Behavior feedback system for financial digital employees

Abstract

The invention relates to the technical field of financial digital employee feedback, and provides a financial digital employee behavior feedback system, which comprises a data acquisition module used for acquiring the process of a financial digital employee during operation execution, the interaction condition between the financial digital employee and a user, and environment data; the data analysis module is used for optimizing the collected data and carrying out preliminary analysis and evaluation on the data; and the strategy management module is used for evaluating the risk according to the target and the requirement of the financial service and generating a decision adjustment scheme. By setting clear targets, indexes and rules, a financial institution can more accurately control behaviors of digital employees and efficiently complete various tasks on the premise of ensuring that the digital employees meet regulations, and meanwhile, the strategy management module can dynamically adjust and timely update behavior strategies of the digital employees according to market changes and business requirements, so that the management efficiency of the digital employees is improved. And the method always adapts to the development of financial businesses.

Description

Technical Field

[0001] The present invention relates to the technical field of financial digital employee feedback, and in particular to a behavior feedback system for financial digital employees. Background Art

[0002] In the financial sector, as digital transformation accelerates, financial institutions increasingly rely on digital employees to handle increasingly complex business processes. However, traditional financial systems often have shortcomings in managing the behavior of digital employees. On the one hand, there is a lack of effective policy management mechanisms, and it is impossible to adjust the behavior strategies of digital employees in a timely manner according to the dynamic changes of financial business, which may lead to problems such as inefficiency and insufficient risk control when digital employees face new market environments and business needs. On the other hand, when digital employees have problems with their behavior or need to be optimized, there is a lack of efficient optimization and update modules, making it difficult to respond quickly and make improvements, thus affecting the smooth development of financial business.

[0003] Therefore, we made improvements to this and proposed a behavioral feedback system for financial digital employees. Summary of the invention

[0004] (I) The technical problem to be solved by the present invention is: setting clear goals, indicators and rules to ensure that various tasks are completed efficiently under the premise of compliance, and the optimization and update module can quickly analyze the root cause of the problem and propose targeted solutions.

[0005] (II) Technical solution

[0006] In order to achieve the above-mentioned invention object, the present invention provides a behavior feedback system for financial digital employees, comprising:

[0007] The data collection module is used to collect the process of financial digital employees performing operations, the interaction between them and users, and environmental data;

[0008] Data analysis module, used to optimize the collected data and conduct preliminary analysis and evaluation of the data;

[0009] The strategy management module is used to assess risks and generate decision-making adjustment plans based on the goals and requirements of financial services;

[0010] Feedback module, used to generate feedback and make notifications;

[0011] The optimization and update module is used to track the generated feedback, perform model optimization training, and update the decision-making conditions;

[0012] Database, used to store data of each step;

[0013] The data collection module, data analysis module, strategy management module, feedback module and optimization and update module are all interconnected with the database through data transmission technology to store and obtain data.

[0014] Preferably, the data acquisition module includes an operation recording unit, an interaction recording unit and an environment acquisition unit. The operation recording unit is used to record the operation details of the financial digital employee when performing various tasks, including but not limited to operations on transaction processing, such as transaction initiation, approval, execution amount, transaction object, queried database table, used query conditions, and analyzed data range. The interaction recording unit is used to obtain the interaction between the financial digital employee and other systems and users. The environment acquisition unit is used to collect environmental data when the financial digital employee is running.

[0015] Preferably, the data analysis module includes a data preprocessing unit, a behavior pattern analysis unit and a performance evaluation unit. The data preprocessing unit is used to clean and format the collected behavior data, remove duplicate, erroneous or incomplete data records, and convert data from different sources into a unified format for subsequent analysis. The behavior pattern analysis unit is used to analyze the preprocessed behavior data and identify the behavior patterns of digital employees. The performance evaluation unit is used to analyze the obtained behavior patterns and pre-set performance indicators to evaluate the performance of financial digital employees.

