Where AI can and cannot help SMEs

AI has been the buzzword of recent years. Everywhere you read that artificial intelligence will transform your business, make it more efficient, and perhaps even take over jobs. But what does AI actually mean for an SME in the Flemish Ardennes? Where can it truly help, and where is it mostly just hype?

First things first: what is AI exactly?

AI, or artificial intelligence, is an umbrella term for software that can perform tasks that normally require human intelligence. Think of:

• Understanding and generating text (like ChatGPT)
• Recognising patterns in data
• Making predictions
• Making decisions based on rules

Not all "AI" is created equal. What is often called AI is sometimes just smart automation with pre-programmed rules.

Where AI can help in an SME

Let's get specific. These are areas where AI is already practically applicable today:

1. Writing and rewriting texts

Tools like ChatGPT, Gemini or Mistral are excellent for:

• Drafting or improving emails
• Writing product descriptions
• Creating social media posts
• Translating texts
• Standardising quote texts

Practical example: You can train ChatGPT with your own writing style and standard terms. This way, you create a quote in 5 minutes that would otherwise take 30 minutes.

2. Customer service and FAQs

AI chatbots can answer frequently asked questions, be available 24/7, and only forward complex queries to a team member. Ideal for businesses with recurring questions about delivery times, prices, or opening hours.

3. Data analysis and reporting

AI can recognise patterns in your sales data, predict which months will be busy, or flag which customers are at risk of leaving. This used to be reserved for large companies with data analysts, but is now becoming more accessible.

4. Document processing

AI can automatically read and categorise invoices and receipts. Tools like Yuki and BillToBox already use this to recognise and process documents.

5. Planning and scheduling

AI can help optimise schedules – think of route planning for technicians or predicting required stock levels.

Where AI is not (yet) good at

Now for the reality check. These are areas where AI falls short or can even be dangerous:

1. High-impact decisions

AI makes mistakes – sometimes subtle, sometimes blatant. For decisions about personnel, major investments, or legal matters, human oversight is essential. AI can provide information, but the decision remains human work.

2. Complex customer relationships

A chatbot can answer basic questions, but calming an angry customer or conducting a delicate negotiation? That requires human insight, empathy, and improvisation – things AI does not excel at.

3. Creative and strategic thinking

AI can create variations on existing ideas, but truly conceiving new concepts, reinventing your market position, or developing an innovative service? That remains human work.

4. Understanding context

AI does not know your business, your customers, or the local market. It lacks the context that you as an entrepreneur do have. An AI-generated quote can be technically correct but completely miss the needs of that specific customer.

5. Processing confidential information

Be careful with what you feed into AI tools. Pasting customer data, financial information, or trade secrets into ChatGPT is a privacy risk. Choose business versions with data protection, or process sensitive data locally.

The right mindset: AI as a tool

The most successful application of AI in SMEs is not "AI that takes over the work", but "AI that speeds up the work". Think of:

• AI creates a first draft → you perfect it
• AI gathers information → you make the decision
• AI handles routine queries → you focus on complex cases
• AI flags anomalies → you investigate and act

With this approach, you get the best out of AI without the risks of blind trust.

Practical tips to get started

1. Start small
   Try one tool for one task. For example: use ChatGPT for emails for a month.
2. Check the output
   Don't trust AI blindly. Read what it generates and adjust where needed.
3. Mind your privacy
   Don't put confidential customer or business data into free AI tools.
4. Measure the results
   How much time are you saving? Is the quality good enough? Adjust based on experience.
5. Keep learning
   AI is evolving rapidly. What isn't possible today might be possible next year.

Conclusion

AI is not a magic solution that solves all your problems, but it's also not just hype that you can ignore. The truth lies in the middle: AI is a powerful tool that, when used smartly, can save you time and improve your work.

The key is realistic expectations and critical thinking. Use AI where it works, maintain human oversight where it's needed, and stay curious about what becomes possible.