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Your Guide to Quote-to-Cash Hyperautomation

The second instalment of AuditBoard’s Internal Audit Hyperautomation Blueprint Series focuses on the revenue and receivables lifecycle. The quote-to-cash process is a great candidate for hyperautomation because it’s frequently audited and involves large transaction volumes with equally large amounts of data to sort and analyze.

In a time where “default is digital” has become the operating standard, it’s no surprise that hyperautomation leads as a key technology trend. But hyperautomation — the use of multiple technologies such as robotic process automation (RPA), advanced analytics, and low-code/no-code application platforms (LCAP) to automate business processes — is more than a mere buzzword.

Internal auditors are finding numerous applications for hyperautomation in business areas typically selected for SOX and audit review. Hyperautomation enables auditors to test, analyze, and monitor large quantities of data, making an enormous impact in saving time and driving efficiency.

The second Internal Audit Hyperautomation Blueprint Series instalment discusses hyperautomation in the revenue and receivables lifecycle. This process encompasses a broad, complex range of activities with large transaction volumes and data involved, making it a good candidate for implementing hyperautomation technologies.

Advanced analytics, data visualization, and RPA can be leveraged to streamline order management and fulfillment, credit management, and payment collection, in addition to optimizing cash flow and improving fraud identification. Download your free copy today for an in-depth look at:

  • Automation opportunities in the quote-to-cash process, with an overview of commonly used systems and source data files.
  • Procedures for incorporating RPA, advanced analytics, data visualization, and API/iPaaS into discovery analytics/data profiling and ICFR evidence collection and testing.
  • Automated fraud detection techniques.

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