[0016] Preferably, the policy management module includes a business goal acquisition unit, which is connected to the target model calculation unit through data transmission technology, and is used to obtain goals in financial business and model the behavior of financial digital employees for calculation. The target model calculation units are connected to the accuracy index measurement unit and the efficiency index determination unit through data transmission technology, and are used to measure the accuracy of financial digital employees in performing tasks and determine the efficiency-related indicators of digital employees in completing tasks. The accuracy index measurement unit and the efficiency index determination unit are connected to the rule construction unit and the authority management unit through data transmission technology, and are used to determine the authority management of customer accounts based on the specific rules for financial digital employees in various business operations. The rule construction unit and the authority management unit are connected to the risk assessment unit through data transmission technology, and are used to determine the risk level of the customer account. The risk assessment unit is connected to the decision adjustment unit through data transmission technology, and is used to make decisions on adjusting strategies based on the results of monitoring and evaluation.

[0017] Preferably, the feedback module includes a problem acquisition unit, which is connected to the suggestion generation unit through data transmission technology, and is used to generate feedback suggestions based on the problems encountered by financial digital employees during the operation process. The problem acquisition unit and the suggestion generation unit are both connected to the feedback merging unit through data transmission technology, and are used to merge the problems and feedback suggestions. The feedback merging unit is connected to the report generation unit through data transmission technology, and is used to generate reports. The report generation unit is connected to the problem determination unit through data transmission technology. The problem determination units are all connected to the internal notification unit through data transmission technology, and are used to determine the cause of the problem and decide whether to notify the internal notification or the customer.

[0018] Preferably, the optimization and update module includes a feedback collection unit, which is connected to the scenario construction unit through data transmission technology, and is used to collect feedback suggestions, and to construct scenarios and restore problem scenarios. The scenario construction unit is connected to the simulation execution unit through data transmission technology, and the simulation execution unit is connected to the result analysis unit through data transmission technology, and is used to simulate problem scenarios and perform result analysis on the problems. The scenario construction unit is also connected to the optimization training unit through data transmission technology, and the optimization training unit is connected to the training analysis unit through data transmission technology, and is used to perform optimization training on the problem scenarios and analyze the results. Both the result analysis unit and the training analysis unit are connected to the comparison analysis unit through data transmission technology, and are used to compare the two analysis results and obtain the optimal solution to the problem. The comparison analysis unit is connected to the model optimization unit through data transmission technology, and the model optimization unit is connected to the model update unit through data transmission technology, and is used to optimize the model and improve the speed of decision management.

[0019] The behavior feedback system for financial digital employees provided by the present invention has the following beneficial effects:

[0020] 1. By setting clear goals, indicators and rules, financial institutions can more accurately control the behavior of digital employees and ensure that they complete various tasks efficiently under the premise of compliance. At the same time, the strategy management module can dynamically adjust according to market changes and business needs, and timely update the behavior strategy of digital employees to ensure that they always adapt to the development of financial business.

[0021] 2. When the behavior of digital employees deviates or needs to be improved, the optimization and update module can quickly analyze the root cause of the problem and propose targeted solutions. By continuously optimizing the algorithms, business processes and rule settings of digital employees, financial institutions can improve the performance and adaptability of digital employees and provide customers with better financial services. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 The overall system diagram of the behavior feedback system for financial digital employees provided for this application;

[0024] Figure 2 A schematic diagram of a data collection module system for the behavior feedback system of financial digital employees provided for this application;

[0025] Figure 3 A schematic diagram of a data analysis module system for the behavior feedback system of financial digital employees provided for this application;

[0026] Figure 4 A schematic diagram of a strategy management module system for the behavior feedback system for financial digital employees provided for this application;

[0027] Figure 5 A schematic diagram of the feedback module system of the behavior feedback system for financial digital employees provided for this application;

[0028] Figure 6 A schematic diagram of the optimization and update module system of the financial digital employee behavior feedback system provided in this application.

