How Do Slovak Enterprises Use Artificial Intelligence Today?

First Findings from the Data Collection

 

Artificial intelligence is steadily integrating into business processes around the world, and Slovakia is no exception. As technology evolves, companies gain more opportunities to apply AI in practical and meaningful ways. Today, AI goes far beyond generative models – it also includes machine learning, computer vision, robotic process automation (RPA), predictive analytics, and many other technologies.

For some companies, these are still new and abstract concepts, while for others they have already become a natural part of daily operations and a source of higher efficiency and profit. In this article, we take a closer look at how Slovak enterprises approach AI adoption and which areas benefit the most from AI tools.

To understand the current state of AI adoption in Slovakia, our team carried out a survey among Slovak companies in August and September 2025. The results show that more than half of the surveyed enterprises already have hands-on experience with AI: around 68% use such technologies in one form or another. For 26.5%, AI is applied only in selected processes, while 16.5% have integrated it across several areas of their activities. Another 25.9% are currently testing or running pilot projects and gradually moving from experimentation to real use cases. At the same time, 15.1% stated that they do not use AI yet and do not plan to implement it in the near future.

Despite this generally positive momentum, AI adoption is uneven across the Slovak business landscape. The highest usage is found in data-driven, innovation-focused and process-intensive areas, while more traditional supporting and administrative functions are only beginning to adopt intelligent solutions. Below, we take a closer look at the fields where Slovak companies most commonly apply AI and the purposes it serves.

Data Analysis and Business Intelligence

Data analysis and business intelligence stand out as the most advanced areas in terms of AI use. Companies rely on AI to process large datasets, run predictive models and support decision-making at both operational and strategic levels. This reflects global trends, where data analytics has become a core element of digital transformation and a key driver of business efficiency.

Manufacturing

In the manufacturing sector, AI plays an increasingly important role in optimizing production processes. It is used for predictive maintenance and equipment monitoring, production planning, inventory management and improving supply chain operations. Through computer vision, companies can sort and classify products, identify defects and enhance quality control. Some manufacturers also employ autonomous robots, self-learning production lines, digital twins and AI copilots that assist with real-time decision-making. These tools collectively help reduce costs, minimize downtime and improve overall product quality.

Research, Development and Innovation

In research and innovation, AI is becoming a valuable tool for automation and process optimization. Companies use it to analyze data for scientific projects, solve research challenges and support product and service development. AI also enables the creation of digital models and simulations of real devices and manufacturing processes, helping teams make better use of research resources. This reflects a broader shift from traditional engineering approaches to intelligent, high-value solutions.

IT and Cybersecurity

In IT and cybersecurity, AI is applied for facial recognition, user authentication, threat detection and prevention, network risk assessment and fraud monitoring. It also helps automate compliance checks and security audits. Companies report that the main benefits include faster detection of incidents, reduced pressure on security teams, lower risk of unauthorized data access and more accurate identification of malware. AI solutions also support GDPR compliance and improve overall security performance.

Finance and Risk Management

AI is used more selectively in finance and risk management, but it delivers clear value where implemented. Companies apply it to automate accounting workflows, process invoices, detect fraud and anomalies, manage accounts payable and receivable, optimize cash flow and forecast financial trends. These tools help stabilize operations, support investment decisions, reduce costs and streamline financial controls.

Administration and Management

In administration and managerial processes, AI supports strategic planning, real-time operational planning, analysis of ERP and CRM data and performance management. It also enables automation of internal communication through chatbots and virtual assistants, assists with translation and supports compliance with internal policies. As a result, AI contributes to more transparent and data-driven management.

Marketing and Sales

Although AI has significant potential in marketing and sales, adoption in this area is still relatively modest. Companies use AI for customer profiling, price optimization, personalized marketing, market analysis with machine learning, chatbot support, purchase prediction, campaign automation and social media analytics. Respondents note improved targeting accuracy and higher customer satisfaction and loyalty. However, they also mention risks tied to inaccurate demand forecasts, misconfigured models and challenges with proper personalization.

Logistics

In logistics, AI is applied to automate sorting and packaging in warehouses, optimize delivery routes, enhance supply chain management, track shipments and monitor processes in real time. Companies also use AI for knowledge management in B2B sales and for improving customer service. This leads to fewer errors in supply chains and more efficient logistics operations.

Human Resource Management

AI’s impact in HR is still relatively limited compared to other areas. Some companies use it for workforce planning, candidate screening, resume analysis, job matching, career development, personalized training, onboarding, automated performance reviews and turnover prediction. Despite these early steps, AI use in HR remains mostly experimental and is not yet adopted systematically.

Future Directions

Although some Slovak companies are still hesitant to fully implement AI, the overall outlook is positive. A growing number of businesses are preparing to automate and modernize their processes, recognizing the potential of AI to improve efficiency, decision-making, and competitiveness. Around 7.2% plan to launch AI-based solutions within a year, 3.6% within two years, and 5.3% are considering a longer time horizon. Many of these companies are prioritizing areas such as environmental sustainability, data analysis and business intelligence – fields where AI is perceived to offer the greatest value and impact. This gradual adoption suggests that Slovak enterprises are increasingly aware of both the opportunities AI offers and the careful planning required to implement it successfully.

 

If your company is also among those planning to implement AI, make sure to follow our upcoming blog articles. We’ll be sharing new findings from our research along with practical tips and guidance to help you successfully adopt AI. And to make sure you never miss a new post, connect with us on LinkedIn – we share all blog updates there as soon as they go live.