Automate your balance sheet and strengthen your organization's financial solvency
Optimize financial status management by automating the balance sheet. Anticipate changes in assets and liabilities, monitor net worth, and improve liquidity and solvency with integrated, traceable, and decision-oriented financial models.
Current Challenges in Managing the Balance Sheet and the Statement of Financial Position
Result: a reactive balance sheet, with little predictive value and limited utility as a financial management tool.
In many organizations, the balance sheet continues to be prepared as a static, manual process, focused more on closing the books than on financial planning. This approach limits the ability to analyze and anticipate. Among the main challenges are:
- Reliance on spreadsheets to generate the balance sheet report, with a high risk of errors, a lack of version control, and limited traceability.
- A disconnect between the balance sheet, the income statement, and the cash flow statement, making it difficult to conduct a comprehensive analysis of liquidity and solvency.
- Limited ability to project future changes in assets and liabilities, particularly in scenarios involving growth, investment, or refinancing.
- Balance sheet planning and review processes that are slow, uncooperative, and highly dependent on the finance department.
- Lack of simulations that would allow for an assessment of the financial impact of strategic decisions on net worth.
- Difficulty responding quickly to regulatory, economic, or market changes.
Balance Sheet Automation Integrated into Financial Planning
A Balance Sheet Automation solution transforms the balance sheet into an active component of financial planning by integrating it into an EPM platform that connects financial results, cash management, and operations. The automated model enables:
- Centralize financial and non-financial data in a single, reliable environment.
- Consistently project the financial position based on operational and strategic assumptions.
- Automatically consolidate the income statement, capital expenditures (CAPEX), and working capital into the balance sheet.
- Analyze the impact of decisions regarding liquidity, debt, and net worth before implementing them.
- Significantly reduce the manual effort involved in preparing and reviewing the balance sheet report.
- Ensure accounting and financial consistency across periods, scenarios, and versions.
Key Features and Functions of a Balance Sheet Automation Solution
Advanced balance sheet management requires models that are consistent, automated, and aligned with accounting best practices. The solution enables users to plan, analyze, and forecast the balance sheet from a single EPM platform, ensuring traceability, control, and agility.
Balance Sheet Template Based on Best Accounting Practices
Automatic integration with corporate systems
Integrated Forecast of Balance Sheet, Income Statement, and Cash Flow
Scenario Simulation and Impact Analysis
Automation of Financial Calculations and Adjustments
Advanced Balance Sheet Reporting
Key Benefits of Having an Optimized Balance Sheet Supported by an EPM Solution
Automating the balance sheet transforms it into a strategic tool, not just an accounting one. It allows organizations to anticipate risks, optimize resources, and improve overall financial control.
Significant savings in time and effort
Data collection, consolidation, and validation are performed automatically, reducing manual tasks and speeding up planning and reporting cycles.
Improving Solvency and Financial Stability
It forecasts changes in assets and liabilities, monitors debt levels, and strengthens the company's ability to meet its financial obligations.
Greater control over net worth
Analyze how operational and strategic decisions impact the company's financial value in the medium and long term.
Decisions Based on Scenarios and Projections
Assess various economic and strategic contexts before making decisions that affect the financial position.
Reliable and traceable information for management and auditing
Work with data that is consistent, auditable, and aligned with best practices, building trust among management, investors, and auditors.
Comprehensive View of the Business
It integrates financial and non-financial information to provide a comprehensive view of the actual impact of each decision on liquidity and solvency.
Real-World Applications of Balance Sheet Automation
- Short-, medium-, and long-term financial projections.
- Analysis of the impact of investments, divestitures, and financing.
- Simulation of growth, crisis, or refinancing scenarios.
- Integration of the balance sheet with financial budgets and forecasts.
- Preparation of more consolidated and consistent balance sheet reports.
- Ongoing assessment of liquidity, solvency, and financial structure.
Would you like to explore how to automate the management of your balance sheet?
Nova: Specialists in Balance Sheet Automation and EPM
At Nova, we support finance teams in implementing advanced balance sheet automation models integrated with financial planning and enterprise performance management (EPM). Our methodology combines technical rigor, financial expertise, and leading-edge technology.
01
Quick Diagnosis:
Analysis of Current Balance Sheet Models and Data Sources.
02
Planning Blueprint:
Design of an automated model for assets, liabilities, and net worth.
03
Agile Implementation (MVP):
Agile implementation (in weeks) of an initial operating model.
04
Scaling and Integration
Integration with budgeting, forecasting, and cash flow.
05
Governance and Training:
Training, data governance, and continuous improvement.
Technology Partners of Balance Sheet Software Solutions
At Nova, we work with leading platforms such as Oracle, OneStream, and Jedox to automate the balance sheet and integrated financial planning. These solutions ensure security, scalability, and traceability in the management of the financial statements.
Frequently Asked Questions About Balance Sheet Automation
What is the main driver of value for this automation, beyond operational efficiency in the financial close?
The main value of value lies in mitigation of the risk of misstatement and improvement in data quality for decision-making. By standardizing and automating the reconciliation processes for key accounts (e.g., intercompany, inventory reserves, amortization), we achieve a immutable traceability of the origin of balances, which reduces reliance on manual control (key person dependency) and strengthens regulatory compliance (e.g., Sarbanes-Oxley).
Which post-implementation metrics should be prioritized to evaluate return on investment (ROI)?
The reduction in Cycle Time to Close (days to close), the decrease in the volume of journal entries manual adjusting (First-Time Match Rate First-Time Match Rate), and the increase in the percentage of accounts with automated reconciliation. It is crucial to monitor the Time spent by the team on analysis vs. data collection/processing.
What are the implications of this implementation for the chart of accounts and accounting policy?
It requires a review and standardization of the chart of accounts to ensure that the automation logic can map the accounting accounts to the defined reconciliation rules. At the policy level, it is required that formalize the materiality thresholds and the approval rules workflow that will be built into the system, which requires prior alignment with Audit & Compliance.
What is the key change management strategy for ensuring adoption by business users?
The strategy should focus on demonstrating how the tool facilitates the transition from transactional tasks to analytical validation. Implement a upskilling upskilling focused on interpretation of exceptions generated by the platform’s AI/ML on the platform, and to establish power users who will act as knowledge multipliers for the new operational procedures.
How long is the implementation project expected to last, and which phases are the most critical in terms of internal resources?
The typical implementation time for a medium- to large-sized organization is 6 to 9 months. The most critical phase in terms of internal resources is the Requirements Definition and Process Mapping (Blueprint Phase) and Functional Validation (User Acceptance Testing (UAT)). During the Blueprint, requires intensive effort on the part of finance and accounting users to document each existing reconciliation process. During the UAT, the team must verify that the system’s coded logic ( matching rules) accurately reflects the organization’s accounting policies prior to the Go-Live.
How do you ensure that this solution remains relevant and scalable as the organization grows (through acquisitions, expansion into new regions, and new ERPs)?
The key lies in the solution’s modular architecture and its ability to handle multiple data sources (Multi-Source Data Ingestion). In addition, the maintenance of business rules and workflows must be configurable by the Finance user (not just by IT), ensuring agility to adapt reconciliation processes to new accounting policies or to the expansion of the organizational structure.
Automate Your Balance Sheet and Improve Financial Decision-Making
Turn your balance sheet into a strategic planning tool. Automate its management, improve financial visibility, and make decisions with confidence.