Generative AI for SMEs: Why the time to act is today

Generative AI (GenAI) is no longer a distant promise—it’s a practical tool that small and medium-sized enterprises (SMEs) can benefit from at present. Discover how SMEs are already putting it to work and the outcomes that are easily within reach.

Why GenAI and why now?

Only a year ago, many Finnish SMEs approached GenAI with caution. My research showed that about half had started experimenting with it—testing tools like ChatGPT or MS Copilot—while others held back, uncertain of its value or wary of the hype.

Fast forward to spring 2025: GenAI tools have quickly matured, and early adopters have used this time to learn what works for them. Some are now automating customer service or driving innovation, for instance. The cost for those standing still is growing quickly.

GenAI offers various concrete benefits such as saving time on routine tasks like reporting and emails. It also enables smarter decision-making through faster data analysis, enhances customer experience and internal collaboration, and helps to explore new business opportunities.

And the best part is, most SMEs don’t need any major new systems to get started—just better use of what they already have.

How to begin – a practical approach

Another piece of good news is that there’s no need for a six-month roadmap to start with GenAI. Below is a simplified path to follow, based on insights from my interviews on what’s worked for other SMEs.

First, assess what the company already has. Look at the existing tools such as Microsoft 365, Salesforce, or Google Workspace. Are there AI features not being used yet? Which processes are ripe for automation and can be considered low-hanging fruits?

Next, clarify the vision. Ask where AI can genuinely help the business, whether in sales, customer support, or product development. Make sure the business side—not just IT—is driving the conversation.

Then, discover use cases across the business. AI isn’t just for tech teams. Involve employees from different roles—often the most useful ideas come from those working hands-on with day-to-day tasks.

Start small and learn fast. Run pilots or proofs of concept. Focus on learning, not perfection. Scale successful cases and learn from the rest.

Finally, build a culture of sharing. Encourage people to share what they’re trying out with AI, what works and what doesn’t. Use internal channels, learning sessions, and networks to keep knowledge flowing.

What to expect – and how to keep going

Even the most forward-thinking companies face hurdles integrating GenAI into daily operations. My research shows that SMEs faced similar issues, the biggest one being a lack of understanding and top management support. Many business leaders simply didn’t know what GenAI can do, or how easy it is to get started.

Flashy demos also set high expectations, leading to frustration when tools didn’t measure up. Calculating ROI was challenging, and some overlooked the cost of inaction. While user-friendly, GenAI tools still require time and new skills.

So what can be done to overcome these challenges?

Begin with experimentation, open conversations, and internal sharing. Focus on real business needs and use pilots for quick wins, such as customer service automation. Leverage partnerships, like us at Sofigate, that use frameworks such as the Business Technology Standard to help map capabilities and move forward.

Continuously learn by using external networks, asking questions, and bringing in experts when needed. Keep expectations realistic and focus on solving real problems rather than chasing every new tool. Last but definitely not least, invest in people by encouraging experimentation and building internal champions.

The best time to start is now

Taking the first step doesn’t require having all the answers. What is needed is a bit of curiosity, a few smart questions, and the willingness to learn. GenAI isn’t just about technology—it’s about working smarter, staying competitive, and empowering people.

I hope those who haven’t yet embraced AI will soon take that first step. National programs like AI Finland’s AI 1000 are designed to help, aiming to train 1,000 business leaders and kick off 1,000 ambitious AI projects within a year.

By partnering smartly, building on existing resources, and choosing initial steps wisely, real value can be unlocked faster than expected.

ChatGPT helped in writing this blog post.

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