Lucanet Features

Uses collected data to assist organizations in understanding what they can afford now, and in years to come.

Creates a continuous and recurrent planning process that can be calculated according to a specified and customizable timeline.

Leverages data from budgeting and forecasting processes to help corporations understand their reality and make decisions accordingly.

Offers methods of visualizing data via customizable dashboards, statistical graphs, and charts.

Scours data for actionable insights.

Allows users to customize their own reports according to business needs.

Provides pre-built reporting templates to organize data for payroll, manufacturing, and other company factions.

Allows for searchable communication within the tool via notes, checklists, and discussions to ensure clarity between users.

Reflects updates immediately, ensuring users have the most recent data while maintaining records of past performance.

Updates varying factors in real-time, assuring forecasts and inferences are continually made according to the most recent information.

Displays and shares company performance data to increase transparency across the board.

Import trial balance, monthly P&L, balance sheets, and other types of financial data

Define budget structure elements and how they are linked hierarchically

Keeps track of all versions of a budget and allows users to compare versions

Include budgeting formulas to estimate direct and indirect costs, operating and non-operating revenues

Test the potential financial impact of business decisions on revenues and expenses

Users can customize standard budget periods (3, 9, or 12 months)

Consolidate multiple budgets from different departments or business entities

Users with administrative access rights can modify budgets

Workflows are used to define the steps required to alter budgets and who needs to approve changes

Forecasting is based on past transactions and historical financial or operational data

Ability to recreate forecasts to include new information that may impact budgets

Support multiple types of forecasts such as balance sheet and cash flow forecasts

Used to review and update budgeting assumptions for a predefined period (usually one year)

Uses AI algorithms and models to predict future trends and outcomes, based on historical data and patterns

Project out as the year progresses to accommodate trends that affect key business drivers.

compare Income Statement, Balance Sheet, and Cash Flow for multiple periods

Forward-looking Balance Sheet and Cash Flow Statements are synchronized with GL data

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

Analysis that creates business plans outside of finance, including sales, marketing, or HR.

Reports on departmental KPI metrics measured against targets.

Consolidates planning processes across an organization into a single solution.

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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.