AI agents automate JEs, recs, interco, accruals, consolidation & reporting – driving 50% productivity boost.
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A median organization automates 30% of its monthly journal line items, while top performers automate 58%
Track unbilled revenue, post entries, and adjust balance sheets.
1 failed reconciliation creates 8.3 dependent failures downstream.
Reconcile bank and GL data, identify exceptions, and post journals.
Ineffective rules reduce STP rates by 20%, increasing manual exceptions.
Manage banking profiles, create settlement rules and post cash journals.
Automating reconciliation reduce manual effort by up to 60%, accelerating monthly close cycles by 3-5 day.
Reconcile POS, and bank data, resolve exceptions, and post cash journals.
Only 35% of compliance-related tasks are automated, leaving significant manual effort and exposure to errors.
Identify errors in posted journals and detect missing entries using historical data trends.
Median organization automates about 35% of consolidation and reporting tasks; Top performers automate 70% .
Eliminate loans, revenue, & expenses with adjusting JEs.
A 3X Leader in Gartner® Magic QuadrantTM Invoice-To-Cash Expands into FCCS
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Purpose-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)
