Contract management method based on intelligent auditing

Abstract

The invention provides a contract management method based on intelligent auditing, and belongs to the technical field of contract management, and the method specifically comprises the steps: carrying out the determination of the error probability of different to-be-audited items based on the correlation coefficients of different correlation contracts, and when the error probability meets the requirement, carrying out the verification of the to-be-audited items. The method comprises the following steps: determining the project auditing difficulty of different to-be-audited projects through the auditing processing difficulty of different types of contracts of different to-be-audited projects, obtaining the auditing processing time limit of different to-be-audited projects, and determining the auditing processing sequence of different to-be-audited projects in combination with the project auditing difficulty and the error probability. And the different items to be audited are audited based on the audit processing sequence, so that the timeliness of the audit processing of the contract of the item is further improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of contract management, and in particular relates to a contract management method based on intelligent review. Background Art

[0002] Whether it is an infrastructure project such as a substation, a transmission line construction project or an internal information project of the company, different projects have a large number of contracts that need to be reviewed during the final acceptance. The original contract review is often done manually, which not only has a slow review process efficiency, but also the accuracy of the review process is difficult to meet the requirements.

[0003] In order to solve the above technical problems, the existing technical solutions introduce an artificial intelligence-based contract review model to review and process the contract. Specifically, the invention patents CN202311236568.9 "A method, system, storage medium and device for automatic review of contract terms" and CN202311000116.0 "A method, device, electronic equipment and storage medium for reviewing financial contracts" both provide similar technical means, but there are the following technical problems: Since different projects have different numbers of contracts that need to be reviewed, and there are also certain differences in the number of contract clauses and the number of contract clauses that are prone to errors in different contracts, the efficiency of the contract review process cannot be guaranteed if the above factors cannot be taken into account when reviewing the contracts of different projects.

[0004] In response to the above technical problems, the present invention provides a contract management method based on intelligent review. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: According to one aspect of the present invention, a contract management method based on intelligent review is provided.

[0006] A contract management method based on intelligent auditing, characterized by comprising: S1 determines the associated contracts in the items to be audited according to the association relationships between the contracts of different items to be audited, determines the association coefficients of different associated contracts through the association data of the associated contracts and the contract terms associated with other contracts, determines the error probabilities of different items to be audited based on the association coefficients of different associated contracts, and proceeds to the next step when the error probability meets the requirements; S2 classifies the contracts into different types through the contract review models that match different contracts of different projects to be reviewed, obtains contract data of different types and the data of different contracts themselves, and determines the difficulty of review processing of different types of contracts in combination with the historical review data of the contract review models that match different types of contracts, and determines the difficulty of project review of different projects to be reviewed through the difficulty of review processing of different types of contracts of different projects to be reviewed; S3 obtains the review processing time limits of different items to be reviewed, and determines the review processing sequence of different items to be reviewed based on the review difficulty and error probability of the items, and reviews the different items to be reviewed based on the review processing sequence.

[0007] The beneficial effects of the present invention are: 1. The error probabilities of different items to be audited are determined based on the correlation coefficients of different related contracts, so that the error probabilities of the items to be audited can be accurately evaluated due to the correlation conditions of different related contracts, thereby achieving the screening of items to be audited with higher error probabilities and laying the foundation for differentiated audit processing of different projects.

[0008] 2. The difficulty of project audit for different projects to be audited is determined by the difficulty of auditing and processing different types of contracts of different projects to be audited. This enables the determination of the difficulty of project audit for different projects to be audited due to the differences in contract audit models of different projects to be audited, and enables the screening of projects to be audited with more contract audit models and more complex project terms, which also lays the foundation for further improving the efficiency of project audit processing.

[0009] 3. The audit processing order of different items to be audited is determined by the different audit processing time limits, project audit difficulty and error probability of the items to be audited. This not only takes into account the audit time requirements caused by the differences in the audit processing time limits of the items to be audited, but also facilitates faster audit processing of items to be audited with a higher probability of error through the evaluation of error efficiency and project audit difficulty.

