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Average Ratings 0 Ratings
Description
Maxima is an advanced AI-driven platform designed for accounting and financial close automation, aiming to revolutionize enterprise record-to-report processes by taking on the most tedious and error-prone activities such as journal entry creation, reconciliations, transaction matching, variance analysis, and overall close operations while ensuring human oversight and adherence to compliance standards like SOX. Its intelligent AI agents gather data from various systems, create a cohesive financial context using an Enterprise Finance Graph, produce logic-based journal entries at scale, ensure real-time validation of the general ledger's accuracy, and offer comprehensive evidence and audit trails, enabling accounting teams to focus more on review rather than on the manual preparation of tasks. Maxima seamlessly integrates with existing ERP systems by automatically posting entries and consolidating various tasks, reconciliations, and reporting into a unified platform that not only streamlines the close process—cutting down the time needed by several days—but also eliminates repetitive tasks, achieving a high level of automation coverage that enhances overall efficiency in financial operations. This innovative approach empowers financial teams to work smarter and allocate their time to more strategic activities, ultimately driving better decision-making within organizations.
Description
To initiate a reconciliation, one should start by examining the closing balance of the General Ledger in comparison to the sub-ledger or other pertinent documents, which may include bank statements or third-party records. Any discrepancies identified between these sources must be thoroughly investigated, measured, and resolved whenever feasible by making the necessary adjusting entries in either the general ledger or sub-ledger. It is also essential to document any anomalies as reconciling items to maintain transparency throughout the process. Ultimately, the balances should align perfectly and be substantiated with all accompanying documentation linked to the reconciliation. The review process is crucial for confirming the completeness of the reconciliation, and incorporating an additional approval layer can enhance confidence in its accuracy. Moreover, establishing a robust framework along with a standardized process can significantly streamline and enhance the efficiency of the reconciliation process at the end of each month. This not only fosters consistency but also aids in identifying potential issues much earlier in the cycle.
API Access
Has API
API Access
Has API
Integrations
ADP DataCloud
Charles Schwab
Google Drive
Google Sheets
Microsoft OneDrive
NetSuite
Oracle Fusion Cloud ERP
SAP Cloud Platform
Salesforce
Silicon Valley Bank (SVB)
Integrations
ADP DataCloud
Charles Schwab
Google Drive
Google Sheets
Microsoft OneDrive
NetSuite
Oracle Fusion Cloud ERP
SAP Cloud Platform
Salesforce
Silicon Valley Bank (SVB)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Maxima
Founded
2024
Country
United States
Website
www.maxima.ai/
Vendor Details
Company Name
RecWise
Founded
2017
Country
Australia
Website
www.recwise.com
Product Features
Product Features
Audit
Alerts / Notifications
Audit Planning
Compliance Management
Dashboard
Exceptions Management
Forms Management
Issue Management
Mobile Access
Multi-Year Planning
Risk Assessment
Workflow Management