AI tools are no longer reserved for large corporations. From chatbots to automated reporting, even the smallest businesses can benefit from using artificial intelligence to save time, cut costs and improve decision making.
But for many small teams, adopting AI is not as simple as signing up for new software. Research shows the top blockers include data security concerns (41%), ethical worries (35%), lack of internal skills (34%), team resistance (30%) and legacy systems (29%)(based on MHR AI Research Report).
While these issues are real, they can be overcome with the right approach.
Let’s break down the top three reasons small businesses struggle with AI and what you can do about them.
1. Data Security Concerns
AI depends on access to data, which makes business leaders understandably cautious. Small teams often worry about where data is stored, how it’s used and whether it could be at risk of breaches.
How to fix it:
Choose providers that are transparent about their security standards. Review contracts carefully to check compliance with UK GDPR. Start with less sensitive use cases, like automating meeting notes or customer FAQs, before moving to areas involving personal or financial data.
By taking a phased approach, you can build confidence in AI tools without putting your business at risk.
2. Lack of Skills and Knowledge
AI can feel overwhelming, especially if your team does not have in-house expertise. This often leads to delays in adoption or failed projects that never get off the ground.
How to fix it:
Upskill your team with short, practical training sessions. Look for AI tools designed for non-technical users. Partner with external experts to guide implementation and avoid expensive trial and error.
Investing in knowledge upfront reduces mistakes and helps staff feel confident using new technology.
3. Team Resistance
Change is rarely easy. Employees may worry that AI will replace their jobs, or they may simply be comfortable with the way things are. This resistance can slow down or even derail adoption.
How to fix it:
Communicate openly about how AI supports people rather than replaces them. Share small success stories that highlight time saved or stress reduced. Involve staff in testing and choosing new tools so they feel ownership of the change.
When employees understand that AI is there to help them, not threaten them, adoption becomes much smoother.
Tool for Growth
Small teams can find it hard to adopt AI, but the challenges can be overcome. With open communication, the right training and safe data practices, AI can be a helpful tool for growth instead of something to worry about.
At Dakota Blue Consulting, we help small business leaders navigate change and prepare their teams for the future of work. If you are considering AI adoption but unsure where to start, we can help you take the right first steps.
Get in touch today to explore how we can support your business.