JP7614643B2 - Information processing device, program, and information processing method - Google Patents

Description

The present invention relates to an information processing device, a program, and an information processing method.

In order to carry out accounting work in a company, it is necessary to undergo regular audits (for example, monthly audits). In such audits, a trial balance or trial balance is prepared from the company's books (for example, general ledger) to check whether the figures in the accounting books are correct and whether there are any inappropriate points. If the figures in the accounting books are incorrect, it means that there is an error in the journal entry. Therefore, it is necessary to closely examine related books other than the accounting books to find errors and correct them.
Generally, such audits are mainly requested by companies to tax accountants. It takes a lot of time and effort to discover deficiencies in accounting books through such audits.

Patent Document 1 discloses an accounting processing device that performs automatic journal entries. The accounting processing device of Patent Document 1 selects journal entry elements, which are characteristic points, based on a trained model generated using journal entry data as training data, and judges the journal entry.

Patent No. 6581281

The main causes of errors in accounting entries in such audits are discrepancies with tax rules, errors in individual account headings, or account headings with large fluctuations compared to past data. Of these, discrepancies with tax rules and errors in individual account headings are relatively easy to detect mechanically.
On the other hand, it is difficult to mechanically detect the cause of errors in account items that have a large fluctuation rate compared to past data.

Even if the accounting processing device in Patent Document 1 detects an abnormality, it does not know the cause of the error. Therefore, the user of the accounting processing device (e.g., a tax accountant) must inquire about the cause of the error from the company.

As such, traditionally, a worker (e.g., a tax accountant) performing a task (e.g., accounting) would have to take the time to contact the client (e.g., the company that holds the books) to correct the anomaly.

The purpose of this invention is to reduce the effort required for business workers to contact business requesters.

One aspect of the present invention is
A means for identifying abnormal task information including an abnormality by referring to task information related to a task requested by a requester to a worker,
means for generating question information corresponding to the abnormal operation information;
means for presenting the question information to the requester;
means for acquiring answer information regarding an answer of the requester to the question information from the requester,
a means for storing the abnormal operation information, the question information, and answer information to the question information in association with each other;
It is an information processing device.

1 is a block diagram showing a configuration of an information processing system according to an embodiment of the present invention; FIG. 2 is a functional block diagram of the information processing system of FIG. 1 . FIG. 1 is an explanatory diagram of an overview of the present embodiment. FIG. 2 is a diagram showing a data structure of a client information database according to the present embodiment. FIG. 2 is a diagram showing a data structure of a worker information database according to the present embodiment. FIG. 2 is a diagram showing the data structure of a transaction information database according to this embodiment. FIG. 2 is a diagram showing a data structure of an anomaly information database according to the present embodiment. FIG. 11 is a sequence diagram of a requester registration process according to the present embodiment. 9A and 9B are diagrams showing examples of screens displayed in the information processing of FIG. 8; FIG. 2 is a sequence diagram of information processing according to the present embodiment. 11A and 11B are diagrams showing examples of screens displayed in the information processing of FIG. 10; 11A and 11B are diagrams showing examples of screens displayed in the information processing of FIG. 10; 11A and 11B are diagrams showing examples of screens displayed in the information processing of FIG. 10; FIG. 13 is a diagram showing an overview of a first example of modified example 2. FIG. 13 is a diagram showing an overview of a second example of the modified example 2. FIG. 13 is a sequence diagram of an alert process according to the third modified example. FIG. 17 is a diagram showing an example of a screen displayed in the information processing of FIG. 16. FIG. 17 is a diagram showing an example of a screen displayed in the information processing of FIG. 16. FIG. 17 is a diagram showing an example of a screen displayed in the information processing of FIG. 16. FIG. 13 is a diagram showing a modification of FIG. 12 .

One embodiment of the present invention will be described in detail below with reference to the drawings. In the drawings used to explain the embodiment, the same components are generally designated by the same reference numerals, and repeated explanations will be omitted.

(1) Configuration of the Information Processing System The configuration of the information processing system will be described below. Fig. 1 is a block diagram showing the configuration of the information processing system of this embodiment. Fig. 2 is a functional block diagram of the information processing system of Fig. 1.

As shown in FIG. 1, the information processing system 1 includes a requester client device 10 (an example of a “first client device”), a worker client device 20 (an example of a “second client device”), and a server 30 .
The requester client device 10, the worker client device 20, and the server 30 are connected via a network (for example, the Internet or an intranet) NW.

The requester client device 10 is a computer (an example of an "information processing device") that sends a request to the server 30. The requester client device 10 is a client device used by a requester who requests work to be performed by a worker. The requester client device 10 is, for example, a smartphone, a tablet terminal, or a personal computer.

The worker client device 20 is a computer (an example of an "information processing device") that sends a request to the server 30. The worker client device 20 is a client device used by a worker who performs work requested by a requester. The worker client device 20 is, for example, a smartphone, a tablet terminal, or a personal computer.

The server 30 is a computer (an example of an "information processing device") that provides the requester client device 10 or the worker client device 20 with a response in response to a request sent from the requester client device 10 or the worker client device 20. The server 30 is, for example, a web server.

(1-1) Configuration of the Requester Client Device The configuration of the requester client device 10 will be described.

As shown in FIG. 2, the requester client device 10 includes a storage device 11, a processor 12, an input/output interface 13, and a communication interface 14.

The storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of Read Only Memory (ROM), Random Access Memory (RAM), and storage (for example, flash memory or a hard disk).

The programs include, for example, the following programs:
- Operating System (OS) programs - Applications (e.g. web browsers or messaging applications) that perform information processing

The data includes, for example, the following data:
- Databases referenced in information processing - Data obtained by executing information processing (i.e., the results of executing information processing)

The processor 12 is configured to realize the functions of the requester client device 10 by starting a program stored in the storage device 11. The processor 12 is, for example, a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination of these.

The input/output interface 13 is configured to obtain user instructions from an input device connected to the requester client device 10 , and to output information to an output device connected to the requester client device 10 .
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 14 is configured to control communication between the requester client device 10 and the server 30.

(1-2) Configuration of the Worker Client Device The configuration of the worker client device 20 will be described.

As shown in FIG. 2, the worker client device 20 includes a storage device 21, a processor 22, an input/output interface 23, and a communication interface 24.

The storage device 21 is configured to store programs and data. The storage device 21 is, for example, a combination of ROM, RAM, and storage (e.g., flash memory or a hard disk).

The programs include, for example, the following programs:
- OS programs - Programs for applications that execute information processing (e.g. web browsers, mailers, or messaging applications)

The data includes, for example, the following data:
- Databases referenced in information processing - Data obtained by executing information processing (i.e., the results of executing information processing)

The processor 22 is configured to realize the functions of the worker client device 20 by starting the programs stored in the storage device 21. The processor 22 is, for example, a CPU, an ASIC, an FPGA, or a combination of these.