[0010] A further technical solution is that the related contracts in the project to be reviewed are determined based on the relationship between the contract terms of the contract in the project to be reviewed and other contracts in the project to be reviewed. Specifically, when the contract terms of the contract in the project to be reviewed are related to other contracts in the project to be reviewed, the contract is determined to be a related contract.

[0011] A further technical solution is that the associated data includes but is not limited to the number of contracts associated with the contract and the number of contract clauses associated with different contracts associated with the contract.

[0012] A further technical solution is that the method for determining the project audit difficulty of the project to be audited is: The weight values ​​of the difficulty of reviewing and processing different types of contracts are determined according to the number of different types of contracts, and the project review difficulty of the project to be reviewed is determined in combination with the review difficulty of reviewing and processing different types of contracts of the project to be reviewed.

[0013] On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned contract management method based on intelligent review.

[0014] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0015] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0017] Figure 1 It is a flow chart of a contract management method based on intelligent review; Figure 2 It is a flow chart of a method for determining the probability of error of an item to be audited; Figure 3 It is a flowchart of a method for determining the difficulty of review processing for different types of contracts. DETAILED DESCRIPTION

[0018] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that the present invention will be comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar structures, and thus their detailed description will be omitted.

[0019] The terms "a", "an", "the", and "said" are used to indicate the presence of one or more elements / components / etc.; the terms "comprising" and "having" are used to express an open-ended inclusive meaning and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.

[0020] Example 1 To solve the above problems, according to one aspect of the present invention, Figure 1 As shown, according to one aspect of the present invention, a contract management method based on intelligent audit is provided, which is characterized by specifically including: S1 determines the associated contracts in the items to be audited according to the association relationships between the contracts of different items to be audited, determines the association coefficients of different associated contracts through the association data of the associated contracts and the contract terms associated with other contracts, determines the error probabilities of different items to be audited based on the association coefficients of different associated contracts, and proceeds to the next step when the error probability meets the requirements; Specifically, the related contracts in the project to be reviewed are determined based on the relationship between the contract terms of the contract in the project to be reviewed and other contracts in the project to be reviewed. Specifically, when the contract terms of the contract in the project to be reviewed are related to other contracts in the project to be reviewed, the contract is determined to be a related contract.

[0021] Furthermore, the associated data includes but is not limited to the number of contracts associated with the contract and the number of contract clauses associated with different contracts associated with the contract.

[0022] It should be further explained that the method for determining the correlation coefficient of the related contract is: S11 determines the number of contracts associated with the associated contract through the associated data of the associated contract, and judges whether the number of contracts associated with the associated contract is less than the preset number of contracts. If so, proceed to the next step; if not, proceed to step S13; S12: obtaining the number of contract clauses associated with the associated contract and other contracts, and using them as associated contract clauses, and determining whether the number of associated contract clauses of the associated contract is less than the preset number of contract clauses; if so, determining the association coefficient of the associated contract by the number of associated contracts and the number of associated contract clauses of the associated contract; if not, proceeding to the next step; S13: determining the number of contract clauses associated with the associated contract from different associated contracts through the associated contracts of the associated contract, and determining the contract correlation coefficient of the associated contract in combination with the number of associated contracts of the associated contract; S14: determining the number of contracts associated with the associated contract clause of the associated contract based on the associated contract clause of the associated contract, and determining the clause correlation coefficient of the associated contract in combination with the number of associated contract clauses of different types of the associated contract and the number of the associated contract clauses; S15 obtains the proportion of the associated contract clauses of the associated contract in the number of contract clauses of the associated contract, and determines the association coefficient of the associated contract in combination with the clause association coefficient and the contract association coefficient of the associated contract.

[0023] Specifically, the correlation coefficient of the related contract ranges from 0 to 1, wherein the larger the correlation coefficient of the related contract is, the more serious the correlation between the related contract and other contracts is.

