GL Outlier Detection

Sage Intacct GL Outlier Detection is a Machine Learning (ML) service delivered with core functionality that uses your historical transaction patterns, evaluates current transactions in the approval cycle, and flags transactions that don’t match. GL Outlier Detection can serve as a powerful detective control, turning transaction patterns into reliable approval process accuracy. Advantages include:

  • Automatically find errors: Machine Learning service uses your historical transaction patterns, evaluates current transactions in the approval cycle, and flags transitions that do not match. Notifications give your approver another proactive tool to catch costly errors, regardless of size.
  • Individual modeling: With GL Outlier Detection, your company’s specific data converts into transaction patterns. As more data accumulates, your responses to outlier notifications learn and strengthen future patterns. Outlier detection reviews volumes of GL transactions that detect anomalies in your journal entries.
  • Improved control measures: Manual approval processes handled entirely by a GL journal entry approver is prone to error and oversights. The AI-powered functionality provides a solution to missed detections with indicator alerts when something looks out of the ordinary. This can also serve to spotlight preventative controls that may require further evaluation and/or fine-tuning for greater efficiency.
  • Improved accuracy in journal entries: Machine Learning automatically recognizes anomalies in your journal entries. You can adjust allocations when you receive new data. Your team will trust the accuracy of data and prioritize reviews based on the highest risk.
  • Continuous updating: GL outlier detection learns from your responses and adjusts evaluations based on them. This responsive functionality speeds up close processes so that your data is always up to date. With a continuous consolidation of your financials, AI prepares you with trusted data ready for reporting and analysis.
  • Continuous insights: When your transactions automatically validate, you can trust the numbers. They enhance your team performance with visually supported dashboards and performance cards. Team members can schedule reports to identify potential risks.

For smaller organizations, the Outlier Assistant feature can assist with accuracy as a reviewer when the organization may not be large enough to have a formal step.

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