The input/output interface 23 is configured to obtain user instructions from an input device connected to the worker client device 20 , and to output information to an output device connected to the worker client device 20 .
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 24 is configured to control communication between the worker client device 20 and the server 30.

(1-3) Server Configuration The configuration of the server 30 will be described.

As shown in FIG. 2, the server 30 includes a storage device 31, a processor 32, an input/output interface 33, and a communication interface 34.

The storage device 31 is configured to store programs and data. The storage device 31 is, for example, a combination of ROM, RAM, and storage (e.g., flash memory or a hard disk).

The programs include, for example, the following programs:
・OS programs ・Application programs that perform information processing

The data includes, for example, the following data:
- Databases referenced in information processing - Results of information processing

The processor 32 is configured to realize the functions of the server 30 by starting the programs stored in the storage device 31. The processor 32 is, for example, a CPU, an ASIC, an FPGA, or a combination of these.

The input/output interface 33 is configured to receive user instructions from an input device connected to the server 30 , and to output information to an output device connected to the server 30 .
The input device is, for example, a keyboard, a pointing device, a touch panel, or a combination thereof.
The output device is, for example, a display.

The communication interface 34 is configured to control communication between the server 30 and the requester client device 10 and the worker client device 20.

(2) Overview of the embodiment The overview of the embodiment will be described with reference to FIG.

As shown in FIG. 3, the server 30 determines whether or not the business information (e.g., transaction information) contains an anomaly.
When the business information includes anomaly information, the server 30 transmits question information to the requester client device 10 to inquire about details of the anomaly information.

The requester client device 10 transmits response information to the server 30 in response to instructions from the requester (e.g., a financial accounting officer of a corporation).

The server 30 stores the anomaly information, the question information, and the answer information in association with each other.
The server 30 transmits the abnormality information, the question information, and the answer information to the worker client device 20 .

The worker client device 20 presents the anomaly information, question information, and answer information to the worker (e.g., a tax accountant).

This allows the worker to obtain the information necessary to correct the anomaly from the response information without having to inquire of the requester.

(3) Database The database of this embodiment will be described. The following database is stored in the storage device 31.

(3-1) Client Information Database The client information database of this embodiment will be described below with reference to Fig. 4, which shows the data structure of the client information database of this embodiment.

The requester information database in Fig. 4 stores requester information. The requester information is information relating to a requester.
The requester information database includes a "requester ID" field, a "requester name" field, a "contact" field, a "requester attribute" field, a "performance" field, a "type" field, a "corporation number" field, an "address/telephone number" field, a "person in charge" field, and a "settlement terms" field. Each field is associated with the others.

The "Requester ID" field stores the requester identification information. The requester identification information is information that identifies the requester.

The "Requester Name" field stores requester name information. Requester name information is information about the name of the requester.

The "Contact" field stores requester contact information. The requester contact information is information related to the requester's contact information (e.g., the destination to which question information should be sent). The requester contact information includes, for example, at least one of the following:
・Communication service account ・Social networking service account ・Email address ・Telephone number

The "Requester Attributes" field stores requester attribute information. Requester attribute information is information about the attributes of the requester. The "Requester Attributes" field includes a "Establishment Date" field, a "Capital" field, and a "Number of Employees" field.

The "Establishment Date" field stores establishment date information. Establishment date information is information about the establishment date of the client (e.g., a company).

The "Capital" field stores capital information. Capital information is information about the client's capital.

The "Number of employees" field stores information about the number of employees. The information about the number of employees of the requester.

The "Performance" field stores performance information. Performance information is information about the client's performance.

The "Type" field stores requester type information. Requester type information is information about the type of business entity of the requester (e.g., individual or corporation).

The "Corporate Number" field stores corporate number information. Corporate number information is information that identifies the client's corporate entity if the client's business entity is a corporation.

The "Address/Phone Number" field stores information about the requester's address and phone number.

The "Contact Person Name" field stores contact person name information. Contact person name information is information about the name of the requester's contact person.

The "Settlement terms" field stores settlement terms information. The settlement terms information is information related to the client's settlement terms. The settlement terms include, for example, the following information:
・Beginning balance ・Treatment of consumption tax (for example, tax exemption, simplified taxation, general taxation (individual response method) or general taxation (lump sum proportional allocation method))
・Accounting period ・Fiscal month

(3-2) Worker Information Database The worker information database of this embodiment will be described below with reference to Fig. 5, which is a diagram showing the data structure of the worker information database of this embodiment.

Worker information is stored in the worker information database of Fig. 5. The worker information is information relating to workers.
The worker information database includes a "worker ID" field, a "worker name" field, a "worker attribute" field, and a "task assigned" field. Each field is associated with the others.

The "Worker ID" field stores the worker identification information. The worker identification information is information that identifies the worker.

The "Worker name" field stores the worker name information. The worker name information is information about the name of the worker.

The "Contact" field stores worker contact information. The worker contact information is information about the worker's contact information (e.g., the destination to which task information, question information, and answer information are sent). The worker contact information includes, for example, at least one of the following:
・Communication service account ・Social networking service account ・Email address ・Telephone number

The "Worker Attributes" field stores worker attribute information. Worker attribute information is information about the attributes of a worker. The "Worker Attributes" field includes a "Specialty" field and an "Affiliation" field.

The "Specialty" field stores speciality information. Specialty information is information about the worker's field of expertise.

The "Affiliation" field stores affiliation information. Affiliation information is information about the organization (e.g., company name) to which the worker belongs.

The "Assigned Work" field stores assigned work information. Assigned work information is information about the work that the worker has been assigned. The "Assigned Work" field includes a "Work ID" field, a "Work Type" field, and a "Requester ID" field.

The "Task ID" field stores task identification information. Task identification information is information that identifies the task being assigned.

The "task type" field stores task type information. Task type information is information about the type of task being assigned.

The "Requester ID" field stores the requester identification information of the requester who requested the task.

(3-3) Transaction Information Database The transaction information database of this embodiment will now be described. Figure 6 is a diagram showing the data structure of the transaction information database of this embodiment.

Transaction information (an example of "business information") is stored in the transaction information database in Figure 6. Transaction information is information related to transactions.
The transaction information database includes a "transaction ID" field, a "transaction date and time" field, a "debit" field, a "credit" field, and a "balance" field. Each field is associated with the others.
The transaction information database is associated with the business identification information.

The "Transaction ID" field stores transaction identification information. Transaction identification information is information that identifies a transaction.

The "Transaction Date and Time" field stores transaction date and time information. Transaction date and time information is information about the date and time of the transaction.