[0029] In the figure: 1. Data acquisition module; 2. Data analysis module; 3. Strategy management module; 4. Feedback module; 5. Optimization and update module; 6. Database; 7. Operation recording unit; 8. Interaction recording unit; 9. Environment acquisition unit; 10. Data preprocessing unit; 11. Behavior pattern analysis unit; 12. Performance evaluation unit; 13. Business goal acquisition unit; 14. Target model calculation unit; 15. Accuracy index measurement unit; 16. Efficiency index determination unit; 17. Rule construction unit; 18. Permission management unit ; 19. Risk assessment unit; 20. Decision adjustment unit; 21. Problem acquisition unit; 22. Suggestion generation unit; 23. Feedback merging unit; 24. Report generation unit; 25. Problem determination unit; 26. Internal notification unit; 27. External notification unit; 28. Feedback collection unit; 29. ​​Scenario construction unit; 30. Simulation execution unit; 31. Result analysis unit; 32. Optimization training unit; 33. Training analysis unit; 34. Comparison analysis unit; 35. Model optimization unit; 36. Model update unit. DETAILED DESCRIPTION

[0030] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples of the specification. The following examples are only used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0031] like Figure 1-Figure 6 As shown, this embodiment proposes a behavior feedback system for financial digital employees, including:

[0032] Data collection module 1, used to collect the process of financial digital employees performing operations, the interaction between them and users, and environmental data;

[0033] Data analysis module 2, used to optimize the collected data and conduct preliminary analysis and evaluation of the data;

[0034] Strategy management module 3, used to evaluate risks and generate decision-making adjustment plans based on the goals and requirements of financial business;

[0035] Feedback module 4, used to generate feedback and make notifications;

[0036] The optimization and updating module 5 is used to track the generated feedback, perform model optimization training, and update the decision generation conditions;

[0037] Database 6, used to store data of each step;

[0038] The data collection module 1, the data analysis module 2, the strategy management module 3, the feedback module 4 and the optimization and updating module 5 are all interconnected with the database 6 through data transmission technology for storing and acquiring data.

[0039] Preferably, the data acquisition module 1 includes an operation recording unit 7, an interaction recording unit 8 and an environment acquisition unit 9. The operation recording unit 7 is used to record the operation details of the financial digital employee when performing various tasks, including but not limited to operations on transaction processing, such as transaction initiation, approval, execution amount, transaction object, queried database table, used query conditions, and analyzed data range. The interaction recording unit 8 is used to obtain the interaction between the financial digital employee and other systems and users. The environment acquisition unit 9 is used to collect environmental data when the financial digital employee is running.

[0040] Preferably, the data analysis module 2 includes a data preprocessing unit 10, a behavior pattern analysis unit 11 and a performance evaluation unit 12. The data preprocessing unit 10 is used to clean and format the collected behavior data, remove duplicate, erroneous or incomplete data records, and convert data from different sources into a unified format for subsequent analysis. The behavior pattern analysis unit 11 is used to analyze the preprocessed behavior data and identify the behavior patterns of digital employees. The performance evaluation unit 12 is used to analyze the obtained behavior patterns and pre-set performance indicators to evaluate the performance of financial digital employees.

[0041] Preferably, the policy management module 3 includes a business goal acquisition unit 13, which is connected to a target model calculation unit 14 through data transmission technology, and is used to acquire goals in financial business and to model and calculate the behavior of financial digital employees. The target model calculation unit 14 is connected to an accuracy index measurement unit 15 and an efficiency index determination unit 16 through data transmission technology, and is used to measure the accuracy of financial digital employees in performing tasks and determine efficiency-related indicators for digital employees to complete tasks. The accuracy index measurement unit 15 and the efficiency index determination unit 16 are connected to a rule construction unit 17 and a permission management unit 18 through data transmission technology, and are used to determine the permission management of customer accounts based on specific rules for financial digital employees in various business operations. The rule construction unit 17 and the permission management unit 18 are connected to a risk assessment unit 19 through data transmission technology, and are used to determine the risk level of customer accounts. The risk assessment unit 19 is connected to a decision adjustment unit 20 through data transmission technology, and is used to make decisions to adjust strategies based on the results of monitoring and evaluation.

