Aviation Finance & Accounting
Employees from the Treasury department of a large aviation company handle many rejections or embargo's from payments on a daily basis. This process has a long throughput time and is very time-consuming. We offer an RPA solution that automates this pipe rejection process. As a result, workers have more time to properly analyze data.
The Treasury department of a large aviation company receives many emails containing regular rejections or embargo’s from payments. Employees of the department open and read the attached files of each email to determine whether they are dealing with a regular rejection or an embargo. After this, employees search for the rejection or embargo in a terminal system. Additional information from this terminal is then copied into an Excel file, which is meant for the business to analyze. After analysis, workers read the Excel file again (now with additional information from the business) to update this information in the terminal system.
This process has a long throughput time and is very time-consuming. Multiple workers are needed to perform these tasks, which means there is less time to properly analyze the data. This rejection process is a repetitive and rule-based task, making this case an excellent candidate for an RPA solution.
Years to ROI
Hours saved annually
Of effort automated
We created a digital workforce using RPA technology to automate the process of pipe rejections. Our goal was to automate the process and create a standardized and sustainable solution that is less sensitive to human error. Our robot is built to perform the following tasks on a daily basis:
Our solution automates 90% of the process and thereby saves 807 hours on a yearly basis. Due to the standardized way of working of the RPA robot, we achieved a 100% error reduction. Our robot also led to a significant increase in employee satisfaction.
We offer a solution that is effective, efficient and reliable. Workers can stop wasting time on manually processing pipe rejections and refocus on work that matters.
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