025] Figure 3 is the system logic block diagram of the client of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0027] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation on the present invention.

[0028] Embodiment 1:

[0029] Please refer to Figures 1-3 , the present invention provides a technical solution: an insurance clause parsing system based on an AI large model, including: an input module, a processor, a network connection end, a parsing submission end, and a display device;

[0030] Among them, the processor integrates AI technology; the output end of the input module is connected to the processor, the output end of the processor is connected to the display device, the processor establishes a communication connection with the network connection end, and the parsing submission end establishes a communication connection with the network connection end.

[0031] Analysis of the above content: Based on the existing online retrieval and combined with AI technology, this solution has the following advantages:

[0032] There are many benefits to parsing insurance clauses based on AI, which are mainly reflected in improving efficiency, accuracy, personalized services, and risk control, etc. The following is a specific introduction:

[0033] Improve parsing efficiency:

[0034] Quickly process a large amount of text: Insurance clauses are usually long and complex in content, and manual parsing requires a lot of time and effort. AI can process a large amount of insurance clause text in a short time, quickly extract key information, and greatly improve the parsing speed.

[0035] Real-time response to queries: When customers or insurance practitioners need to understand insurance clause information, the AI system can parse and give feedback in real time, without the need to queue up for processing like manual work, and can meet the information needs of users in a timely manner.

[0036] Improve parsing accuracy:

[0037] Reduce human errors: When manually parsing insurance clauses, errors may occur due to fatigue, negligence, or deviation in understanding of the clauses. AI analyzes based on preset algorithms and models, and can avoid errors caused by these human factors, ensuring the accuracy and consistency of the parsing results.

[0038] Precisely identify key information: AI can utilize natural language processing technology to precisely identify important information such as key terms, conditions, scope of liability, and exemption clauses in insurance policies, without missing any important details, and provide users with comprehensive and accurate policy interpretations.

[0039] Provide personalized services:

[0040] Customized interpretation: According to the specific circumstances and needs of users, AI can provide customized interpretations of insurance policies. For example, for customers of different ages, occupations, and risk profiles, it can analyze the specific impacts of insurance policies on them and provide personalized insurance advice.

[0041] Intelligently match insurance products: By analyzing user information and insurance policies, AI can more precisely match suitable insurance products for users, improve the fit between insurance products and user needs, and help users better select insurance plans that are in their own interests.

[0042] Strengthen risk control:

[0043] Comprehensive risk assessment: When analyzing insurance policies, AI can learn from a large amount of historical data and cases to conduct a more comprehensive and in-depth assessment of the risks that insurance products may face. This helps insurance companies price more accurately, control risks reasonably, and also helps policyholders understand the risk status of insurance products and make more informed decisions.

[0044] Early warning of risks: Based on real-time analysis of insurance policies and market data, AI can promptly detect potential risk factors and issue warnings to insurance companies and policyholders, so that both parties can take measures in advance to reduce the likelihood and impact of risk occurrences.

[0045] Reduce costs:

[0046] Reduce human input: Using AI for insurance policy analysis can reduce the need for a large number of manual analysts and lower labor costs. Insurance companies can invest the saved labor costs in other more valuable business processes.

[0047] Improve operational efficiency: The efficient analysis and processing capabilities of AI can speed up the insurance business process, reduce business processing time and costs, and improve the overall operational efficiency and economic benefits of insurance companies.

[0048] Promote the development of the insurance industry:

[0049] Drive product innovation: In-depth analysis of insurance policies by AI can help insurance companies better understand market needs and customer pain points, thereby driving the innovation and optimization of insurance products, developing insurance products that better meet market needs, and promoting the development of the insurance industry.

[0050] Enhancing industry transparency: AI analysis of insurance terms can present the terms to customers in a more understandable way, improve the transparency of the insurance industry, enhance customers' trust and understanding of insurance products, and contribute to the healthy development of the insurance industry.

[0051] Example 2:

[0052] Please refer to Figures 1-3 , based on Example 1, the present invention provides a technical solution: The specific usage method of the insurance term parsing system based on the AI large model is as follows:

[0053] S1: According to the user's needs, input the insurance terms to be parsed by the user based on the input module;

[0054] S2: The processor converts the input insurance terms into computer language, retrieves the insurance terms in the computer language form in the network connection environment of the network connection end, and obtains a list of insurance term parsing;

[0055] S3: The processor based on the integrated AI technology identifies and filters the insurance term parsing list to obtain a relatively accurate parsing.

[0056] Example 3:

[0057] Please refer to Figures 1-3 , based on Example 2, the present invention provides a technical solution: When retrieving the parsing of insurance terms in the network connection environment, the AI technology of the processor separates the insurance terms into multiple keywords and retrieves based on the keywords in the web pages of the insurance term parsing. The parsing submission end is docked with the network connection end. The parsing submission end can upload and modify the parsing of the insurance terms on the network connection end online. When it is considered that there are doubts or inaccuracies in the insurance term parsing, the processor can also communicate online with the parsing submission end based on the messages on the network connection end.