[0042] Specifically, by setting clear goals, indicators and rules, financial institutions can control the behavior of digital employees more accurately, ensuring that they complete various tasks efficiently while complying with regulations. At the same time, the strategy management module can dynamically adjust according to market changes and business needs, and timely update the behavioral strategies of digital employees so that they always adapt to the development of financial business.

[0043] Preferably, the feedback module 4 includes a problem acquisition unit 21, which is connected to the suggestion generation unit 22 through data transmission technology, and is used to generate feedback suggestions based on the problems encountered by financial digital employees during the operation process. The problem acquisition unit 21 and the suggestion generation unit 22 are both connected to the feedback merging unit 23 through data transmission technology, and are used to merge the problems and feedback suggestions. The feedback merging unit 23 is connected to the report generation unit 24 through data transmission technology, and is used to generate reports. The report generation unit 24 is connected to the problem determination unit 25 through data transmission technology. The problem determination unit 25 is connected to the internal notification unit 26 through data transmission technology, and is used to determine the cause of the problem and decide whether to notify the internal notification or the customer.

[0044] Preferably, the optimization and updating module 5 includes a feedback collection unit 28, which is connected to a scenario construction unit 29 through data transmission technology, and is used to collect feedback suggestions, and to construct scenarios and restore problem scenarios. The scenario construction unit 29 is connected to a simulation execution unit 30 through data transmission technology, and the simulation execution unit 30 is connected to a result analysis unit 31 through data transmission technology, and is used to simulate problem scenarios and perform result analysis on the problems. The scenario construction unit 29 is also connected to an optimization training unit 32 through data transmission technology, and the optimization training unit 32 is connected to a training analysis unit 33 through data transmission technology, and is used to perform optimization training on the problem scenarios and analyze the results. Both the result analysis unit 31 and the training analysis unit 33 are connected to a comparison analysis unit 34 through data transmission technology, and are used to compare the two analysis results and obtain the optimal solution to the problem. The comparison analysis unit 34 is connected to a model optimization unit 35 through data transmission technology, and the model optimization unit 35 is connected to a model update unit 36 ​​through data transmission technology, and is used to optimize the model and improve the speed of decision management.

[0045] Specifically, when the behavior of digital employees deviates or needs to be improved, the optimization and update module can quickly analyze the root cause of the problem and propose targeted solutions. By continuously optimizing the algorithms, business processes and rule settings of digital employees, financial institutions can improve the performance and adaptability of digital employees and provide customers with better financial services.

[0046] The above embodiments are only used to illustrate the present invention, but not to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that various combinations, modifications or equivalent substitutions of the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and should be included in the scope of the claims of the present invention.

Claims

1. The behavioral feedback system for financial digital employees is characterized by: include: A data collection module (1) is used to collect the process of financial digital employees performing operations, the interaction between them and users, and environmental data; A data analysis module (2), used to optimize the collected data and perform preliminary analysis and evaluation on the data; Strategy management module (3), used to evaluate risks and generate decision adjustment plans according to the goals and requirements of financial business; Feedback module (4), used for generating feedback and making notifications; The optimization and updating module (5) is used to track the generated feedback, perform model optimization training, and update the decision-making conditions; A database (6), used to store data of each step; The data collection module (1), the data analysis module (2), the strategy management module (3), the feedback module (4) and the optimization and updating module (5) are all interconnected with the database (6) through data transmission technology for storing and acquiring data.

2. The behavior feedback system for financial digital employees according to claim 1, characterized in that: The data collection module (1) comprises an operation recording unit (7), an interaction recording unit (8) and an environment collection unit (9); the operation recording unit (7) is used to record the operation details of the financial digital employee when performing various tasks, including but not limited to operations on transaction processing, such as transaction initiation, approval, execution amount, transaction object, queried database table, used query conditions, and analyzed data range; the interaction recording unit (8) is used to obtain the interaction between the financial digital employee and other systems and users; and the environment collection unit (9) is used to collect environmental data when the financial digital employee is running.

