The momentum of AI and cloud adoption among Polish enterprises is steadily growing. A 2023 Eurostat report highlights a 41.5% increase in cloud adoption. Unlike before, the cloud is now considered a comprehensive platform for scaling AI, rapidly deploying products, and fostering innovation. Yet, despite rapid investment in AI and cloud digital transformation, many enterprises remain reluctant to embrace this change.
Polish enterprises chiefly focus on tangible business value. However, strategy gaps, legacy systems, IT skill shortages, and unclear roadmaps limit the ability to turn digital transformation into a sustainable competitive advantage.
This article aims to help Polish enterprises understand the current state of AI and cloud adoption in Poland, its importance, and the steps needed to successfully implement the technology.
The Present Picture of AI and Cloud Adoption in Polish Enterprises
Industrial reports indicate that AI use across Polish companies has increased by 30%, placing the country among the leading EU nations in AI integration.
Companies report realizing up to 83% business value and 73% cost savings from AI initiatives. Some enterprises are spearheading AI and cloud digital transformation, whereas others are still in the experimentation phase, struggling to shift from the pilot to the production stage. Many enterprises hesitate due to legacy systems, potential operational disruption, cost control, and regulatory concerns.
However, AI and cloud adoption are important for Polish enterprises to enhance competitiveness, boost productivity, and operate seamlessly across local and global markets. The first step toward an effective transformation journey is determining an AI readiness assessment. This means a company must have clarity about operational challenges, align technology with business needs, and focus on measurable business outcomes.
Why Cloud Investment Alone Often Stalls After Initial Adoption
The fear of missing out has increased the demand for AI and cloud technologies. However, strategic chaos and a lack of vision lead to an ‘ implementation freeze’ after technology adoption, restricting companies from realizing the lucrative value of AI and cloud digital transformation in Poland.
Some of the main reasons for adoption failure include:
- AI and cloud implementation without business alignment: Following the initial AI implementation and cloud migration phase, most Polish enterprises reach a dead-end due to a lack of enterprise AI and cloud strategy. Companies fail to align the goals of business and technology adoption. This leads to cost overruns and a gradual halt of the digital transformation project.
- AI pilot without a strong data foundation: Most cloud migration strategies for Polish enterprises fail due to a lack of structured, high-quality data. A Forbes report highlights that 95% of AI projects take a nosedive due to poor data quality. Most companies still run on siloed, unstructured, biased, or old data sets devoid of compliance controls. When AI models train on such data, inaccurate insights, inconsistent predictions, and security risks become inevitable.
- Cost overruns and technological complexities: Misaligned business objectives coupled with unrealistic ROI expectations and poor cloud pricing strategy often result in ‘accounting shock.’ Issues such as inefficient cost monitoring, excessive resource reservation, and misconfiguration can significantly increase expenses. This ‘shock’ prompts the management to stall the entire digital transformation project.
- Legacy systems carrying out key operations: Polish companies need to be AI- and cloud-ready. Most companies still rely on on-premise systems for high-stakes processes. This creates security and integration complexities.
- Shortage of skilled workers: Lack of digital skills is a major problem thwarting impactful AI and cloud digital transformation in Poland. Enterprises need to upskill and reskill their workforce to shift from basic to advanced AI-powered digitization.
A Strategic Digital Transformation Roadmap for Polish Enterprises
More than tactical initiatives, Polish enterprises need a structured AI and cloud transformation roadmap that ties technology adoption directly with business outcomes.
An intelligent transformation roadmap focuses on five essential initiatives:
- A structured enterprise IT transformation roadmap: The first major step is ensuring clarity about business objectives, operational constraints, and sustainable scalability goals. Enterprises must assess their current infrastructure readiness for AI and cloud adoption and data maturity before embarking on production-scale initiatives.
The explosion of AI use is encouraging many Polish companies to embrace cloud migration. However, successful transformation needs data platform readiness, application modernization, and strategic automation aligned with business objectives. Most companies do not possess these capabilities in-house.
Technology partners such as Evoke Technologies enable enterprises to overcome this challenge by offering comprehensive expertise—from cloud and application development to data engineering and smart automation. Technology partners assess existing systems to determine optimal migration methods and cloud frameworks. This structured approach effectively speeds up time-to-value from digital investments while reducing technical debt.
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Cloud and legacy application rationalization:
Many Polish companies work in hybrid environments where both legacy and modern cloud platforms coexist. While the hybrid approach is praised for flexibility, it also brings integration challenges to the table, performance bottlenecks, and operational inefficiencies, especially during peak workload.
Hence, instead of undergoing a complete digital transformation ‘overhaul,’ cloud migration based on domain, value, criticality, and architecture would be helpful. Strategies such as re-platforming, refactoring, and rebuilding legacy systems allow enterprises to gradually shift from legacy to cloud-native systems. This ensures digital transformation with minimal disruption.