The "Debit" field stores debit information. Debit information is information about the debit side of a transaction.

The "Credit" field stores credit information. Credit information is information about the credit side of a transaction.

The "Balance" field stores balance information. This is information about the balance after the transaction.

(3-4) Anomaly Information Database The anomaly information database of this embodiment will now be described with reference to Fig. 7, which is a diagram showing the data structure of the anomaly information database of this embodiment.

Anomaly information is stored in the anomaly information database of Fig. 7. The anomaly information is information relating to anomalies in transactions.
The anomaly information database includes an "anomaly ID" field, a "transaction ID" field, an "anomaly type code" field, a "question date and time" field, a "question" field, a "answer date and time" field, and a "answer" field. Each field is associated with the others.
The anomaly information database is associated with the task identification information.

The "Anomaly ID" field stores anomaly identification information. The anomaly identification information is information that identifies an anomaly.

The "Transaction ID" field stores the transaction identification information of the transaction that contains the anomaly.

The "Anomaly type code" field stores the anomaly type code for the type of transaction anomaly.

The "Question date and time" field stores question date and time information. The question date and time information is information about the date and time when the server 30 sent the question information to the requester client device 10 (hereinafter referred to as "question date and time").

The "Question" field stores the question sent to the requester.

The "Answer date and time" field stores answer date and time information. The answer date and time information is information about the date and time when the server 30 obtained the answer information (hereinafter referred to as the "answer date and time").

The "Answer" field stores answer information. Answer information is information about the requester's answer to the question information.

(4) Information Processing The information processing of this embodiment will be described.
(4-1) Requester Registration Processing The requester registration processing of this embodiment will be described. Fig. 8 is a sequence diagram of the requester registration processing of this embodiment. Fig. 9 is a diagram showing an example of a screen displayed in the information processing of Fig. 8.

The process in FIG. 8 is triggered by a worker logging in (e.g., input of worker identification information and password).

The worker client device 20 executes reception of a user instruction (S1120).
Specifically, the processor 22 displays screen P1120 (FIG. 9) on the display.

Screen P1120 includes operation object B1120 and field objects F1120 to F1121.

The field object F1120 is an object that receives input of client information of a client to be consulted. The client information includes, for example, the following:
- Type information (corporate or individual)
・Corporate number ・Requester name ・Address ・Telephone number ・Requester contact information ・Contact person name (for example, main contact person name and deputy contact person name)
・Requester attributes

When the worker inputs a corporate number, the processor 22 automatically inputs the requester's name (corporate name), address, and telephone number into field object F1120 by obtaining corporate information associated with the corporate number from an external server that stores corporate numbers and corporate information (for example, corporate name, address, and telephone number) in association with each other.

The field object F1121 is an object that receives the input of the client's settlement condition information. The settlement condition information includes, for example, the following:
- Beginning balances (for example, a file of documents showing beginning balances)
・Handling of consumption tax (for example, tax exemption, simplified taxation, general taxation (individual response method) or general taxation (lump sum proportional allocation method))
・Accounting period ・Fiscal month

Operation object B1120 is an object that accepts user instructions to confirm input to field objects F1120 to F1121.

After step S1120, the worker client device 20 executes a requester registration request (S1121).
Specifically, when the worker inputs predetermined information into the field objects F1120 to F1121 and operates the operation object B1120, the processor 22 transmits requester registration request data to the server 30. The requester registration request data includes, for example, the following:
Worker identification information Information entered in the field object F1120 Information entered in the field object F1121

After step S1121, the server 30 executes updating of the database (S1130).
Specifically, the processor 32 adds a new record to the client information database (FIG. 4). The following information is stored in each field of the new record:
・ "Requester ID" field: New requester identification information ・ "Requester name" field: Requester name information included in the requester registration request data ・ "Contact" field: Requester contact information included in the requester registration request data ・ "Requester attribute" field: Requester attribute information included in the requester registration request data ・ "Achievements" field: Achievements information included in the requester registration request data ・ "Type" field: Type information included in the requester registration request data ・ "Corporate number" field: Corporate number information included in the requester registration request data ・ "Address/telephone number" field: Information regarding the address and telephone number included in the requester registration request data ・ "Contact person name" field: Contact person name information included in the requester registration request data ・ "Settlement terms" field: Settlement terms information included in the requester registration request data

(4-2) Alert Processing The alert processing of this embodiment will be described. Fig. 10 is a sequence diagram of the information processing of this embodiment. Fig. 11 is a diagram showing an example of a screen displayed in the information processing of Fig. 10. Fig. 12 is a diagram showing an example of a screen displayed in the information processing of Fig. 10. Fig. 13 is a diagram showing an example of a screen displayed in the information processing of Fig. 10.

The process in FIG. 10 is triggered by a worker logging in (e.g., input of worker identification information and password).

The worker client device 20 executes reception of a user instruction (S1220).
Specifically, the processor 22 displays a screen P1220 (FIG. 11) of an application (for example, a web browser, a mailer, or a messaging application) installed in the worker client device 20 on the display.

Screen P1220 includes operation object B1220 and field object F1220.

Operation object B1220 is an object that accepts user instructions to request anomaly confirmation.

The field object F1220 is an object that receives designation of task identification information of a task that is the target of anomaly confirmation (hereinafter referred to as "target task"). The field object F1220 displays task identification information, task type information, and requester identification information associated with the worker identification information in the worker information database (FIG. 5).
The target business includes, for example, at least one of the following:
・Taxation work ・Contract work ・Intellectual property rights application work ・Accounting work

After step S210, the worker client device 20 executes an abnormality confirmation request (S1221). Specifically, when the worker specifies the task identification information of the desired target task in the field object F1220 and operates the operation object B1220, the processor 22 transmits abnormality confirmation request data to the server 30. The abnormality confirmation request data includes the following information.
Worker identification information of the worker Worker identification information, work type information, and requester identification information of the target work

After step S1221, the server 30 executes abnormality identification (S1230).
Specifically, an abnormality determination model for each task type is stored in the storage device 31. An algorithm for identifying the type of abnormality in task information is described in the abnormality determination model. The abnormality determination model is, for example, a learned model or a rule-based algorithm.
The processor 32 inputs accounting information from the transaction information database ( FIG. 6 ) associated with the transaction identification information included in the anomaly confirmation request data into the anomaly determination model that corresponds to the transaction type information included in the anomaly confirmation request data, and outputs the transaction identification information of records that contain an anomaly (hereafter referred to as "abnormal records") and an anomaly type code that indicates the type of the anomaly. Abnormal record information is an example of abnormal transaction information.

