The way we engage in banking has evolved over decades, and this process continues to undergo transformations. The use of banking applications has become common. While it may seem that this process is nearly exhausted, today we are witnessing another transformation in banking—this time driven by Artificial Intelligence, which enhances internal bank processes and customer interactions. Due to global disruptions such as the COVID-19 pandemic and the war in Ukraine, the world is undergoing rapid and profound changes, and the banking sector is not exempt from these changes.
One of them is the acceleration of the implementation of broad-based innovations in banking, which has led to a massive digitalization process of the sector. The COVID lockdowns has changed the preferences of customers, to which new business models of banks have adapted by emphasising mobile banking to achieve efficiency, convenience, and increased security. The latter seems to be the biggest risk in the coming years, as technology-based banking systems must deal with various cybersecurity threats. The extensive implementation of Artificial Intelligence (Open AI) can help address these issues in the three pillars mentioned above. Nevertheless, AI is likely to reshape the banking business models we have known for years.

In the past few years many changes had been introduced in Hungarian taxation system, which may be considered a direct impact of digitalisation processes visible in most aspects of life – both economic and social. Due to an increased level of trade and creation of international and value-added chains, transport of goods remained more complex; thus tracking goods also needs technologically advanced methods. It means that goods traceability connects the physical movement of goods with the flow of information.
The aim of this article is to present author’s own research on Electronic Trade and Transport Control System (EKAER) as an example of digital innovations in Hungarian taxation. The study methods used 
include a complex review of literature, legal acts, statistical data as well as using quantitive analyses. As 
a result, examples of new technologies and digital solutions were identified in the field of preventing tax fraud. The major conclusions concern the effects of implementing the studied system. EKAER has a positive influence on VAT revenue, and at the same time meets requirements of modern tax administration.