This overview explains how MindBridge helps auditors rethink related party testing using AI‑powered analytics. Transactions involving non‑market pricing or unusual intermediaries can signal undisclosed related party activity that traditional methods may overlook. MindBridge enables auditors to identify these risks by analyzing revenue and transaction patterns in the general ledger and subledgers. When anomalies are detected, auditors can perform targeted analysis and management inquiries to assess whether additional related party relationships exist. By applying Transaction Risk Analytics and granular data analysis, MindBridge strengthens auditors’ ability to detect anomalies, improve compliance with standards, and manage related party risk more effectively across financial data.

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