After step S1230, the server 30 generates a question (S1231).
Specifically, a question generation model is stored in the storage device 31. The question generation model describes a correlation between anomaly types and question information. The question generation model is, for example, a learned model or a rule-based algorithm.
The processor 32 outputs question information by inputting the abnormality type code identified in step S1230 into the question generation model.

After step S1231, the server 30 executes a reply request (S1232).
Specifically, the processor 32 refers to the worker information database (FIG. 5) to identify the requester identification information associated with the task identification information included in the abnormality confirmation request data.
Processor 32 consults a requester information database (FIG. 4) to identify requester contact information associated with the identified requester identification information.
The processor 32 transmits the reply request data to a client device 10 (e.g., a client client device 10 running a messaging application running on a communication service account) corresponding to the identified client contact information. The reply request data includes the following information:
- Question information obtained in step S1231 - Accounting information of the abnormal record

The processor 32 adds a new record to the anomaly information database (FIG. 7) associated with the task identification information included in the anomaly confirmation request data. The following information is stored in each field of the new record.
"Anomaly ID" field: new anomaly identification information; "Transaction ID" field: transaction identification information of a transaction including an anomaly; "Question date and time" field: information related to the date and time of execution of step S1232; "Question" field: question information included in the answer request data

After step S1232, the requester client device 10 executes reception of the reply (S1210).
Specifically, the processor 12 displays a screen P1210 (FIG. 12) of an application (for example, a web browser, a mailer, or a messaging application) installed on the requester client device 10 on the display.

Screen P1210 includes a display object A1210, a timeline TL, and an operation object B1210.

The accounting information of the abnormal record is displayed in the display object A 1210a.
The timeline TL10 includes timeline objects TL10a to TL10b. Messages are displayed in the timeline objects TL10a to TL10b. The timeline objects TL10a to TL10b are arranged according to the date and time when the messages were posted.
Question information is displayed on the timeline object TL10a. Five questions, question (1) to question (5), are illustrated in Fig. 12. Anomaly identification information of the anomaly that is the basis of the question is assigned to each question.
The timeline object TL10b is an object that accepts input of response information from a requester to question information. In Fig. 12, answer columns (1) to (5) for accepting responses to five questions (1) to (5) are illustrated. The anomaly identification information assigned to questions (1) to (5) is assigned to each of the answer columns (1) to (5), respectively.
The operation object B 1210 is an object that receives a user instruction for transmitting the answer information input to the timeline object TL 10 b to the server 30 .

After step S1210, the requester client device 10 executes a reply response (S1211).
Specifically, when the requester inputs answer information to the timeline object TL10b and operates the operation object B1210, the processor 12 transmits answer response data to the server 30. The answer response data includes, for example, the following information.
Answer information input to the timeline object TL10b Anomaly identification information assigned to question information corresponding to the answer information

After step S1211, the server 30 executes updating of the database (S1233).
Specifically, the processor 32 stores the following information in each field corresponding to the anomaly identification information included in the answer response data in the new record added in step S1232:
"Answer date and time" field: Information related to the execution date and time of step S1233 "Answer" field: Answer information included in the answer response data

After step S1233, the server 30 executes an abnormality confirmation response (S1234).
Specifically, the processor 32 transmits the abnormality confirmation response data to the worker client device 20. The abnormality confirmation response data includes the following information.
Information stored in each field of the new record in step S1233 (i.e., anomaly identification information, transaction identification information, anomaly type code, question information, and answer information)
Accounting information stored in the accounting information database ( FIG. 6 ) associated with the business identification information included in the anomaly confirmation request data Requester information associated with the accounting information (e.g., requester attribute information and business performance information)

After step S1234, the worker client device 20 executes presentation of the result of the abnormality confirmation (S1222).
Specifically, the processor 22 displays a screen P1221 (FIG. 13) of the application installed in the worker client device 20 on the display.

Screen P1221 includes display object A1221, timeline TL21, and operation objects B1221a to B1221b.

Display object A 1221 displays the transaction information contained in the anomaly confirmation response data.
The timeline TL21 includes timeline objects TL21a to TL21b. Messages are displayed in the timeline objects TL21a to TL21b. The timeline objects TL21a to TL21b are arranged in accordance with the date and time when the messages were posted.
Question information is displayed on the timeline object TL21a.
The timeline object TL21b displays answer information.
Operation object B 1221a is an object that accepts user instructions (an example of a "correction instruction") for automatically correcting the transaction information based on the response information.
Operation object B 1221b is an object that accepts user instructions (an example of a "correction instruction") to manually correct the transaction information based on the response information.

After step S1222, the worker client device 20 executes the correction request (S1223).
Specifically, when the worker operates the timeline TL10 and the operation object B 1221a, the processor 22 transmits correction request data to the server 30. The correction request data includes the following information.
Anomaly identification information assigned to the timeline object TL21a

After step S1223, the server 30 executes correction of the abnormality (S1235).
Specifically, the storage device 31 stores an anomaly correction model. The anomaly correction model describes the correlation between answer information and correction content. The anomaly correction model is, for example, a trained model or a rule-based algorithm. As an example, the anomaly correction model learns the correlation between an answer about the cause of an anomaly in the amount (for example, the existence of a difference by the amount of a bank transfer fee) and a correction result of the anomaly (for example, the difference has been corrected by the amount of the bank transfer fee).
The processor 32 refers to the anomaly information database (FIG. 7) to identify the response information associated with the anomaly identification information included in the correction request data.
The processor 32 inputs the identified response information into the anomaly correction model, and outputs correction contents according to the anomaly correction model.

After step S1235, the server 30 executes updating of the database (S1236).
Specifically, the processor 32 refers to the anomaly information database (FIG. 7) to identify the transaction identification information associated with the anomaly identification information included in the correction request data.
Processor 32 updates at least one of the transaction information items associated with the identified transaction identification information in the transaction information database (FIG. 6) with the modifications obtained in step S1235.

(5) Summary of the Present Invention According to the present invention, the server 30 generates question information for inquiring about information required to correct the abnormal information. This reduces the amount of work required for an operator (e.g., a tax accountant) to inquire about information required to correct the abnormal information from a client (e.g., a financial accountant).

(6) Modifications Modifications of the present embodiment will now be described.

(6-1) Modification 1
A description will now be given of Modification 1. Modification 1 is an example in which abnormality information is corrected in response to an instruction from an operator.

(6-1-1) Information Processing The information processing of the first modification will be described.

In the second example of step S1223, when the worker operates operation object B1221b, the processor 22 displays a correction screen on the display.

The correction screen includes objects that accept input of anomaly identification information and correction details from the operator.

When the worker inputs the anomaly identification information and the correction content to the object, the processor 22 transmits correction request data to the server 30. The correction request data includes the following information.
- Anomaly identification information entered by the operator - Correction details entered by the operator

After step S1223, the server 30 performs database update (S1236) as in this embodiment (Figure 10).