[0024] In another possible embodiment, the method for determining the correlation coefficient of the associated contract is: Determine the number of contract clauses associated with the associated contract from different associated contracts through the associated contracts of the associated contract, and determine the contract correlation coefficient of the associated contract in combination with the number of associated contracts of the associated contract; When the contract correlation coefficient of the associated contract is greater than the preset correlation coefficient, the correlation coefficient of the associated contract is determined by the contract correlation coefficient of the associated contract; When the contract correlation coefficient of the associated contract is not greater than the preset correlation coefficient, the number of contract clauses between the associated contract and other contracts is obtained and used as the associated contract clauses, and it is determined whether the number of associated contract clauses of the associated contract is less than the preset number of contract clauses. If so, the correlation coefficient of the associated contract is determined by the number of associated contracts and the number of associated contract clauses of the associated contract. If not, proceed to the next step. Based on the associated contract clauses of the associated contracts, the number of contracts associated with the associated contract clauses of the associated contracts is determined, and the clause correlation coefficient of the associated contracts is determined in combination with the number of different types of associated contract clauses of the associated contracts and the number of associated contract clauses, the proportion of the associated contract clauses of the associated contracts in the number of contract clauses of the associated contracts is obtained, and the correlation coefficient of the associated contracts is determined in combination with the clause correlation coefficient and the contract correlation coefficient of the associated contracts.

[0025] Specifically, the method for determining the error probability of the item to be reviewed is: Determine whether the number of associated contracts of the project to be reviewed is greater than a preset number threshold. If so, determine that the error probability of the project to be reviewed does not meet the requirement. If not, proceed to the next step. Determine the total number of associated contract clauses of the project to be reviewed by the number of associated contract clauses of the associated contracts of the project to be reviewed, and judge whether the total number of associated contract clauses of the project to be reviewed meets the requirement. If so, determine that the error probability of the project to be reviewed does not meet the requirement. If not, proceed to the next step. Determine the weight values ​​of different associated contract clauses by the number of associated contracts of associated contract clauses of different associated contracts, and judge whether the number and weight values ​​of the associated contract clauses of the project to be reviewed meet the requirements. If so, determine that the error probability of the project to be reviewed does not meet the requirements. If not, proceed to the next step. Determine the number of core associated contract clauses of the project to be audited and the weight values ​​of different core associated contract clauses based on the weight values ​​of different associated contract clauses, and determine the complexity of clause association of the project to be audited in combination with the number of associated contract clauses of the project to be audited and the number of weight values ​​of associated contract clauses of the project to be audited; Using the correlation coefficients of the associated contracts of the project to be audited, the number of core associated contracts of the project to be audited and the correlation coefficients of the core associated contracts are determined, and the contract correlation complexity of the project to be audited is determined by combining the number of associated contracts of the project to be audited and the number of correlation coefficients of different associated contracts; The number of contract clauses and the number of contracts of the project to be reviewed are obtained, and the error probability of the project to be reviewed is determined based on the contract association complexity of the project to be reviewed and the clause association complexity of the project to be reviewed.

[0026] It can be understood that when the error probability does not meet the requirement, the processing priority of the items to be reviewed is set to the first priority, and the processing order of the items to be reviewed is determined by the error probability of the items to be reviewed.

[0027] In another possible embodiment, Figure 2 As shown, the method for determining the error probability of the item to be reviewed is: The total number of associated contract clauses of the project to be reviewed is determined by the number of associated contract clauses of the associated contracts of the project to be reviewed, and the weight values ​​of different associated contract clauses are determined by the number of associated contracts of the associated contract clauses of different associated contracts; Based on the weight values ​​of different associated contract clauses, the number of core associated contract clauses of the project to be audited and the weight values ​​of different core associated contract clauses are determined, and in combination with the number of associated contract clauses of the project to be audited and the number of weight values ​​of associated contract clauses of the project to be audited, the complexity of clause association of the project to be audited is determined to determine whether the complexity of clause association meets the requirements, if so, proceed to the next step, if not, determine that the error probability of the project to be audited does not meet the requirements; The number of core related contracts of the project to be audited and the correlation coefficient of the core related contracts are determined by using the correlation coefficient of the related contracts of the project to be audited, and the contract correlation complexity of the project to be audited is determined by combining the number of related contracts of the project to be audited and the number of correlation coefficients of different related contracts to determine whether the contract correlation complexity meets the requirements. If so, proceed to the next step. If not, determine that the error probability of the project to be audited does not meet the requirements. The number of contract clauses and the number of contracts of the project to be reviewed are obtained, and the error probability of the project to be reviewed is determined based on the contract association complexity of the project to be reviewed and the clause association complexity of the project to be reviewed.

