Audit Sampling with MindBridge Ai Auditor
The fundamental problem addressed by sampling is that it is not feasible to apply auditor judgment and expertise to the entire set of data. Sampling provides an objective basis for the claim that audit findings have “reasonable assurance”, but this assurance comes at the cost of restricting the application of the auditor’s judgment and expertise to just the inputs of the sampling procedure. In the ideal situation, the auditor would examine every transaction; she would come to understand which sorts of transactions represented ordinary business and which sorts of transactions are unusual and deserve closer attention. Although this is not feasible for an auditor, artificial intelligence can be applied to assess every transaction to determine which transactions are most anomalous and in need of auditor attention.
Download this whitepaper to learn how MindBridge Ai Auditor delivers comprehensive analysis that can be used by the auditor at multiple stages of the audit process, and how the auditor can use the analysis provided by Ai Auditor to form an enriched sample set and to identify non-compliant transactions in the sample set.
Demystifying Artificial Intelligence and the Impact on Auditing
AI is helping of a number of professions, including auditors, deal with a changing landscape. Learn how the Ai Auditor platform leverages AI to provide faster, more highly assured audits than ever before.
CPA Roundtable: Planning an AI roadmap for 2019
You’ve heard the hype around AI, now it’s time to hear from real CPAs. Join us for an in-depth panel on how AI is changing the audit world and how to develop a AI roadmap for your firm.
How AI is Disrupting Audit and Introduction to Ai Auditor
Learn about the history of AI and why it is emerging now and how AI is currently disrupting audit, followed by a demonstration of the Ai Auditor platform.