AI-AUGMENTED AUDITING PLATFORM INCLUDING TECHNIQUES FOR APPLYING A COMPOSABLE ASSURANCE INTEGRITY FRAMEWORK
A system for generating risk assessments based on a data representing a plurality of statements and data representing corroborating evidence is provided. The system receives data representing a plurality of statements and data representing corroborating evidence. The system applies one or more integrity analysis models to the first data and the second data in order to generate an assessment of a risk that one or more of the plurality of statements represents a material misstatement. A system for generating an assessment of faithfulness of data is provided. The system compared data representing a statement to data representing corroborating evidence, and generates a similarity metric representing their similarity. Based on the similarity metric, the system generates an output representing an assessment of faithfulness of the first data set.
1 . A system for generating risk assessments based on a data representing a plurality of statements and data representing corroborating evidence, the system comprising one or more processors configured to cause the system to:
receive a first data set representing a plurality of statements;
receive a second data set comprising a corroborating evidence related to one or more of the plurality of statements; and
apply one or more integrity analysis models to the first data set and the second data set in order to generate output data comprising an assessment of risk.
2 . The system of claim 1 , wherein the output data comprises an assessment of risk that one or more of the plurality of statements represents a material misstatement.
3 . The system of claim 1 , wherein applying the one or more integrity analysis models comprises applying one or more process integrity analysis models to generate output data indicating whether one or more process integrity criteria are satisfied.
4 . The system of claim 3 , wherein applying the one or more process integrity analysis models comprises determining whether the first set of data indicates that one or more process integrity criteria regarding a predefined procedure are satisfied.
5 . The system of claim 3 , wherein applying the one or more process integrity analysis models comprises determining whether the first set of data indicates that one or more temporal process integrity criteria are satisfied.
6 . The system of claim 3 , wherein applying the one or more process integrity analysis models comprises determining whether the first set of data indicates that one or more internal-consistency process integrity criteria are satisfied.
7 . The system of claim 1 , wherein applying the one or more integrity analysis models comprises applying one or more data integrity analysis models to generate an assessment of fidelity of information represented by the first data set to information represented by the second data set.
8 . The system of claim 7 , wherein applying the one or more data integrity analysis models is based on exogenous data in addition to the first data set and the second data set.
9 . The system of claim 1 , wherein applying the one or more integrity analysis models comprises applying one or more policy integrity models to generate output data comprising an adjudication according to one or more policy integrity criteria, wherein the adjudication is based all or part of one or both of: the plurality of statements and the corroborating evidence.
10 . The system of claim 9 , wherein the adjudication rendered by the one or more policy integrity models is based on assurance a knowledge substrate including data representing one or more of the following: industry practice of an industry related to one or more of the plurality of statements, historical behavior related to one or more parties relevant to one or more of the plurality of statements, one or more accounting policies, and one or more auditing standards.
11 . The system of claim 1 , wherein the assessment of a risk is associated with a level selected from: a transaction-level, an account level, and a line-item level.
12 . The system of claim 1 , wherein generating the assessment of a risk is based at least in part on an assessed level of risk attributable to one or more automated processes used in generating or processing one or both of the first and second data sets.
13 . The system of claim 1 , wherein generating the assessment of risk comprises performing full-population testing on the first data set and the second data set.
14 . The system of claim 1 , wherein generating the assessment of risk comprises:
applying one or more process integrity models based on ERP data included in one or both of the first data set and the second data set; and
applying one or more data integrity models based on corroborating evidence in the second data set.
15 . The system of claim 1 , wherein the one or more processors are configured to apply the assessment of the risk in order to configure a characteristic of a target sampling process.
16 . The system of claim 1 , wherein the one or more processors are configured to apply one or more common modules across two of more models selected from: a data integrity model, a process integrity model, and a policy integrity model.
17 . The system of claim 1 , wherein the one or more processors are configured to apply an assurance insight model in order to generate, based at least in part on the generated assessment of risk of material misstatement, assurance insight data.
18 . The system of claim 17 , wherein the one or more processors are configured to apply an assurance recommendation model to generate, based at least in part on the assurance insight data, recommendation data.
19 . The system of claim 1 , wherein the one or more processors are configured to:
receive a user input comprising instructions regarding a set of criteria to be applied; and
apply the one or more integrity analysis models in accordance with the received instruction regarding the set of criteria to be applied.
20 . The system of claim 1 , wherein applying the one or more integrity analysis models comprises:
applying a first set of the one or more integrity analysis models to generate first result data; and
in accordance with the first result data, determining whether to apply a second subset of the one or more integrity analysis models.
21 . A non-transitory computer-readable storage medium storing instructions for generating risk assessments based on a data representing a plurality of statements and data representing corroborating evidence, the instructions configured to be executed by a system comprising one or more processors to cause the system to:
receive a first data set representing a plurality of statements;
receive a second data set comprising a corroborating evidence related to one or more of the plurality of statements; and
apply one or more integrity analysis models to the first data set and the second data set in order to generate output data comprising an assessment of risk.
22 . A method for generating risk assessments based on a data representing a plurality of statements and data representing corroborating evidence, wherein the method is performed by a system comprising one or more processors, the method comprising:
receiving a first data set representing a plurality of statements;
receiving a second data set comprising a corroborating evidence related to one or more of the plurality of statements; and
applying one or more integrity analysis models to the first data set and the second data set in order to generate output data comprising an assessment of risk.