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Case Study

FinMan

Financial Management / SaaS

Client: FinMan (Financial Management SaaS)Industry: Financial ManagementSolution: SaaS

How FinMan automated financial management and reduced manual operations by 60%

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Client

FinMan

How FinMan automated financial management and reduced manual operations by 60%

Client
FinMan (Financial Management SaaS)
Industry
Financial Management
Solution
SaaS

Challenge

Companies struggled with fragmented financial processes, lack of a unified structure, and heavy reliance on manual work. As a result, financial visibility was limited and decision-making was delayed.

  • Financial data was scattered across 10+ sources
  • Excel-based workflows and manual calculations
  • Inconsistent categorization of income and expenses
  • Errors in cash flow and P&L calculations
  • Reporting was slow, manual, and resource-intensive

Business Goals

  • Reduce manual effort in financial operations
  • Centralize financial data in a single system
  • Automate calculation of key financial metrics (cash flow, P&L)
  • Accelerate reporting and access to financial insights
  • Improve accuracy and consistency of financial data
  • Enable faster, data-driven decision-making
  • Increase transparency across financial processes

Solution

A centralized SaaS platform was developed to automate the entire financial management cycle — from data collection to real-time reporting and analytics.

01 Data collection

  • API integrations with external systems
  • Manual and bulk data import from multiple sources

02 Processing and calculations

  • Automated categorization of income and expenses
  • Real-time calculation of cash flow and P&L
  • Standardized financial logic across all data

03 Analytics

  • Key financial metrics and KPIs
  • Interactive dashboards with real-time updates

04 Reporting

  • Automatic generation of financial reports
  • Consistent and structured financial outputs for decision-making

AI Implementation

AI modules were integrated into the platform to analyze financial data, detect inconsistencies, and enhance the overall quality of financial management and decision-making.

  • Anomaly detection across transactions and financial flows
  • Identification of inconsistencies in categorization and reporting
  • Improved accuracy and consistency of financial calculations
  • Automated validation of incoming data
  • Actionable insights and recommendations for financial decisions
  • Reduction of manual checks and human-related errors

How the Solution Works

The platform automatically collects financial data from multiple sources — including integrations, uploaded files, and manual inputs — creating a single point of entry for all financial information. The system then processes the data by categorizing transactions, structuring them according to predefined financial logic, and validating inputs to ensure consistency and accuracy.

All key financial metrics, including cash flow and P&L, are calculated in real time without manual involvement, allowing users to instantly see the current financial state of the business. The processed data is visualized through dashboards and automatically generated reports, giving users a clear and structured view of financial performance.

As a result, users work with ready-to-use financial insights instead of raw data, enabling faster analysis and more informed decision-making.

Results

  • Up to 60% reduction in financial reporting preparation time
  • ~40% reduction in calculation errors
  • 100% centralization of financial data in a single system
  • Up to 2–3× faster access to financial insights
  • Increased transparency and real-time visibility of financial performance

Tech Stack

React icon
TypeScript icon
Node.js icon
PostgreSQL icon
Next.js icon
  • SaaS architecture
  • API integrations
  • AI/ML modules
  • Analytics and data visualization

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