[0028] S2 classifies the contracts into different types through the contract review models that match different contracts of different projects to be reviewed, obtains contract data of different types and the data of different contracts themselves, and determines the difficulty of review processing of different types of contracts in combination with the historical review data of the contract review models that match different types of contracts, and determines the difficulty of project review of different projects to be reviewed through the difficulty of review processing of different types of contracts of different projects to be reviewed; It should be noted that the contract data includes the number of contracts and the number of associated contracts.

[0029] Furthermore, the contract's own data includes the number of clauses and the number of characters in the contract.

[0030] It is understandable that if Figure 3 As shown, the method for determining the difficulty of review and processing of the different types of contracts is: The historical audit data of the specific type of contract audit model is used to determine the historical audit processing time for different types of contract clauses of the specific type of contract audit model, and the audit processing difficulty of the specific type of contract is determined based on the number of different types of contract clauses of the specific type of contract and the historical audit processing time for different types of contract clauses.

[0031] Further, the number of different types of contract clauses for the specific type of contract is determined based on the number of contracts of the specific type and the number of different types of contract clauses for different specific types of contracts.

[0032] It should be noted that the method for determining the project audit difficulty of the project to be audited is: The weight values ​​of the difficulty of reviewing and processing different types of contracts are determined according to the number of different types of contracts, and the project review difficulty of the project to be reviewed is determined in combination with the review difficulty of reviewing and processing different types of contracts of the project to be reviewed.

[0033] S3 obtains the review processing time limits of different items to be reviewed, and determines the review processing sequence of different items to be reviewed based on the review difficulty and error probability of the items, and reviews the different items to be reviewed based on the review processing sequence.

[0034] Specifically, the method for determining the review processing order of the items to be reviewed is as follows: The predicted processing time of the project to be reviewed is determined by the project review difficulty of the project to be reviewed, and when the predicted processing time of the project to be reviewed does not meet the requirements of the review processing time limit, the processing priority of the project to be reviewed is determined to be the second priority, and the review processing order of the project to be reviewed is determined by the difference between the predicted processing time of the project to be reviewed and the review processing time limit; When the predicted processing time of the project to be reviewed meets the requirements of the review processing time limit, and when the project review difficulty of the project to be reviewed meets the requirements, the processing priority of the project to be reviewed is determined to be the third priority, and the processing order of the project to be reviewed is determined by the difference between the predicted processing time of the project to be reviewed and the review processing time limit, and the error probability.

[0035] It can be understood that the first priority is greater than the second priority, and the second priority is greater than the third priority.

[0036] Example 2 On the other hand, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned contract management method based on intelligent review.

[0037] Through the above embodiments, the present application achieves the following technical effects: 1. The error probabilities of different items to be audited are determined based on the correlation coefficients of different related contracts, so that the error probabilities of the items to be audited can be accurately evaluated due to the correlation conditions of different related contracts, thereby achieving the screening of items to be audited with higher error probabilities and laying the foundation for differentiated audit processing of different projects.

[0038] 2. The difficulty of project audit for different projects to be audited is determined by the difficulty of auditing and processing different types of contracts of different projects to be audited. This enables the determination of the difficulty of project audit for different projects to be audited due to the differences in contract audit models of different projects to be audited, and enables the screening of projects to be audited with more contract audit models and more complex project terms, which also lays the foundation for further improving the efficiency of project audit processing.

[0039] 3. The audit processing order of different items to be audited is determined by the different audit processing time limits, project audit difficulty and error probability of the items to be audited. This not only takes into account the audit time requirements caused by the differences in the audit processing time limits of the items to be audited, but also facilitates faster audit processing of items to be audited with a higher probability of error through the evaluation of error efficiency and project audit difficulty.

