Digitalisation priorities for Slovak SMEs

The 2026 State of the Digital Decade gives Slovak businesses a mixed signal. Digitalisation among SMEs is moving forward, supported by national measures and European Digital Innovation Hubs, but Slovakia still records low SME digitalisation and below-average adoption of advanced technologies. The European Commission also points to gaps in workforce skills and shortages of ICT specialists.

The tempting response is to buy more technology. A new customer system, dashboard, collaboration platform or AI subscription is visible and easy to announce. Yet many smaller companies already have enough software. Their real difficulty is that customer data, approvals, documents and responsibilities remain fragmented across those tools. Adding another application may digitise one task while making the full process harder to operate.

The current report is therefore most useful as a prompt to prioritise—not as a shopping list. A Slovak SME can make meaningful progress in ninety days if it selects one commercially important workflow, defines the outcome, improves the underlying data and equips the people who will run it.

Read the numbers without chasing the score

Eurostat reported that 71% of EU SMEs reached at least a basic level of digital intensity in 2025, against the Digital Decade ambition of more than 90% by 2030. Twenty-nine percent of SMEs remained at a very low level, while only 9% reached the very high category. The wider 2026 Digital Decade package reports growing use of cloud computing, data analytics and AI across European enterprises, but also persistent barriers for SMEs involving skills, data access, infrastructure and resources.

These figures describe a structural gap; they do not prove that every firm needs the same technology next. Digital needs vary by sector. A manufacturer may benefit most from dependable production and maintenance data. A professional-services firm may need a consistent handover from enquiry to delivery. A distributor may gain more from accurate availability information than from a sophisticated marketing platform.

The better starting question is not “Which tool are we missing?” It is “Where does information currently stop the company from delivering, deciding or invoicing well?”

Choose one workflow with visible business value

A first ninety-day initiative should be important enough to matter but narrow enough to finish. Good candidates recur frequently, cross at least two roles and create measurable waiting, rework or customer friction. Examples include quotation approval, order-to-delivery handover, customer-service escalation, purchase requests, onboarding or monthly reporting.

Map the workflow as it operates today—not as the procedure manual says it should. Follow one recent case from beginning to end. Record every handover, duplicate entry, spreadsheet, email approval, missing field and workaround. Then define a small number of outcomes:

shorter elapsed time from request to completed result;
fewer corrections or repeated entries;
more complete information at the first handover;
clear ownership of exceptions;
a customer or employee experience that is easier to understand.

This keeps the project anchored to operating performance. Technology becomes one design choice among several. Sometimes the first improvement is a required field, a decision boundary or the removal of an unnecessary approval—not a new system.

Build the foundation in the right order

Four layers should be considered together, but they do not need to be solved at enterprise scale.

Process: agree the start, finish, owner, handovers and exceptions. Automating an ambiguous process merely makes ambiguity travel faster.
Data: define the minimum reliable information needed at each step, its source and who may correct it. One trusted customer identifier is more valuable than several disconnected databases.
Integration and security: decide which systems must exchange information, who receives access, how changes are logged and how work continues during an outage. Manual transfer may be acceptable during a pilot if it is explicit and controlled.
Skills and adoption: involve the employees doing the work, train with real cases and give them a clear route for reporting problems. A technically correct solution that people bypass has not digitalised the process.

This sequence also improves vendor conversations. Instead of requesting a generic “digital transformation platform”, the company can describe a real workflow, expected volume, required integrations, data responsibilities, security constraints and success measures. Proposals become easier to compare and hidden implementation work becomes harder to ignore.

A practical ninety-day plan

Days 1–15: diagnose. Select the workflow and appoint one accountable business owner. Establish the baseline using recent cases: elapsed time, work time, rework, missing information and exceptions. Interview the people who perform and receive the work. Confirm the business outcome and what the project will deliberately not address.

Days 16–45: simplify and prototype. Remove avoidable steps, define required data and agree decision boundaries. Configure the smallest viable solution using existing tools where reasonable. Test with representative cases, including failures and exceptions. Review access rights, data protection, backup and recovery before real information is exposed.

Days 46–75: pilot in real work. Run the redesigned process with a controlled group. Observe rather than relying only on survey answers. Track where employees return to email or spreadsheets and ask why. Fix unclear instructions, missing data and integration gaps before adding features.

Days 76–90: measure and decide. Compare the pilot with the baseline. Document what improved, what did not and what new risks appeared. Choose explicitly whether to standardise, revise, stop or expand. A stopped pilot that prevents an expensive rollout is also a useful result.

Do not let funding set the architecture

Slovakia's Digital Decade roadmap includes 127 measures with a stated public budget of EUR 2.26 billion, and the country report says 72% of those measures are scheduled to expire by the end of 2026. The European Semester also credits programmes such as Digitrans and European Digital Innovation Hubs with helping the uptake of digital technologies by SMEs.

That makes it sensible to check current support, testing environments and advisory services. It does not make a grant a business case. A funded system still creates licences, integration, training, ownership and maintenance obligations after the project period. Define the target process and lifecycle cost first; then assess whether available support accelerates a decision the company would still consider sound without it.

Earn the right to scale

After ninety days, the company should have more than a demonstration. It should have a working process, accountable ownership, a small evidence set and a list of lessons that improve the next initiative. Only then should it decide whether the pattern can be reused elsewhere.

Scaling does not mean copying the same tool into every department. It means reusing disciplines: outcome before feature, reliable data before automation, security before exposure, and training around real work. Advanced analytics or AI may then become appropriate—but on top of a process the company understands.

For more on practical, proportionate digital solutions, see our Technology services.

Sources and further reading

Figures and policy context were checked against the following official sources on 6 September 2026. The prioritisation model, ninety-day plan, measures, practical recommendations and wording are original editorial work by Merkle s. r. o.