TCS FSaaS – Financial Spreading as a Service on AWS

Financial spreading is a process used by financial analysts to analyze and compare financial statements from different companies or periods. The process involves taking financial data from various sources, such as balance sheets, income statements, and cash flow statements, and organizing it into a standardized format for easy comparison and analysis. Financial spreading can help analysts identify trends, evaluate a company's financial health, and make informed investment decisions. It is an essential tool for investors, lenders, and other stakeholders who need to assess the financial performance and risk of a company.

Financial Institutions globally expend millions of dollars maintaining de-centralized teams to conduct financial spreading, catering to each geography, industry, or business specific spread requirements. Spreading activity is predominantly manual to semi-automated in nature. The need for such large teams tends to get amplified in multi-lingual business where language specific spread documentations are involved. The combination of predominantly manual or semi-automated process leads to the spread being error prone, repeatable, expensive, and enhanced people dependency on spreading subject matter experts.

TCS FSaaS on AWS, an Intelligent Financial Spreading Solution powered by AWS AI, GenAI and Agentic AI services delivers automated spreading and analysis of financial statements, speeding up the credit risk analysis process.

Benefits to Customers: 1.Faster Turnaround time: Automated spreading with Intelligence reduces the spreading turnaround time from hours to a matter of minutes. 2. Reduced Operational Cost: Leveraging AWS managed AI, GenAI and Agentic AI services, Automated spreading process has the potential to save up to 80% of operational cost. 3. Standardization: Process standardization aids in removing human bias and delivers consistent results ensuring higher accuracy. 4. Scalable solution: Cloud based solution, capable of scaling up and down based on variation in load or traffic.