Robotic Process Automation instead of Outsourcing
Jan 23, 2019  |  Press
Robotic Process Automation instead of Outsourcing

Lack of skilled personnel, scarcity of resources, competitive pressure: There are many reasons why companies outsource business and IT processes. In this context, a study by Axxcon's consultants comes to the conclusion that 81 percent of the surveyed managing directors and CIOs have already outsourced IT functions, and the trend is rising. However, the Fraunhofer Institute for Systems and Innovation Research (ISI) warns: "Often the outsourcing effort is greater than the benefit. "Instead of getting external partners on board at home or abroad, companies should take advantage of the opportunities offered by Robotic Process Automation (RPA)," advise the German RPA experts from Another Monday. The company informs in which areas software robots do more and perform better than external outsourcing companies.

Hans Martens, founder and CEO of Another Monday, explains: "Many companies want to meet the challenges of digital change by reorganizing tasks or outsourcing them to external experts. But that is not enough. Rule-based processes can be handled much more strategically and effectively by software robots. Another Monday combines sophisticated RPA methodology with powerful and reliable technology for a wide range of industries and company sizes. A protracted and expensive outsourcing becomes so unnecessary."

Disadvantages of outsourcing

RPA offers companies numerous advantages and prevents the negative side effects associated with outsourcing. For example, when processes are outsourced, there is an increased need for communication, which takes up a lot of time. In addition, companies are to some extent dependent on the outsourcing partner, and security precautions must be taken when it comes to sensitive data, for example. In addition, the outsourcing of tasks and processes is associated with a certain loss of control, which can be avoided through the use of RPA. Whether it's customer service, human resources, IT or accounting: wherever companies can outsource tasks, software robots can be used more cost-effectively and efficiently.

RPA in accounting

RPA robots work much more efficiently in the financial sector than human employees. Through machine learning and interaction with the responsible employee, individual process steps in the accounting context can be permanently optimized. The typical RPA application areas in accounting include the management of credit allocations, dunning and invoice processing of supplier invoices, the administration of travel expense reports or the independent generation of payment instructions. In addition, software robots can check invoices for completeness and plausibility based on previously defined specifications.

RPA in Human Resources

With the help of RPA, companies can optimize many HR processes. Examples are the procurement, support and development of personnel. The following personnel tasks are predestined for RPA: management of working and absence times, personnel remuneration, tax and duty collection, but also the keeping of legal reports and the rule-based handling of personnel departures. If the personnel file is managed using RPA, companies can reduce errors by up to 80 percent and respond to requests much faster.

RPA in customer service

Customer service also offers many application possibilities for RPA use. Examples are the editing, categorizing and forwarding of customer e-mails. RPA does this tough job in a fraction of the time, because the robot recognizes the content, categorizes it based on defined criteria and automatically assigns the mail to the appropriate department. Further applications in customer service are data management and migration, cancellation processing, booking of product returns, processing of customer complaints, but also RPA integration in chat bots. RPA helps customer service minimize response times, improve customer satisfaction and improve process efficiency.

RPA in Logistics and Purchasing

According to McKinsey, RPA implementation in logistics can increase productivity by 30 percent, increase transaction speed and reduce costs by 25 percent. Supply chain management typically includes incident management, escalation in the event of delivery delays, change orders for transport slots, and supply and demand planning. In purchasing, software robots can take over and improve operative purchasing, supplier and material group management or data maintenance.


This article was also published in German on