Robotic process automation (RPA) is a software that automates repetitive operations in various applications, such as collecting forms, sending receipts, checking for completion, and adding data to spreadsheets. This thesis project aims to increase efficiency, productivity, and lower business expenses by automating tedious processes within an organization. Using process visualization diagrams, the accounting department was able to narrow down its business's general demands into development specifications. After final validation through test cases, it was decided that an automated manual method would be the best course of action. The research compared several RPA systems, identified the optimal manual approach, and delves deeper into RPA. The findings showed an improvement in performance over the last 18 months, with the number of RPAs increasing due to more personnel saving time. The efficient integration of RPAs into operational processes could lead to this improvement. The combination of RPA and manual methods was well-suited to each other, and additional benefits could exist if the automation team maintains production and adoption rate. RPA speeds up both the organization's processing time and employees' ability to focus on value-added tasks.