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- W4232912863 abstract "This chapter presents a brief discussion on audit opinion detection and a deeper coverage of post-audit value management. The deployment of the intelligent automation tools and systems requires development of tools on both sides of audit. With the advent of artificial intelligence (AI), the service delivery model of audit firms is changing rapidly. Two variables impact the business models of audit firms. The first is connectivity and it measures how embedded the audit firm is into the client. The second variable is intelligent automation and it measures three things: how much of the audit process has been automated by a firm, the quality of automation, and the number of successful implementations. Building and managing the integrated capabilities for AI will require a comprehensive capability design and development. The basic conceptual architecture requires an integrated technology design that includes machine learning, expert systems, robotic process automation, and process mining." @default.
- W4232912863 created "2022-05-12" @default.
- W4232912863 date "2020-08-03" @default.
- W4232912863 modified "2023-10-18" @default.
- W4232912863 title "Reporting and Post‐Audit Management" @default.
- W4232912863 cites W2014623570 @default.
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- W4232912863 doi "https://doi.org/10.1002/9781119601906.ch11" @default.
- W4232912863 hasPublicationYear "2020" @default.
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