The paradox at the heart of Belgian digital transformation
Belgium is not a country that needs to be convinced to digitalise. The numbers tell a clear story of genuine, accelerating adoption.
According to the European Commission's Digital Decade 2025 Country Report for Belgium, 84% of Belgian SMEs have reached at least a basic level of digital intensity, placing Belgium consistently among the top performers in the EU. Le Cercle AI data shows that 34.5% of Belgian companies were using at least one AI application in 2025, more than double the 13.8% recorded in 2023. And according to Wolters Kluwer's SME digital maturity research, 75% of Belgian SMEs now use AI tools at least weekly, with 69% planning to increase their AI investment over the next three years.
Belgium ranks third in Europe for AI adoption at work, behind only Denmark and Sweden. 34% of Belgian SMEs operate entirely in the cloud, one of the highest rates in the EU.
And yet. Only 13% of companies using AI have a formal governance policy. According to PwC Belgium's AI adoption research, in Benelux organisations that do have an AI policy, only 20% have a centralised AI team responsible for all initiatives. More than 60% implement AI per department or project, creating siloed, uncoordinated stacks with no unified oversight.
This is the Belgian digital paradox: a country that adopts fast and governs slowly.
The Sparagus read: The question for Belgian companies is no longer "should we digitalise?" That debate is over. The question is "are we building something coherent, or are we accumulating tools?" For most SMEs right now, the honest answer is the second one.
What the adoption figures actually hide
Headline adoption numbers flatter. They count any use of a qualifying tool, but they don't measure whether that use is structured, secure, or strategically aligned.
Look at the regional breakdown: while 84% of Belgian SMEs reach basic digital intensity nationally, that figure drops to 79% in Wallonia, according to the DESI 2025 regional report published by IWEPS. The digital geography of Belgium is not uniform, and the gap compounds: regions with lower baseline adoption also tend to have thinner support ecosystems for the governance work that follows.
Look at company size: according to IT Daily Belgium's analysis of the digital divide, 95.3% of large Belgian enterprises achieve high to very high digital maturity. For SMEs, that figure is 34.5%. One in five SMEs remains in the lowest digital maturity category. The same tools are available to everyone. The capacity to implement and govern them is not evenly distributed.
And look at the AI adoption figures by company size: only 14.4% of Belgian micro-businesses and 20.7% of small businesses use AI, compared to 35.7% of medium-sized enterprises. Adoption is real, but it is concentrated. The aggregate figures mask a long tail of companies that are further behind than the averages suggest.
The Sparagus read: Being in the 84% that has basic digital intensity is a low bar. It means you use email, have a website, and probably use some cloud storage. It does not mean you have a digital strategy, a data governance framework, or a coherent view of what your tools are doing. The gap between basic adoption and strategic maturity is where most Belgian SMEs are sitting right now.
What the governance gap looks like on the ground
When tools arrive faster than governance, the consequences are predictable and well-documented. Here is what they look like in practice for Belgian SMEs.
Shadow IT and shadow AI
Employees adopt tools independently, often with legitimate intentions, and without IT knowledge. CIO Dive's analysis of Torii's 2026 SaaS Benchmark Report found that the average enterprise now runs more than 830 applications, with over 61% operating outside formal IT oversight. Each employee interacts with an average of 40 applications. For SMEs, where IT capacity is thinner and approval processes are informal, those proportions are likely higher.
AI tools are the fastest-growing source of unmanaged access. More than half of the shadow applications discovered in enterprise environments are now AI-first tools. This is not theoretical risk. As we documented in our previous article on AI shame, 20% of data breaches are now linked to shadow AI, at a cost premium of $670,000 per incident.
SaaS sprawl and duplication
Without central procurement, teams independently adopt tools that overlap in function. The marketing team uses one project management tool, the operations team uses another, finance uses a third. None are integrated. Data lives in silos. Reports require manual consolidation. And every subscription renewal is a renegotiation that IT didn't know was happening.
The cost is not just financial. It's operational: people spend time managing tools rather than doing work, and decisions are made on incomplete data because no one has a unified view.