(6-1-2) Summary of Modification 1 According to Modification 1, the anomaly information is modified according to the instruction of the worker. This makes it possible to provide the worker with an environment in which the worker can modify the anomaly information as desired without inquiring of the requester.

(6-2) Modification 2
The second modification will now be described.

(6-2-1) First Example of Modification 2 A first example of modification 2 will be described. The first example of modification 2 is an example in which the present embodiment is applied to a contract operation. FIG. 14 is a diagram showing an overview of the first example of modification 2.

As shown in FIG. 14, the server 30 determines whether or not business information (for example, a draft contract) contains an anomaly.
When the business information includes anomaly information, the server 30 transmits question information to the requester client device 10 to inquire about details of the anomaly information.

The requester client device 10 transmits response information to the server 30 according to instructions from the requester (e.g., a corporate contract manager).

The server 30 stores the anomaly information, the question information, and the answer information in association with each other.
The server 30 transmits the abnormality information, the question information, and the answer information to the worker client device 20 .

The worker client device 20 presents the anomaly information, question information, and answer information to the worker (e.g., a lawyer).

(6-2-2) Second Example of Modification 2 A second example of modification 2 will be described. The second example of modification 2 is an example in which the present embodiment is applied to intellectual property business. FIG. 15 is a diagram showing an overview of the second example of modification 2.

As shown in FIG. 15, the server 30 determines whether business information (e.g., a draft of a patent application document) contains an anomaly.
When the business information includes anomaly information, the server 30 transmits question information to the requester client device 10 to inquire about details of the anomaly information.

The requester client device 10 transmits response information to the server 30 according to instructions from the requester (e.g., a patent officer at a corporation).

The server 30 stores the anomaly information, the question information, and the answer information in association with each other.
The server 30 transmits the anomaly information, the question information, and the answer information to the worker client device 20 .

The worker client device 20 presents the anomaly information, question information, and answer information to the worker (e.g., a patent attorney).

(6-2-2) Summary of Variation 2 According to Variation 2, even when the worker is a lawyer (i.e., contract work) or a patent attorney (i.e., intellectual property work), similarly to the present embodiment, it is possible to reduce the amount of work required for the worker to inquire of a client (e.g., a corporation's contract or patent officer) about information required to correct abnormal information.

(6-3) Modification 3
A description will now be given of Modification 3. Modification 3 is an example in which the worker selects the alert to be sent to the requester client device 10.

(6-3-1) Alert Processing of Modification 3 The alert processing of modification 3 will be described. Fig. 16 is a sequence diagram of the alert processing of modification 3. Fig. 17 is a diagram showing an example of a screen displayed in the information processing of Fig. 16. Fig. 18 is a diagram showing an example of a screen displayed in the information processing of Fig. 16. Fig. 19 is a diagram showing an example of a screen displayed in the information processing of Fig. 16.

The process in FIG. 16 is triggered by a worker logging in (e.g., input of worker identification information and password).

The worker client device 20 executes the steps from receiving a user instruction (S1220) to requesting abnormality confirmation (S1221) in the same manner as in FIG.
After step S1221, the server 30 executes the steps from identifying anomaly (S1230) to generating a question (S1231) in the same manner as in FIG.

After step S1231, the server 30 transmits the result of the abnormality identification (S2130).
Specifically, the processor 32 transmits to the worker client device 20 the transaction identification information and the abnormality type code of the abnormal record identified in step S1230, and the question information generated in step S1231.

After step S1232, the worker client device 20 executes presentation of the result of the abnormality identification (S2120).
Specifically, the processor 22 displays screen P2120 (FIG. 17) on the display.

Screen P2120 includes operation objects B2120a to B2120g and field object F2120.

Field object F2120 displays the requester's name and the requester's settlement terms information (e.g., settlement month, accounting period, and information regarding the handling of consumption tax). Field object F2120 is an object that accepts user instructions to change the requester.

Operation object B2120a is an object that accepts user instructions to upload a document file containing the client's accounting information to server 30.

Operation object B2120b is an object that accepts user instructions to set conditions (e.g., settlement conditions) required for the client's audit.

Operation object B2120c is an object that performs an audit and accepts user instructions to display an alert.

Operation object B2120d is an object that accepts user instructions to set the display period of the alert (e.g., the month within the accounting period). The content of the alert displayed in operation object B2120g changes depending on the display period specified in operation object B2120d.

Operation object B2120e is an object that accepts user instructions to display screen P2122.

Operation object B2120f is an object that accepts user instructions to set the display type of the abnormality. The content of the alert displayed in operation object B2120g changes depending on the display type specified in operation object B2120f.

The operation object B2120g is an object that accepts a user instruction to specify the display conditions (e.g., account item, sub-account, or alert content) of the alert to be displayed on the screen P2121. The number of abnormalities is displayed for each display condition. The display conditions include, for example, the following:
Double counting Balances (for example, negative balances or abnormally increased balances)
- Settlement (for example, correction of fees)
- Transaction details (for example, checking the balance sheet or profit and loss statement)
・Fixed assets (for example, confirmation of appropriate accounts, confirmation of the contents of fixed assets, or reduction of fixed assets)
・Repayment (for example, a request for information)
- Subjects (for example, inappropriate subjects)
・Consumables (for example, recording them as fixed assets)

When the operator specifies the account item "Accounts Receivable" and the sub-account "D Co., Ltd." in operation object B2120g, the processor 22 displays screen P2121 (Figure 18) on the display.

Screen P2121 includes display objects A2121a to A2121b and operation objects B2121a to B2121b.

Display object A2121a is an object that displays the client and account item or sub-account item specified by the worker on screen P2120.

Display object A2121b is an object that displays information about an abnormal record (e.g., line number, date, account item, sub-item, counter account item, counter sub-item, debit amount, credit amount, balance, and abnormality type) associated with the client and the combination of account items or sub-items specified by the worker on screen P2120. Transaction identification information is assigned to each abnormal record in display object A2121b.

Operation object B2121a is an object that accepts user instructions to specify the content of the alert (i.e., question information). When operation object B2121a is operated, the question information presented to the requester changes.

Operation object B2121b is an object that accepts user instructions to confirm the alert to be sent to the requester client device 10 (hereinafter referred to as the "candidate alert to be sent").

When the operator operates operation object B2121b, the processor 22 displays screen P2122 (Figure 19) on the display.

Screen P2122 includes display object A2122 and operation objects B2122a to B2122c.

Display object A2122 is an object that displays transmission candidate alerts.

Operation object B2122a is an object that accepts the specification of alerts (hereinafter referred to as "excluded alerts") that are not to be sent to the requester client device 10 among the candidate alerts for transmission.

