TECH NEWS – Despite the continued boom in the market for artificial intelligence solutions, more and more alarms are being raised in the corporate sector worldwide. While 72% of companies already use at least one AI solution in their daily operations, estimates suggest that of the $30–40 billion invested in generative AI, only a fraction delivers tangible returns. Procurement, sales, customer service – these areas all benefit from AI, but fragmented micro-applications often operate in isolation, leading to data loss, leaks, poor decision-making due to missing information, and sleepless nights for IT teams. In Hungary, however, integrated platform solutions are now available, combining full data control and unlimited automation opportunities transparently and securely.

According to experts from Stylers Group, there is a dual situation in Hungary’s corporate AI adoption. While small and medium-sized enterprises are rushing ahead with different applications – often ignoring legal or security concerns – larger companies are moving cautiously to ensure their investments bring the expected results. The picture is mixed: international studies show that while 92% of companies plan to invest in AI over the coming years, only 1% can claim to operate a mature, fully integrated system. “Right now, we see the strongest demand for knowledge-driven AI solutions in sales and marketing. The biggest growth is in AI agents, which will not only ‘think’ but also act on behalf of or alongside the user,” said Gábor Gönczy, managing director and co-owner of Stylers Group.

Keeping Up Is Impossible – “Shadow AI” Becomes the New Corporate Fear

Despite rapid technological advances, effective and profit-generating AI implementation is still in its infancy for most companies. Isolated applications that don’t communicate with one another create growing headaches for executives – and even bigger ones for IT security teams. Departments often adopt their own stand-alone solutions, which may speed up work in the short term but can easily lead to security gaps and inefficiency. This phenomenon is increasingly referred to as “shadow AI.” “It may look like a competitive edge for the moment, but in the long run it poses massive data security and operational risks,” warned Gönczy. One of the greatest dangers is that management and IT often don’t even know which AI systems some departments are using, meaning there are no unified rules for data protection, storage, or ethical use.

And that’s without mentioning individual users – in the United States, nearly half (46%) of employees use some form of AI tool. While it helps them work more efficiently, many also fear that these tools may eventually replace their roles. Corporate leaders, meanwhile, are more concerned about maximizing returns on AI investments while worrying that given the market’s rapid changes, the systems they implement may already be outdated at launch. Moreover, using unqualified systems can easily result in sensitive data leaks – after all, who would want an employee to accidentally train an AI on the company payroll?

From “Digital Patching” to Unified AI Platforms

The chaos of corporate AI could be solved by complex ecosystems that integrate various tools into one platform. Instead of isolated micro-apps, the result is a scalable system capable of supporting long-term strategic goals. “A well-designed AI ecosystem not only reduces costs but also makes operations transparent and secure. It enables cross-department process automation, while leadership can track and measure system performance in real time,” Gönczy emphasized. Integration also helps companies avoid duplicate licensing fees and challenges linked to labor shortages. A unified ecosystem accepted across all company levels is also a solid foundation for corporate training and retraining programs.

Planned and conscious AI implementation is not a one-off project but an ongoing development that requires long-term commitment. Companies that embrace an ecosystem mindset today will be much more agile in responding to future technological shifts – whether in generative AI, automated decision support systems, or data protection challenges. “Among solutions available in the Hungarian market, the Atlas platform is unique. It can be tailored to a company’s needs in weeks instead of months. Businesses don’t even need to abandon their existing systems, since it integrates seamlessly with existing ERP platforms. It also guarantees maximum security, as all corporate data can be stored in a private cloud or on-premise servers. Even internal leaks can be prevented by assigning different levels of access rights to employees,” explained Gönczy.

Source: Influence Media