Evoke Technologies helps make the cloud migration process seamless with minimal downtime while maximizing ROI. They possess experts’ insight not only into technological complexities but also into governance compliance. Moreover, Evoke’s proven methodologies help deliver migration solutions that ensure resilience and security.
For example, a large vehicle and parts distributor wanted to streamline their operations. Evoke helped the company overcome data silos and integration complexities with a tailored Microsoft Dynamics 365 Business Central Solution. This led to accurate, up-to-date financial information and actionable insights, facilitating informed decision-making. -
Data and AI readiness with embedded governance:
AI-powered clouds work best when the data quality is rich and accessible across the systems and the infrastructure is embedded with security by design. Centralized data platforms, standardized governance policies, and analytics frameworks are essential to achieve this goal.
However, ensuring data quality and AI readiness are often time-intensive processes, and navigating the compliance landscape makes them even more taxing. A Forbes report highlights that 95% of AI projects fail due to poor data quality.
Companies can work with data and analytics experts, such as Evoke Technologies, to enhance data quality and enable data-backed decision-making. Evoke’s data modernization solutions empower companies to build an architecture that supports advanced AI/ML operations. For instance, Evoke automated a company’s property inspection process with a smart AI solution. This improved the company’s reporting accuracy by 70%-80%. -
Phased execution:
Consider an iterative execution and feedback-based digital transformation approach. Identify and start with low-complexity and high-value use cases, such as customer service desk management and open order forecasting. IT service providers such as Evoke Technologies help identify and prioritize initial transformation use cases, including determining whether processes require application enhancement or new system development.
Work with the service partner to track ROI from the first day and measure business-focused KPIs. These ‘quick wins’ help to fund larger and more complex integration projects while boosting internal confidence and technological competence over time.
Evoke, for instance, automated and streamlined a company’s insurance policy management with an AI agent. This enhanced operational efficiency and resolved customer queries without delay. In another use case, Evoke helped a leading FMCG company automate open order forecasting, improving production planning with a better understanding of sales patterns and trends.
From Cloud Consumption to Measurable Business Outcomes
Measuring the business value and ROI of AI and cloud digital transformation is essential for Polish enterprises to evaluate the effectiveness of adoption and ensure long-term sustainability.
Some of the major aspects of assessing business value are:
- Result-focused KPIs: Instead of focusing solely on IT spending, a company needs to consider the potential business value of an enterprise software modernization with AI and cloud services. It is essential to assess factors such as revenue growth, productivity gains, investment efficiency, and service enhancements.
- Cloud cost optimization: 71% of Polish enterprises have migrated applications and data to the cloud platforms, with the Software as a Service (SaaS) model being the most popular initiative. However, many Polish companies still struggle with ‘bill shock’ due to hybrid architectures where on-premise systems coexist with cloud-native environments. Implementing FinOps practices helps monitor resource consumption, cloud expenses, and aligns infrastructure costs with operational needs.
- AI lifecycle governance: While AI-powered cloud offers ample benefits, robust governance and compliance remain crucial, especially for high-stakes sectors such as healthcare, finance, and the public sector. Responsible AI governance helps build explainable models, minimize regulatory risks, and convert AI projects into valuable, scalable business assets that fuel enterprise growth.
Why and How to Choose the Right Transformation Partner
Despite the benefits of AI and cloud digital transformation, its effective implementation can be difficult. It needs an expert skill set, advanced data analysis, and the right integration infrastructure. Working with the right technological partner can help Polish enterprises overcome these challenges.
Certain factors need to be considered while selecting the right technological partner; these include:
- Domain-specific expertise with in-depth knowledge about the Polish market and regulations
- End-to-end solution delivery capabilities, from creating a transformation roadmap to post-service optimization
- Actively collaborate with your teams and organizational culture, ensuring strategic alignment
- Equipped with the latest tool stack, infrastructure, and in-depth know-how to drive innovation
- Understand AI and cloud migration complexities, opportunities, and trends
- Showcase proven frameworks, methodologies, and a strong portfolio of delivering measurable business outcomes
The surge in AI and cloud adoption among Polish enterprises clearly shows growing interest in technology upgrades. However, despite the pace of adoption, few companies are able to realize the full business value. Strategic chaos caused by a lack of vision, misalignment, and poor data quality often leads to costly migration and integration complexities.
Evidently, it is clear that Polish enterprises need a strategic roadmap more than a tactical guidebook for digital transformation. This is where partnering with a reliable, expert digital transformation provider, such as Evoke Technologies, can help achieve this objective.
At Evoke Technologies, our team of AI and cloud professionals in Poland empowers businesses to transform operational workflows with AI-powered, cloud-native solutions. From providing strategic digital transformation roadmaps to enabling seamless AI-driven automation and cloud migration, our cloud Center of Excellence (CoEs) experts ensure technology initiatives deliver measurable outcomes, scalable performance, and sustainable value.
Connect with Evoke to learn more.