[0040] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0041] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0042] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A contract management method based on intelligent audit, characterized in that: Specifically include: Determine the associated contracts in the items to be reviewed according to the association relationships between the contracts of different items to be reviewed, determine the association coefficients of different associated contracts through the association data of the associated contracts and the contract terms associated with other contracts, determine the error probabilities of different items to be reviewed based on the association coefficients of different associated contracts, and proceed to the next step when the error probability meets the requirements; The contracts are divided into different types by using the contract review model that matches different contracts of different projects to be reviewed, and the contract data of different types and the data of different contracts themselves are obtained. The review processing difficulty of different types of contracts is determined in combination with the historical review data of the contract review model that matches different types of contracts, and the project review difficulty of different projects to be reviewed is determined by using the review processing difficulty of different types of contracts of different projects to be reviewed; The review and processing time limits of different items to be reviewed are obtained, and the review and processing order of different items to be reviewed is determined in combination with the review difficulty and error probability of the items to be reviewed, and the different items to be reviewed are reviewed and processed based on the review and processing order.

2. The contract management method based on intelligent auditing according to claim 1, characterized in that: The related contracts in the project to be reviewed are determined based on the relationship between the contract terms of the contract in the project to be reviewed and other contracts in the project to be reviewed. Specifically, when the contract terms of the contract in the project to be reviewed are related to other contracts in the project to be reviewed, the contract is determined to be a related contract.

3. The contract management method based on intelligent auditing according to claim 1, characterized in that: The associated data includes but is not limited to the number of contracts associated with the contract and the number of contract clauses associated with different contracts associated with the contract.

4. The contract management method based on intelligent auditing according to claim 1, characterized in that: The value range of the correlation coefficient of the related contract is between 0 and 1, wherein the larger the correlation coefficient of the related contract is, the more serious the correlation between the related contract and other contracts is.

5. The contract management method based on intelligent auditing according to claim 1, characterized in that: The method for determining the correlation coefficient of the associated contract is: Determine the number of contract clauses associated with the associated contract from different associated contracts through the associated contracts of the associated contract, and determine the contract correlation coefficient of the associated contract in combination with the number of associated contracts of the associated contract; When the contract correlation coefficient of the associated contract is greater than the preset correlation coefficient, the correlation coefficient of the associated contract is determined by the contract correlation coefficient of the associated contract; When the contract correlation coefficient of the associated contract is not greater than the preset correlation coefficient, the number of contract clauses between the associated contract and other contracts is obtained and used as the associated contract clauses, and it is determined whether the number of associated contract clauses of the associated contract is less than the preset number of contract clauses. If so, the correlation coefficient of the associated contract is determined by the number of associated contracts and the number of associated contract clauses of the associated contract. If not, proceed to the next step. Based on the associated contract clauses of the associated contracts, the number of contracts associated with the associated contract clauses of the associated contracts is determined, and the clause correlation coefficient of the associated contracts is determined in combination with the number of different types of associated contract clauses of the associated contracts and the number of associated contract clauses, the proportion of the associated contract clauses of the associated contracts in the number of contract clauses of the associated contracts is obtained, and the correlation coefficient of the associated contracts is determined in combination with the clause correlation coefficient and the contract correlation coefficient of the associated contracts.

6. The contract management method based on intelligent auditing as claimed in claim 1, characterized in that: When the error probability does not meet the requirement, the processing priority of the item to be reviewed is set to the first priority, and the processing order of the item to be reviewed is determined according to the error probability of the item to be reviewed.

7. The contract management method based on intelligent auditing according to claim 1, characterized in that: The contract's own data includes the number of clauses and the number of characters of the contract.

8. The contract management method based on intelligent auditing as claimed in claim 1, characterized in that: The method for determining the difficulty of review and processing of the different types of contracts is as follows: The historical audit data of the specific type of contract audit model is used to determine the historical audit processing time for different types of contract clauses of the specific type of contract audit model, and the audit processing difficulty of the specific type of contract is determined based on the number of different types of contract clauses of the specific type of contract and the historical audit processing time for different types of contract clauses.

9. The contract management method based on intelligent auditing as claimed in claim 8, characterized in that: The number of different types of contract clauses for the specific type of contract is determined based on the number of contracts of the specific type and the number of different types of contract clauses for different specific types of contracts.

10. A computer system comprising: A memory and a processor that are communicatively connected, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a contract management method based on intelligent audit as described in any one of claims 1-9.

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