HighRadius’ comprehensive Record to Report Suite combines industry-best AI/ML with Excel-like ease to solve ‘Tough’ Enterprise Challenges.
30 Minute Call | Tailored Product Walkthrough
Companies can upload 2,000+ R2R Excels to the LiveCube Agent Builder, which converts them into 200+ AI agents—one for each close and consolidation use case.
Get everything FloQast has and more! Find out how much more you get with the
HighRadius fully integrated Record to Report platform.
Features | HighRadius | FloQast |
---|---|---|
Close Checklist: Orchestrate the entire close cycle consistently and controllably with close checklist templates. | ||
LiveCube Workspace: Platform with Spreadsheet-like user interface capable of processing millions of records. | ||
Journal Entry Automation: Create and post journal entries automatically to ERP for the close tasks with LiveCube. | ||
Close Progress Dashboards: Generate customized reports for efficient reporting with a drag and drop. | ||
Seamless Integrations: Inbound integration with ERP and non-ERP systems with custom APIs. |
Features | HighRadius | FloQast |
---|---|---|
Transaction Matching: Match two sets of data automatically with AI powered matching rules or algorithms from historical data. | ||
Journal Entry Automation: Create and post journal entries automatically to ERP for the reconciliation tasks with Livecube. | ||
Reconciliations Account List: Get an up-to-date list of balance sheet GL accounts and their reconciliation status for any period. | ||
Substantiation Reconciliation: Supporting balance from working files on a shared drive location. | ||
Seamless Integrations: Inbound integration with ERP and non-ERP systems with custom APIs. |
Features | HighRadius | FloQast |
---|---|---|
Anomaly Detection: Identify and receive alerts of anomalous transactions from the recorded GL transactions in ERP. | ||
Anomaly Workflow: Create and assign tasks for users to investigate and resolve anomalies. | ||
Automated Corrective Suggestions: Remedial suggestions for resolving anomalies and creating JEs for corrections. | ||
User Feedback-Based Self-Learning: Ability to ignore anomalies for the system to learn and improve auto-identification. | ||
Customized Anomaly Detection Algorithm: Customize the anomalous transaction identification algorithm as per your financial SOPs/policies. |
A 3X Leader in Gartner® Magic QuadrantTM Invoice-To-Cash Expands into FCCS
Get The ReportLiveCube Workspace
12
Estimated ROI
(Months)
~1
Avg. Time to Go-Live
(Months)
90%+
Ease of Setup
(Minimal IT)
85%+
Avg. User Adoption
(No Change Management)