3. The behavior feedback system for financial digital employees according to claim 1, characterized in that: The data analysis module (2) comprises a data preprocessing unit (10), a behavior pattern analysis unit (11) and a performance evaluation unit (12); the data preprocessing unit (10) is used to clean and format the collected behavior data, remove duplicate, erroneous or incomplete data records, and convert data from different sources into a unified format for subsequent analysis; the behavior pattern analysis unit (11) is used to analyze the preprocessed behavior data and identify the behavior pattern of the digital employee; the performance evaluation unit (12) is used to analyze the obtained behavior pattern and pre-set performance indicators to evaluate the performance of the financial digital employee.

4. The behavior feedback system for financial digital employees according to claim 1, characterized in that: The policy management module (3) comprises a business target acquisition unit (13), the business target acquisition unit (13) is connected to a target model calculation unit (14) through data transmission technology, and is used to acquire targets in financial business and to calculate the behavior of financial digital employees by modeling. The target model calculation unit (14) is connected to an accuracy index measurement unit (15) and an efficiency index determination unit (16) through data transmission technology, and is used to measure the accuracy of the financial digital employees in performing tasks and determine the efficiency-related indicators of the digital employees in completing tasks. The accuracy index measurement unit (15) and the efficiency index determination unit (16) are connected to a rule construction unit (17) and a permission management unit (18) through data transmission technology, and are used to determine the permission management of customer accounts according to the specific rules formulated for the financial digital employees in various business operations. The rule construction unit (17) and the permission management unit (18) are connected to a risk assessment unit (19) through data transmission technology, and are used to determine the risk level of the customer account. The risk assessment unit (19) is connected to a decision adjustment unit (20) through data transmission technology, and is used to make a decision to adjust the strategy according to the results of monitoring and evaluation.

5. The behavior feedback system for financial digital employees according to claim 1, characterized in that: The feedback module (4) comprises a problem acquisition unit (21), the problem acquisition unit (21) is connected to a suggestion generation unit (22) via data transmission technology, and is used to generate feedback suggestions according to the problems encountered by the financial digital employees during the operation process; the problem acquisition unit (21) and the suggestion generation unit (22) are both connected to a feedback merging unit (23) via data transmission technology, and are used to merge the problems and feedback suggestions; the feedback merging unit (23) is connected to a report generation unit (24) via data transmission technology, and is used to generate a report; the report generation unit (24) is connected to a problem determination unit (25) via data transmission technology; the problem determination unit (25) is connected to an internal notification unit (26) via data transmission technology, and is used to determine the cause of the problem and decide whether to notify the internal notification or notify the customer.

6. The behavior feedback system for financial digital employees according to claim 1, characterized in that: The optimization update module (5) includes a feedback collection unit (28), the feedback collection unit (28) is connected to a scenario construction unit (29) through data transmission technology, and is used to collect feedback suggestions, and to construct a scenario to restore the problem scenario. The scenario construction unit (29) is connected to a simulation execution unit (30) through data transmission technology, and the simulation execution unit (30) is connected to a result analysis unit (31) through data transmission technology, and is used to simulate the problem scenario and perform result analysis on the problem. The scenario construction unit (29) is also connected to an optimization training unit (32) through data transmission technology, and the optimization training unit (32) is connected to the optimization training unit (32). The training unit (32) is connected to the training analysis unit (33) through data transmission technology, and is used to optimize the training of the problem scenario and analyze the results. The result analysis unit (31) and the training analysis unit (33) are both connected to the comparison analysis unit (34) through data transmission technology, and are used to compare the two analysis results to obtain the optimal solution to the problem. The comparison analysis unit (34) is connected to the model optimization unit (35) through data transmission technology, and the model optimization unit (35) is connected to the model update unit (36) through data transmission technology, and is used to optimize the model and improve the speed of decision management.

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