Guide
SAS 145 Implementation Guide Using MindBridge
MindBridge’s algorithms have been reviewed by UCLC, supporting their use within audit data analytics. Auditing standards recognize that analytical procedures require professional judgment and may involve automated techniques to analyze entire populations of transactions. These tools help auditors identify unusual transactions that meet defined risk criteria and highlight areas where inherent risk factors may exist. By moving beyond single points of failure and tailored to the unique nature of each entity, audit data analytics can enhance risk identification, improve audit procedures, and support more effective and focused audit planning.
