Numeric Features

Data from multiple systems can be centralized into a single repository

Financial information can be imported from multiple sources such as spreadsheets, text files, or databases

Match invoices, payments, and bank statement information

Provide multiple types of reports such as point-in-time snapshot reports, or year over year

Offers standard financial reports out of the box

Allows users to edit reports and to combine multiple reports

Creates workflows to assign tasks for audit and inspections, monitor work in progress, timelines, and approvals.

Adjusts journal entries in order to have an accurate balance sheet and income statement

Financial statements and statistical reports (such as KPI) can be assembled into financial packages

Automates the process of comparing financial transactions between different accounts, statements, or systems

Helps match transactions recorded in the company's books with those in the bank statement

Alerts users when exceptions and discrepencies can't automatically be resolved

Uses algorithms, such as rule-based matching, fuzzy logic, or machine learning techniques to help with comparing large sets of data

Ensures that financial records are accurate and precise, reducing the chances of errors that could lead to audit issues

Meets industry-specific compliance requirements and supports regulatory standards

Offeres customizable reporting features to provide a clear overview of the financial reconciliation process and any issues that may need attention

Provides a detailed history of reconciliations and supports the accuracy of financial records

Integrates with accounting platforms to allow the import and reconciliation of financial data

Integrates with inventory management systems to help reconcile financial data related to product movements, purchases, and sales

Integrates with ERP systems to reconcile financial data across various modules and departments

Integrates with banking systems to import and match bank transactions

Offers role-based access control (RBAC) allowing administrators to define roles with specific sets of permissions

Uses features such as multi-factor authentication (MFA) to help ensure that only authorized users can access the software

Has encryption techniques to prevent unauthorized access or interception of data

Complys with regulations and standards, such as Sarbanes-Oxley (SOX), GDPR, or HIPAA

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input

Uses AI to ensure the following of rules and creates detailed audit trails which helps compliance and audit preparation.

Uses AI to match transactions across accounts and systems, and flag exceptions and discrepencies.

Uses AI to extract, clean, and validate financial data from disparate sources, while identifying errors and inconsistencies.

Generates AI-assisted financial reports and provides thorough analytical insights.