Security gaps that are invisible until they aren't
Every unsanctioned tool is a potential compliance and security risk. Tools that handle personal data, client information, or financial records need to meet GDPR requirements and, increasingly, EU AI Act obligations. When procurement happens at the team level without legal or IT review, those requirements are simply not checked. The risk accumulates quietly until an incident surfaces it.
Employees left to figure it out themselves
When there is no AI policy, no approved tool list, and no training programme, employees default to what they know, what they find, and what their peers recommend. This produces wide variance in capability and output quality across the same organisation, with no way to lift the average or identify where the problems are.
The Sparagus read: None of these problems are caused by bad intentions. They are caused by organisations that prioritised adoption speed over adoption quality. That was a reasonable trade-off when the tools were low-stakes. It is a less reasonable trade-off now that employees are feeding company data into AI platforms, automating decisions, and processing client information through third-party systems that haven't been vetted.
Why governance lags: the real reasons
Belgian SME leaders are not naive about the gap. Most know their governance is thin. The question is why they haven't closed it.
Four structural reasons dominate:
- Capacity constraints. The person responsible for IT in most Belgian SMEs has between 5 and 15 other responsibilities. Strategic governance work requires uninterrupted thinking time that rarely exists in that role.
- Perceived complexity. "Governance" sounds like something large enterprises do with dedicated teams and external consultants. Many SME leaders don't realise that a practical AI usage policy, a tool inventory, and a data classification framework can be produced in a week with the right guidance.
- No immediate forcing event. Unlike a cyberattack or a regulatory audit, poor governance doesn't announce itself. The costs are diffuse and delayed, making it easy to defer.
- Talent shortage. PwC Belgium reports that 72% of Benelux employers struggle to fill technical roles. Companies that want to build governance capability often can't find the profiles to do it, or can't afford them at market rate.
The Sparagus read: The forcing event for governance is coming, whether Belgian SMEs choose it or not. The EU AI Act, NIS2 compliance, GDPR enforcement, and the increasing sophistication of audits will all create moments where the absence of a governance framework becomes a liability rather than an oversight. Better to build it by design than by incident.
How to stop tinkering and start structuring
Governance does not require a transformation programme. For most Belgian SMEs, it requires five concrete steps that can be completed in 60 to 90 days.
- Do a tool inventory. Ask every department to list the software they use, including free tools, browser extensions, and AI platforms. You will find more than you expect. That inventory is the foundation of everything that follows.
- Classify your data. Decide which information categories can be used with external tools (public, non-sensitive content), which require controls (internal data, financial information), and which cannot leave your environment (client PII, legal documents, confidential strategies). This classification takes a day to draft and removes the ambiguity that causes most governance failures.
- Write a one-page AI usage policy. Not a legal document. A practical guide that employees can read in five minutes and apply immediately. Which tools are approved. What data can be used with them. Who to ask when unsure. This single document addresses the root cause of shadow AI in most organisations.
- Designate a governance owner. It doesn't need to be a full-time role. It needs to be a named person with the authority to approve new tool requests and the responsibility to review the landscape twice a year.
- Connect governance to hiring strategy. Every new role is an opportunity to bring in digital capability. Define what digital literacy looks like for each function, and make it a factor in hiring and development decisions. This is where talent strategy and digital strategy converge.
The Sparagus read: The companies that structure their governance now will have a measurable competitive advantage within 18 months. Not because governance is exciting, but because the organisations without it will spend increasing proportions of their time managing incidents, duplication, and compliance issues instead of executing on strategy. The digital foundation matters more as the digital stack grows. Belgian SMEs have built significant stacks. The foundation work is overdue.
In short
Belgium has earned its position among Europe's most digitally active countries. The adoption numbers are real and the momentum is genuine. But adoption without governance is a stack of tools waiting for a problem.
The companies that will lead the next phase of Belgian digital transformation are not the ones that adopt the most tools the fastest. They are the ones that use fewer tools more deliberately, with clear policies, integrated data, and teams that know what they're doing and why.
The question is no longer "faut-il digitaliser?" It's how to stop tinkering and start building something that lasts.
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