Automate the data extraction and consolidation of financial data in various systems such as ERP, CRM, and accounting software using RPA. The bots can then consolidate the data into a central repository for analysis. AI/ML would then identify trends, patterns, and outliers to build a model. This model and consolidated data are then used for financial analysis such as forecasting, budgeting, and the automatic generation of various financial reports such as balance sheets, income statements, and cash flow statements. Intelligent automation can also be used to analyze variances between actual financial results and budgeted or forecasted results, and flag any discrepancies.
This can lead to improvements in efficiency, accuracy, and decision-making, while also reducing costs and freeing up resources. Additionally, it also improves governance and compliance.