AI agents auto-reconcile 90% of high-volume, multi-entity transactions across ERPs & flag anomalies in real-time.
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90%+ Auto-Match Rate for Complex Reconciliations AI agents match transactions across GL, bank, and intercompany accounts—at scale, without manual rule maintenance.
100% Reconciliation Visibility Across ERPs and Entities Gain a single-source dashboard for tracking rec status, bottlenecks, and risks across global operations.
95%+ Journal Entries Auto-Posted with Built-In Controls AI agents generate and post accruals and adjustments with full compliance to accounting policies.
100% Balance Substantiation with Documentation Compliance AI agents enforce evidence attachment and version control for every reconciled balance across the org.
200+ AI Agents Trained from Your Close Workflows
Upload your Excel templates to auto-generate scalable AI agents that execute rec, journal, and substantiation tasks.
A 3X Leader in Gartner® Magic QuadrantTM Invoice-To-Cash Expands into FCCS
Get The ReportPurpose-built to automate complex balance sheet reconciliations, managing high volumes of transactions across multiple accounts, data sources, and entities.
HighRadius leverages AI and machine learning to streamline the reconciliation process, reducing manual effort by automatically matching transactions, identifying discrepancies, and centralizing documentation—enhancing accuracy, compliance, and control.
Transform general ledger reconciliations by automating high-volume transaction matching, managing intercompany postings, and ensuring compliance.
HighRadius utilizes AI and machine learning to automatically match transactions, streamline the identification of reconciliation gaps, and enforce policy controls—reducing manual checks to accelerate the financial close process.
Enhance bank reconciliations by automating data imports, transaction matching, and discrepancy resolution across multiple financial systems.
HighRadius uses AI and machine learning to sync bank statements with cash G/L data, configure matching rules, and continuously match transactions—reducing manual effort, minimizing errors, and ensuring accurate financial reporting.
Streamline cash reconciliation by automating the matching of cash transactions across various sources, ensuring accurate cash flow management and real-time visibility into cash positions.
AHighRadius utilizes AI and machine learning to automate the consolidation of cash entries from multiple accounts, identify mismatches quickly, and support cash forecasting—reducing manual intervention, minimizing errors, and enhancing liquidity control.
Optimize credit card reconciliations by automating the matching of transactions from credit card payment reports to bank statements, ensuring accuracy and early detection of discrepancies.
HighRadius employs AI to automatically sync credit card data from various retail systems, apply dynamic matching rules, and highlight inconsistencies in real-time—reducing manual effort, minimizing errors, and preventing fraudulent activity.
12
Estimated ROI
(Months)
~1
Avg. Time to Go-Live
(Months)
90%+
Ease of Setup
(Minimal IT)
85%+
Avg. User Adoption
(No Change Management)