Operation object B2122b is an object that accepts user instructions to send alerts other than excluded alerts from among the candidate alerts to the requester client device 10.

Operation object B2122c is an object that accepts a user instruction to cancel sending an alert.

After step S2120, the worker client device 20 executes an alert transmission request (S2121).
Specifically, when the worker operates the operation object B 2122b, the processor 22 transmits alert transmission request data to the server 30. The alert transmission request data includes, for example, the following information.
- requester identification information - transaction identification information assigned to the transaction corresponding to the candidate alert other than the excluded alert

After step S2121, the server 30 executes learning (S2131).
Specifically, the worker identification information and the trained model are associated and stored in the storage device 31. The trained model describes a correlation between the abnormality type code and at least one of the client attribute information, the performance information, and the type information.
The processor 32 refers to the anomaly information database (FIG. 7) to identify the anomaly type code associated with the transaction identification information included in the alert transmission request data.
The processor 32 references the transaction information database (FIG. 6) to identify the transaction identification information associated with the transaction identification information included in the alert transmission request data.
The processor 32 refers to the worker information database (FIG. 5) to identify the requester identification information associated with the identified task identification information.
The processor 32 refers to the requester information database (FIG. 4) to identify the requester attribute information, performance information, and type information associated with the identified requester identification information.
The processor 32 updates the learned model stored in association with the alert transmission request data using the identified anomaly type code and at least one of the requester attribute information, performance information, and type information.

After step S2131, the server 30 executes a reply request (S2132).
Specifically, the processor 32 refers to the client information database (FIG. 4) to identify client contact information associated with the client identification information included in the alert transmission request data.
The processor 32 transmits the reply request data to a client device 10 (e.g., a client client device 10 running a messaging application running on a communication service account) corresponding to the identified client contact information. The reply request data includes the following information:
Among the inquiry information obtained in step S1231, the inquiry information corresponding to the transaction identification information included in the alert transmission request data. Accounting information of the abnormal record.

The processor 32 adds a new record to the anomaly information database (FIG. 7) associated with the task identification information included in the anomaly confirmation request data. The following information is stored in each field of the new record.
"Anomaly ID" field: new anomaly identification information; "Transaction ID" field: transaction identification information included in the alert transmission request data; "Question date and time" field: information related to the execution date and time of step S2132; "Question" field: question information included in the answer request data

After step S2132, the requester client device 10 executes the process from answer reception (S1210) to answer response (S1211) in the same manner as in FIG.
After step S1211, the server 30 executes the processes from updating the database (S1233) to sending an abnormality confirmation response (S1234) in the same manner as in FIG.
After step S1234, the worker client device 20 executes the steps from presenting the result of the abnormality confirmation (S1222) to requesting a correction (S1223) in the same manner as in FIG.
After step S1223, the server 30 executes the processes from correcting the abnormality (S1235) to updating the database (S1236) in the same manner as in FIG.

(6-3-2) Summary of Modification 3 According to Modification 3, among the question information generated by the server 30, the question information specified by the worker is transmitted to the requester client device 10. This allows the information required to correct the abnormality as desired by the worker to be obtained at any time. As a result, the work efficiency of the worker can be improved.

In variant example 3, in step S1231, the processor 32 may select candidates for question information using a learned model stored in the storage device 31.
Specifically, the processor 32 refers to the worker information database (FIG. 5) to identify the requester identification information associated with the task identification information included in the abnormality confirmation request data.
The processor 32 refers to the requester information database (FIG. 4) to identify at least one of the requester attribute information, the business type information, and the category information associated with the identified requester identification information.
The processor 32 inputs at least one of the identified requester attribute information, industry information, and type information into a learned model associated with the worker identification information included in the abnormality confirmation request data, and thereby determines an abnormality type code corresponding to the input (i.e., at least one of the requester attribute information, industry information, and type information).
The processor 32 outputs question information by inputting the determined abnormality type code into the question generation model.

In this case, the system learns the results of the worker's selection of question information to be presented to the requester, and presents the worker with candidate question information based on the learning results. This allows the worker to more efficiently specify the question information to be presented to the requester.

(7) Supplementary Note The first aspect of this embodiment is as follows:
A means for identifying abnormal task information including an abnormality by referring to task information related to a task requested by a requester to a worker,
A means for generating question information corresponding to the abnormal operation information is provided,
A means for presenting question information to a requester is provided,
means for acquiring answer information regarding an answer of a requester to question information from the requester;
A means for storing abnormal operation information, question information, and answer information to the question information in association with each other.
An information processing device (for example, the server 30).

According to the first aspect, the server 30 generates question information corresponding to the abnormal task information and obtains answer information corresponding to the question information. This reduces the effort required for the task worker to inquire of the task requester.

A second aspect of this embodiment is as follows:
The system includes a means for presenting task information, abnormal task information, question information, and answer information to the question information to a worker.
An information processing device (for example, the server 30).

According to the second aspect, the server 30 presents the worker with the abnormal task information, the question information, and the answer information. This allows the worker to obtain the information necessary to correct the abnormal task without contacting the requester.

A third aspect of this embodiment is as follows:
a means for receiving a correction instruction for correcting the abnormal task information from the worker after the abnormal task information is presented by the presenting means,
A means for correcting the abnormal operation information in response to a correction instruction is provided.
An information processing device (for example, the server 30).

According to the third aspect, the server 30 corrects the abnormal work information in response to a correction instruction from the worker. This allows the worker to easily correct the abnormal work information.

A fourth aspect of this embodiment is as follows:
The correction means corrects the abnormal operation information based on the response information.
An information processing device (for example, the server 30).

According to the fourth aspect, the server 30 corrects the abnormal work information based on the response information. This allows the worker to more easily correct the abnormal work information.

A fifth aspect of this embodiment is as follows:
The means for generating question information generates question information by using the trained model.
An information processing device (for example, the server 30).

According to the fifth aspect, the server 30 generates question information using a trained model. This makes it possible to present appropriate questions to the requester regardless of the content of the abnormal work.

A sixth aspect of this embodiment is as follows:
The means for identifying abnormal operation information identifies abnormal operation information using a trained model.
An information processing device (for example, the server 30).

According to the sixth aspect, the server 30 identifies anomalous work information using a trained model. This allows the server 30 to appropriately identify anomalous work, regardless of the content of the anomalous work.

A seventh aspect of this embodiment is as follows:
A means for executing learning of a trained model depending on the presence or absence of corrections to the abnormal business information or the contents of the corrections;
An information processing device (for example, the server 30).

According to the seventh aspect, the server 30 learns the trained model according to the presence or absence of corrections to the abnormal task information and the contents of the corrections. This makes it possible to improve the accuracy of the trained model each time the worker's response to the abnormal task is repeated.

