From Sidelined to Central: Why AI Should Be at Your Company’s Core

Anything you want to excel in, you need to have in the company’s core.

According to the provided statistics by Eurostat about the Use of artificial intelligence in enterprises, in 2024, 13.48% of EU enterprises used AI technologies, in which 41.17% of large EU enterprises used AI technologies. The same goes for building a thriving culture, pursuing sustainability goals, or developing AI. Reports show that companies that don’t just use AI to improve efficiency but make it a core part of their business see the most significant benefits.

“Despite the media boom, AI is still in its early days, and you're not too late to get started. Possibilities are everywhere, across industries and business models.”, says Amanda Aaltonen, CEO and Founder of noaur.

Quote from Amanda Aaltonen, CEO of & founder of noaur about AI media boom

If AI feels complicated or expensive, just start by having a conversation with someone who knows it better than you. The first step is what separates those who build a competitive edge from those who fall behind. This trend is not going anywhere. It will keep evolving, and the gap between those who build and those who don’t will only grow.

Does building AI feel too far from your core expertise? Nearly 50 percent of companies combine in-house development with external AI solutions to meet their needs. This approach helps companies extend their networks and reduce hiring risks. AI Finland’s recent report shows that 60 percent of companies are already engaged in ecosystem collaborations, almost 25 percent are part of peer-to-peer networks or communities, and nearly 30 percent are involved in startup-corporate collaborations in building AI.

What’s more, AI is becoming increasingly accessible and sustainable, not just a tool for tech giants but a practical solution for companies of all sizes. Open-source frameworks and scalable AI tools have lowered the barriers to entry, allowing even small and mid-sized enterprises to experiment and integrate AI without massive upfront investments. Many of these solutions are designed with energy efficiency and responsible AI practices in mind, helping companies align their digital transformation with sustainability goals. By choosing the right partners and tools, organizations can build AI capabilities that are not only effective and cost-efficient but also ethical and future-proof. The biggest challenges? Lack of investment and a shortage of talent. However, the real risk is not taking the first step.

Collaborate, choose your focus, and build your strategy.

Our team is available for bookings if you're ready to take the first step forward: hello@noaur.group

List of this MVP allows you