[0058] Analysis of the above content: The data on the network connection end is dynamic. The parsing submission end can further supplement or modify the parsing of the insurance terms provided by the network connection end according to the feedback situation.

[0059] Example 4:

[0060] Please refer to Figures 1-3, the present invention provides a technical solution based on Embodiment 1: The processor includes a data receiving end, an AI large model analysis model, and an output end. The output end of the data receiving end is connected to the AI large model analysis model, and the AI large model analysis model is connected to the output end. The data receiving end receives the insurance clauses to be parsed input from the input module, converts the insurance clauses to be parsed into computer language, and uses this computer language as the retrieval content to retrieve at the network connection end. Based on the AI large model analysis model, the retrieval results are identified and screened and judged. For the required retrieval results, they are filtered out and output to the display device through the output end for display by the display device.

[0061] Embodiment 5:

[0062] Please refer to Figures 1-3 , the present invention provides a technical solution based on Embodiment 1: It further includes a communication module and a client. The client establishes a communication connection with the processor based on the communication module. The client includes a data conversion end, a processing module, a voice / video acquisition end, and a text input module. The output end of the data conversion end is connected to the processing module, and the processing module is connected to the voice / video acquisition end and the text input module. When the user believes that the retrieval results screened by the processor are unclear, they communicate with the client through the communication module. The client is the client of the insurance clause formulation department. The client conducts text input explanations or records voice and video for explanations through the voice / video acquisition end and the text input module and feeds them back to the user.

[0063] Analysis of the above content: Based on the setting of the client, when the parsed insurance clauses obtained do not meet the user's needs, the user can also connect to the client. According to the arrangement of the client, the client can conduct text input explanations or record voice and video for explanations to further analyze the user's questions.

[0064] In actual use, due to the influence of actual work and other situations on the feedback time of the client, the feedback speed is slow. Therefore, it is preferred to retrieve and obtain the analysis through the network connection end.

[0065] The above shows and describes the basic principles, main features, and advantages of the present invention. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, it is intended to include all changes falling within the meaning and scope of the equivalent elements of the claims in the present invention, and any reference signs in the claims should not be regarded as limiting the claims involved.

[0066] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An insurance clause parsing system based on a large AI model, characterized in that It includes: An input module, a processor, a network connection terminal, a parsing and submission terminal, and a display device; Among them, the processor integrates AI technology; The output end of the input module is connected to the processor, the output end of the processor is connected to the display device, the processor establishes a communication connection with the network connection terminal, and the parsing and submission terminal establishes a communication connection with the network connection terminal.

2. The insurance clause parsing system based on the AI large model according to claim 1, characterized in that: The specific usage method of the insurance clause parsing system based on the AI large model is as follows: S1: According to the user's needs, input the insurance clause to be parsed by the user based on the input module; S2: The processor converts the input insurance clause into computer language, and retrieves the insurance clause in the form of computer language in the networking environment of the network connection terminal, and obtains a list of insurance clause parsing; S3: The processor based on the integrated AI technology identifies and filters and judges the insurance clause parsing list to obtain a relatively accurate parsing.

3. The insurance clause parsing system based on the AI large model according to claim 2, characterized in that: When retrieving the parsing of the insurance clause in the networking environment, the AI technology of the processor divides the insurance clause into multiple keywords and retrieves based on the keywords in the web page of the insurance clause parsing.

4. An insurance clause parsing system based on the AI large model according to claim 2, characterized in that: The parsing and submission terminal docks with the network connection terminal. The parsing and submission terminal can upload and modify and adjust the parsing of the insurance clause on the network connection terminal online. When it is considered that there are doubts or inaccuracies in the parsing of the insurance clause, the processor can also communicate online with the parsing and submission terminal based on the message on the network connection terminal.

5. The insurance clause parsing system based on the AI large model according to claim 1, wherein: The processor includes a data receiving end, an AI large model analysis model, and an output end. The output end of the data receiving end is connected to the AI large model analysis model, and the AI large model analysis model is connected to the output end.

6. The insurance clause parsing system based on the AI large model according to claim 5, wherein: The data receiving end receives the insurance clause to be parsed input from the input module, converts the insurance clause to be parsed into computer language, and uses the computer language as the retrieval content to retrieve on the network connection terminal. Based on the AI large model analysis model, it identifies and filters and judges the retrieval result, selects the required retrieval result, outputs it to the display device through the output end, and is displayed through the display device.

7. The insurance clause parsing system based on the AI large model according to claim 1, characterized in that: It further includes a communication module and a client, and the client establishes a communication connection with the processor based on the communication module.

8. The insurance clause parsing system based on the AI large model according to claim 7, wherein: The client includes a data conversion end, a processing module, a voice and video collection end, and a text input module. The output end of the data conversion end is connected to the processing module, and the processing module is connected to the voice and video collection end and the text input module.

9. The insurance clause parsing system based on the AI large model according to claim 8, characterized in that: When the user thinks that the retrieval result selected by the processor is not clear, communicate with the client through the communication module. The client is the client of the insurance clause formulation department. The client inputs explanations in text or records voice and video through the voice and video collection end and the text input module and feeds them back to the user.

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