The eighth aspect of this embodiment is
A trained model is a model trained according to the type of business.
An information processing device (for example, the server 30).

According to the eighth aspect, the server 30 uses a trained model according to the type of business. This makes it possible to optimize the trained model for each type of business.

A ninth aspect of this embodiment is
A trained model is a model trained according to the attributes of a worker.
An information processing device (for example, the server 30).

According to the ninth aspect, the server 30 uses a trained model according to the attributes of the worker. This makes it possible to optimize the trained model for each attribute of the worker.

A tenth aspect of this embodiment is as follows:
A means for acquiring business information from an external server that stores the business information;
An information processing device (for example, the server 30).

According to the tenth aspect, the server 30 acquires business information from an external server. This makes it possible to obtain the same effect as above even for business information that is not stored in the storage device 31.

An eleventh aspect of this embodiment is
The means for generating the question information presents the question information to a messaging application installed on the requester;
The means for obtaining answer information obtains answer information regarding an answer entered into the messaging application.
An information processing device (for example, the server 30).

According to the eleventh aspect, the server 30 presents question information and receives answer information via a messaging application. This allows the requester to obtain answer information via a messaging application that the requester regularly uses, without having to install a dedicated application on the requester client device 10.

A twelfth aspect of this embodiment is
The means for generating question information assigns, to the question information, anomaly identification information for identifying the anomaly that is the basis of the question;
The means for acquiring answer information acquires the answer information and the anomaly identification information assigned to the question information.
An information processing device (for example, the server 30).

According to the twelfth aspect, the server 30 associates the anomaly identification information, the question information, and the answer information. This makes it possible to associate the question information and the answer information even when multiple anomalies exist.

A thirteenth aspect of this embodiment is
The means for generating question information generates a timeline object to which anomaly identification information is assigned,
The means for acquiring the answer information acquires the answer information via a timeline object to which the anomaly identification information associated with the corresponding question information is assigned.
An information processing device (for example, the server 30).

According to the thirteenth aspect, the server 30 presents question information on a timeline object arranged along the timeline, and obtains answer information input to the timeline object. This allows the requester to obtain the answer information via a messaging application that the requester uses on a daily basis, without having to install a dedicated application on the requester client device 10.

A fourteenth aspect of this embodiment is as follows:
The business is at least one of accounting business, contract business, application business, order placement business, production management business, and trust business.
An information processing device (for example, the server 30).

According to the fourteenth aspect, the server 30 presents question information and obtains answer information for at least one of accounting work, contract work, application work, order placement work, production management work, and trust work. This can reduce the effort required for workers of various tasks to inquire of the client of the task.

A fifteenth aspect of this embodiment is as follows:
a means for receiving, from a worker, designation of question information to be presented to a requester from among the generated question information;
The means for presenting question information presents question information designated by the worker to the requester.
An information processing device (for example, the server 30).

According to the fifteenth aspect, among the question information generated by the server 30, the question information specified by the worker is transmitted to the requester client device 10. This allows the information required to correct the abnormality desired by the worker to be obtained at any time. As a result, the work efficiency of the worker can be improved.

A sixteenth aspect of this embodiment is as follows:
A means for generating a trained model based on a result of a selection of question information by an operator,
A means for storing the trained model and worker identification information of a worker in association with each other,
A means for presenting candidates of question information to be presented to a requester to a worker corresponding to the worker identification information, by using a trained model associated with the worker identification information;
An information processing device (for example, the server 30).

According to the sixteenth aspect, the result of the worker's selection of question information to be presented to the requester is learned, and candidate question information corresponding to the learning result is presented to the worker, thereby enabling the worker to more efficiently specify the question information to be presented to the requester.

A seventeenth aspect of this embodiment is as follows:
It is a program for causing a computer (eg, the processor 32) to function as each of the above-mentioned means.

According to the seventeenth aspect, it is possible to reduce the effort required for a task worker to contact the task requester.

An eighteenth aspect of this embodiment is
A step of identifying abnormal task information including an abnormality by referring to task information related to a task requested by a requester to a worker,
A step of generating question information according to the abnormal task information,
presenting question information to a requester;
acquiring answer information from a requester regarding the requester's answer to the question information;
The method includes a step of storing the abnormal operation information, the question information, and the answer information to the question information in association with each other.
It is an information processing method.

According to the 18th aspect, question information is generated according to the abnormal task information, and answer information corresponding to the question information is obtained. This reduces the effort required for the task worker to inquire of the task requester.

(8) Other Modifications Other modifications will now be described.

The storage device 11 may be connected to the requester client device 10 via the network NW. The storage device 21 may be connected to the worker client device 20 via the network NW. The storage device 31 may be connected to the server 30 via the network NW.

Each step of the above information processing can be executed by any of the requester client device 10, the worker client device 20, and the server 30.
For example, if the requester client device 10 and the worker client device 20 are each capable of executing all of the steps of the above-mentioned information processing, the requester client device 10 and the worker client device 20 function as information processing devices operating standalone without sending requests to the server 30.
As an example, the storage device 21 stores business information, an anomaly determination model, a question generation model, and an anomaly correction model.
The processor 22 executes steps S1230 to S1236 by referring to the information stored in the storage device 21. In this case, the server 30 mediates the communication between the requester client device 10 and the worker client device 20.

In the present embodiment, accounting work, contract work, and application work are shown as examples, but the scope of the present embodiment is not limited to these. The present embodiment can also be applied to at least one of the following tasks, for example.
- Order placement or production management in the manufacturing industry (for example, a manufacturing company forecasting demand for product sales and notifying supplier companies of the forecast results and changes to plans)
・Retail ordering and ordering ・Trust operations (for example, stock trust operations)

In this embodiment, at least one of the following may be provided by an external server different from the server 30.
- Accounting information database (Figure 6)
Timelines displayed on the requester client device 10 and the worker client device 20

In this embodiment, an example has been shown in which the response information of the requester is presented to the worker by displaying a combination of question information and response information on the timeline TL21, but this embodiment is not limited to this. This embodiment can also be applied to an example in which response information is presented to the worker in a table format (for example, a format having a table structure similar to that of the anomaly information database in FIG. 7).

In the present embodiment, an example has been shown in which the worker issues an instruction to automatically correct the abnormality (for example, by operating the operation object B1221a) or an instruction to manually correct the abnormality (for example, by operating the operation object B1221b) to the worker client device 20, but the present embodiment is not limited to this. The present embodiment can also be applied to an example in which a comment of the worker is added.
For example, the server 30 stores comment information regarding comments from workers and anomaly identification information in an anomaly information database (FIG. 7) in association with each other.

