Artificial Intelligence in Shared Service Centers

With the rise of new technologies, shared service centers (SSC) need to constantly adapt their way of operating. A shining example of this trend is Avis Budget Group. Its SSC in Budapest has been supporting the group’s subsidiaries with its expertise for nearly 15 years. Thanks to artificial intelligence (AI) and robotics, Avis Budget Group is continuously driving productivity and the quality of its services. Its collaboration with Finmatics is a case in point. By using AI software, the SSC Financial Services department reduced it’s workload for document handling while improving the quality of its data.

Belegmanagement

Digitalization projects at Gas Connect

How digitalization is discussed and how it is implemented are two different pairs of shoes. Everyone talks about AI and robotics, but in most companies digitalisation comes down to a few technical gimmicks and colorful PowerPoint slides. For Gas Connect Austria, that is not enough. Stefan Reiter sees digitalisation not as an image campaign but as a potential for optimization.

Document management supported by Artificial Intelligence

AI knows no borders. A statement that is not only to be read philosophically, but can also be taken literally. CONFIDA is a living example of the cross-national use of digital workflows and intelligent systems. The international tax consulting and auditing firm from Austria works with the Artificial Intelligence Finmatics at its Southeast European locations. We talked to Christian Braunig, the managing director of CONFIDA, how the domestic software is supporting their international organization.

How AI transforms the Shared Service Center

Anyone who still asks whether AI will persist in accounting asks the wrong question. Béla Tasi, Managing Director of the Shared Service Center of Enteos in Hungary, knows that “it’s only a matter of time before document processing and accounting is largely automated. The experience of recent years suggests that this will happen sooner rather than later.” It is time to redefine the division of labour between humans and AI, and to create future-proof processes. A wake-up call.