AUTOMATION IN THE PUBLIC SECTOR
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A mortgage lender struggled with a lengthy and manual mortgage underwriting process. The manual review of borrower information, credit history, and property details resulted in bottlenecks, increased turnaround times, and high operational costs.
A global bank faced challenges in reconciling thousands of accounts across multiple systems and databases. The manual reconciliation process was time-consuming, prone to errors, and lacked visibility into discrepancies.
Case Study: Streamlining Mortgage Application Processing for Improved Efficiency
In the past, only humans had access to passwords and other login credentials.
RPA solutions will employ artificial intelligence (AI) to learn and improve, enabling them to handle virtually all back-office processes from end-to-end.
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