Anomaly Management
80% Anomalies Resolved. Identify potential missed GL postings in your ERP data with AI-based alerts.
Identify missed accrual reversal postings for the current month.
Get alerts for missed transaction postings that are expected every month.
Improve accuracy of the AI engine by opting to "ignore" certain omissions.
Download this template to automate matching records in your cash book with the corresponding data on bank statements.
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Learn about the ROI of plugging Al into accounting processes along with two real-life implementation stories who benefited with Al.
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Get a guided tour of the HighRadius financial close management, account reconciliation, and anomaly management software.
Take the TourHighRadius anomaly management software offers a flexible solution, seamlessly integrating with major ERPs like SAP, Microsoft Dynamics 365, Oracle, NetSuite, Sage Intacct, and Workday. This adaptability ensures the effortless extraction of data from GL accounts for reconciliation, facilitating a timely close. Moreover, the system must send journal entries back to the ERP in the supported format.
The implementation time for HighRadius anomaly management software varies based on the complexity of your organization’s requirements. However, our Speed to Value methodology guarantees swift implementation and ROI realization within 3 to 6 months.
HighRadius anomaly management software, prioritizes your data security and privacy, meeting key compliance standards such as GDPR, HIPAA, SOC 1 Type 2, and SOC 2 Type 2. This ensures that your data remains confidential and secure, giving you peace of mind while managing your finances.
Yes, HighRadius anomaly management software can prevent duplicate data entry using advanced machine learning capabilities. The software scans transactions in real-time to detect and flag potential duplicates, such as invoices, payments, or sales entries, that may have been recorded more than once.
Yes, HighRadius anomaly management software features a dashboard that offers a clear view of potential reporting issues. It tracks and analyzes anomalies with reports and visualizations, showing anomaly count, categorizing them by type, and reviewing their status. The dashboard also displays trends in detection accuracy and potential financial impacts, enabling proactive issue resolution.
