Implementing AI in your SME: process by process towards a future-proof business

"How can I use AI in my business?" Type "AI in my business" into Google and it immediately suggests questions like how to integrate AI into it. The honest answer does not start with ChatGPT, Copilot or a new software package, but with the way your business works. If you build AI into your processes instead of next to them, you make your company future-proof step by step, without turning everything upside down at once.

Where SMEs stand today

According to Statbel, just over a third (34.5 percent) of Belgian companies with at least ten employees used some form of AI in 2025. Among companies with more than 250 employees it is three in four. Across Europe you see the same gap: 17 percent of small enterprises use AI, compared with 55 percent of large ones.

More interesting is why companies that considered AI did not go ahead. Among European companies in that situation, Eurostat reports that 71 percent cite a lack of expertise, 53 percent unclear legal consequences and 49 percent concerns about privacy. Only 21 percent found AI not useful. So the question is rarely whether AI can help, but how to get started without taking risks.

Not every step needs AI

The biggest mistake is treating AI as one thing you "roll out". Take a process and break it into steps. For each step there are three options:

• Plain automation for work with fixed rules: moving data from one system to another, booking an invoice, sending a reminder. Cheap, predictable and auditable.
• AI for work where someone today reads, interprets or writes something: understanding an order sent by email, extracting data from a PDF, drafting a summary or a first reply.
• People for judgement, exceptions, customer relationships and accountability.

An example: a customer emails an order. AI extracts the items and quantities from the email, an automation enters them into order management, and an employee only looks at the orders that deviate. Nobody retypes anything, and people decide where it matters.

Research points the same way. In the global AI survey McKinsey published in March 2025, out of 25 factors examined, the redesign of workflows was most strongly linked to the bottom-line impact companies themselves attribute to generative AI. Yet only 21 percent of respondents whose organisations use generative AI said at least some workflows had been fundamentally redesigned.

How to make your SME future-proof, step by step

1. Map one process as it really runs. Not as the procedure describes it, but as your people do it today, including the Excel lists and the emails.
2. Choose per step: automation, AI or people. Start with the steps that recur often and cost a lot of time or errors.
3. Make sure your data is right. AI and automation amplify what is already there. One reliable source per piece of data matters more than the smartest model.
4. Build small, measure, then expand. One working process teaches you more than ten pilots. Read also why quick wins work better than a big bang.
5. Bring your people along. Under the European AI Act, anyone deploying AI must take measures to support the AI literacy of their staff. The obligation has applied since February 2025 and was relaxed in July 2026: no specific level or certificate is required. Above all, make sure your team knows what the tools can and cannot do.

The knowledge and integrations you build for the first process are reused in the second. Over time, that grows into a company brain.

What about the kmo-portefeuille?

Many Flemish SMEs look for subsidies first. Note that since 1 February 2026 the kmo-portefeuille (the Flemish SME wallet) only supports advice on cybersecurity. Training in certain future-oriented themes still qualifies (30 percent support for small and 20 percent for medium-sized enterprises, up to 7,500 euros a year) as long as the 2026 budget lasts. The Flemish government has decided to end the scheme on 1 January 2027. So look at what a process delivers, not at the subsidy.

How Strategoo approaches this

We combine strategy and building in one team, without a product of our own to sell. That is why we do not start with the tool, but with your processes and your data, and choose per step what fits: a simple automation, AI, or just a better agreement between people. In everything we build, ordinary software calculates the numbers and AI only writes the assessment, so every result stays explainable. People stay in control, the knowledge remains yours, and the founders work on every project themselves.

Frequently asked questions

How do I start with AI in my business? Pick one process that recurs often and takes a lot of time, map it, and decide per step whether automation, AI or an employee fits best. Measure the result before you expand.

What is the difference between automation and AI? Automation follows fixed rules and always gives the same result for the same input. AI can understand unstructured information such as emails and documents, but needs oversight. The best solutions combine both.

Can I get a subsidy for AI consulting? Not through the kmo-portefeuille anymore: since 1 February 2026 only cybersecurity advice qualifies, and the scheme ends on 1 January 2027. Training related to your professional activity does remain tax-deductible.

Sources

• Statbel, ICT and e-commerce in enterprises (December 2025). statbel.fgov.be
• Eurostat, Use of artificial intelligence in enterprises (December 2025). ec.europa.eu
• McKinsey, The state of AI: How organizations are rewiring to capture value (March 2025). mckinsey.com
• Regulation (EU) 2026/1744 (Digital Omnibus on AI), new Article 4 of the AI Act. eur-lex.europa.eu
• European Commission, AI Literacy: Questions & Answers. digital-strategy.ec.europa.eu
• VLAIO, Reform of the kmo-portefeuille: from 1 February 2026 only cybersecurity advice (January 2026, in Dutch). vlaio.be
• VLAIO, Flemish government decides to end the kmo-portefeuille (October 2026, in Dutch). vlaio.be