In this embodiment, the server 30 may provide a search function for the anomaly information database (FIG. 7).
For example, when an operator specifies a search condition (as an example, an abnormality type code), the server 30 refers to the "abnormality type code" field in the abnormality information database to identify a record that includes the abnormality type code specified by the operator.
The server 30 sends information of the identified record (particularly the combination of the transaction information, question information, and answer information associated with the transaction identification information) to the worker client device 20.
This allows the worker to deal with the anomaly by referring to a combination of question information and answer information corresponding to a similar anomaly in the past.

This embodiment shows an example in which a person in charge of a corporation (e.g., a financial accountant) requests a task from an outside expert (e.g., a tax accountant), but the scope of this embodiment is not limited to this. This embodiment is also applicable to cases in which a person in charge of a corporation inquires of another person in the company (i.e., the corporation) (e.g., a business person).

In this embodiment, an example has been shown in which the start of information processing is triggered by an operation by an operator (e.g., logging in), but the scope of this embodiment is not limited to this. This embodiment can also be applied to an example in which the start of information processing is triggered by a predetermined timing, rather than an operation by an operator. The predetermined timing includes, for example, at least one of the following:
The time that has elapsed since the previous information processing was completed has reached a predetermined time (for example, one month, three months, or six months). The arrival of a predetermined date (for example, the first day of every month or March 1st of every year).

In the present embodiment (FIG. 12), an example is shown in which a plurality of pieces of question information are displayed on one timeline object TL10a, and one timeline object TL11a functions as an answer field for receiving a plurality of pieces of answer information, but the scope of the present embodiment is not limited to this. The present embodiment can also be applied to the following examples, for example.
FIG. 20 is a diagram showing a modification of FIG.
As shown in FIG. 20, a screen P1210 includes a display object A1210, a plurality of timeline objects TL10a to TL12a and TL10b to TL12b, and an operation object B1210.
Each of the timeline objects TL10a to TL12a displays one piece of question information. Anomaly identification information associated with the question information is assigned to each of the timeline objects TL10a to TL12a.
Each of the timeline objects TL10b to TL12b functions as an answer column for receiving one piece of answer information. Each of the timeline objects TL10b to TL12b corresponds to the timeline objects TL10a to TL12a. Each of the timeline objects TL10b to TL12b is assigned the anomaly identification information assigned to the corresponding timeline object TL10a to TL12a.

In this embodiment, an example is shown in which the database is updated according to the task information modified in response to instructions from the worker in steps S1235 to S1236, but this embodiment is not limited to this. This embodiment can also be applied to an example in which, for example, task information modified in response to instructions from the worker in step S1235 is presented to the requester client device 10, and the database is updated in response to instructions from the requester.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above-mentioned embodiments. Furthermore, the above-mentioned embodiments can be improved or modified in various ways without departing from the spirit of the present invention. Furthermore, the above-mentioned embodiments and modifications can be combined.

1: Information processing system 10: Requester client device 11: Storage device 12: Processor 13: Input/output interface 14: Communication interface 20: Worker client device 21: Storage device 22: Processor 23: Input/output interface 24: Communication interface 30: Server 31: Storage device 32: Processor 33: Input/output interface 34: Communication interface

Claims (18)

A means for inputting task information relating to a task requested by a requester to an operator into an abnormality determination model to determine a type of abnormality in the task information ,
a means for generating question information corresponding to the type of abnormality by inputting the type of abnormality into a question generation model ,
means for presenting the question information to a client device used by the client;
means for acquiring answer information regarding an answer of the requester to the question information from the requester client device ;
a means for storing , in a storage device, anomaly identification information for identifying the anomaly, the question information, and answer information to the question information in association with each other;
Information processing device. a means for presenting the task information, the abnormality identification information, the question information, and answer information to the question information to a worker client device used by the worker;
The information processing device according to claim 1 . a means for acquiring, from a worker client device used by the worker, a correction instruction for correcting abnormal operation information, which is operation information of a transaction including the abnormality, after the presentation by the presenting means;
means for correcting the abnormal operation information in response to the correction instruction;
3. The information processing device according to claim 1 or 2. The correcting means corrects the abnormal operation information based on the response information.
The information processing device according to claim 3 . The question generation model is a trained model.
5. The information processing device according to claim 1. The abnormality determination model is a trained model.
6. An information processing device according to claim 1. A means for executing learning of the trained model according to the presence or absence of correction or the content of correction to abnormal business information, which is business information of the transaction including the abnormality,
The information processing device according to claim 6. The trained model is a model trained according to the type of business.
8. The information processing device according to claim 5, wherein the information processing device is a computer. The trained model is a model trained according to the attributes of the worker.
9. The information processing device according to claim 5, wherein the information processing device is a computer. means for acquiring the business information from an external server that stores the business information;
10. The information processing device according to claim 1. The means for generating the query information presents the query information to a messaging application installed on the requester client device ;
The means for obtaining answer information obtains answer information regarding an answer entered into the messaging application.
11. The information processing device according to claim 1. the means for generating question information assigns, to the question information, anomaly identification information for identifying the anomaly that is the basis of the question;
The means for acquiring the answer information acquires the answer information and abnormality identification information assigned to the question information.
The information processing device according to claim 11. The means for generating question information generates a timeline object to which the anomaly identification information is assigned,
the means for acquiring the answer information acquires the answer information via a timeline object to which anomaly identification information associated with the corresponding question information is assigned.
The information processing device according to claim 12. The business is at least one of accounting business, contract business, application business, order placement business, production management business, and trust business.
An information processing device according to any one of claims 1 to 13. a means for receiving, from a worker client device used by the worker , designation of question information to be presented to the requester from among the generated question information;
the means for presenting question information presents, to the worker client device, question information designated by the worker to the requester;
An information processing device according to any one of claims 1 to 14. A means for generating a trained model based on a result of the selection of the question information by the operator,
A means for storing the trained model and worker identification information of the worker in a storage device in association with each other,
and a means for presenting candidates of question information to be presented to the requester to a worker client device used by the worker corresponding to the worker identification information, using a trained model associated with the worker identification information.
The information processing device according to claim 15. A program for causing a computer to function as any of the means described in claims 1 to 16. An information processing method using a computer, comprising:
The computer,
A step of inputting task information relating to a task requested by a requester to a worker into an anomaly determination model to determine a type of anomaly in the task information ;
executing a step of generating question information according to the type of anomaly by inputting the type of anomaly into a question generation model ;
A step of presenting the question information to a requester client device used by the requester is performed ;
acquiring answer information regarding the answer of the requester to the question information from the requester client device ;
executing a step of storing , in a storage device, anomaly identification information for identifying the anomaly, the question information, and answer information to the question information in association with each other;
Information processing methods.