AI is changing the way businesses work. From improving customer experiences and analyzing information to streamlining workflows and supporting better decisions, organizations are finding new ways to bring AI into their day-to-day operations.
But for many small and medium-sized businesses, the challenge is not understanding that AI matters. The challenge is figuring out where to start.
Many business leaders are asking the same practical questions: Where can AI create real value for our business? Which processes are worth exploring? How do we experiment without creating unnecessary risk? And how do we make progress when our teams are already balancing competing priorities?
These questions do not mean businesses are falling behind. They show that employers want to approach AI in a way that makes sense for their teams, customers, and operations.
The reality is that AI adoption is moving quickly, but confidence in using AI effectively has not kept pace. McKinsey’s 2025 Global AI Survey found that 88% of organizations regularly use AI across at least one business function, yet many companies are still working to move beyond experimentation and achieve meaningful business impact.
For SMEs, that transition can feel even more challenging. Without large technology teams or dedicated AI specialists, deciding where to focus time, resources, and attention is not always straightforward.
The first step is not having every answer. It is finding the right place to begin.
Want to understand where your business stands today? Take Riipen’s AI Readiness Self-Assessment to identify your current AI readiness and explore what type of AI-supported project could make sense for your organization.
[Take the AI Readiness Self-Assessment]
Moving from AI interest to AI action
Most businesses understand that AI will play an important role in the future of work. The challenge is turning that awareness into practical action.
Riipen’s State of the employer highlights this gap. While 76.2% of employers say AI skills are a priority, 42.4% had not yet considered student projects as part of their AI strategy.
This is what Riipen refers to as the AI Action Gap: the space between knowing AI matters and having a clear, practical way to begin.
For many SMEs, closing this gap does not start with a large technology transformation or a complex AI implementation. It starts with identifying one meaningful opportunity.
- Where could AI help reduce repetitive work?
- Where could it improve an existing process?
- Where could a business test an idea, learn from the results, and decide what to do next?
A first AI project does not need to transform an entire organization. Often, the most valuable first step is a focused experiment that helps a business understand where AI can support its work, where human expertise remains essential, and what opportunities are worth exploring further.
AI adoption starts with confidence, not complexity
One of the biggest misconceptions about AI is that businesses need advanced technical expertise to begin exploring its potential. In reality, many successful AI journeys start with something much simpler: understanding the business challenge first and identifying where AI could provide support.
For an SME, that might mean exploring ways to better understand customer feedback, improve internal processes, streamline repetitive tasks, support marketing efforts, or uncover new opportunities within existing workflows. The goal is not to introduce AI everywhere or chase the latest technology. It is to identify where AI can create meaningful value for the business and help teams work more effectively.
As Amanda Betts, Vice President of Growth at Riipen, shared during a recent discussion on AI adoption:
As Amanda Betts, Vice President of Growth at Riipen, shared during a recent discussion on AI adoption:
For employers looking to explore this topic further, Riipen’s webinar, The AI Action Gap, explores how businesses can move from uncertainty to action by focusing on practical experimentation, human judgment, and real-world applications of AI.
Why starting small can lead to bigger progress
When businesses think about AI, they often picture advanced automation, custom software, or complex technology projects. But for many SMEs, the most valuable first step is much more practical: starting with a focused business challenge, testing an idea, and learning what works before making larger investments.
This is where student-supported projects can create meaningful value. Students bring emerging skills, curiosity, and familiarity with new technologies, while employers bring the business context, customer understanding, and industry expertise needed to identify where AI can make a difference. Together, they create an opportunity to explore AI through real work, build confidence, and better understand where technology can support the business while keeping human judgment at the centre.
The result is more than a project deliverable. It is a clearer understanding of where AI can create value, what opportunities are worth exploring next, and how businesses can move forward with confidence.
Building a human-led approach to AI
The businesses that benefit most from AI will not necessarily be the ones using the most advanced tools. They will be the ones who understand where technology can support their work and where human expertise, experience, and judgment remain essential.
A human-led approach to AI adoption starts with the business challenge, not the technology. It means identifying where AI could create value, setting clear boundaries around how tools and information are used, and keeping people involved throughout the process. AI can help teams explore ideas, improve workflows, and support decision-making, but human judgment remains critical in determining what works, what needs to change, and what should come next.
The most effective way to build confidence with AI is through experimentation. Each project provides new insights into where technology can help, where additional support is needed, and how businesses can continue moving forward.
AI is not about replacing the expertise already inside a business. It is about creating new ways for people, technology, and emerging talent to work together to solve problems and create meaningful progress.
Taking the first step toward AI progress
Every SME is at a different stage of its AI journey. Some businesses are just beginning to explore what AI could mean for their organization, while others have already started experimenting but are unsure how to turn those early efforts into meaningful progress.
The challenge is that there is no one-size-fits-all approach to AI adoption. The right starting point depends on your business, your goals, your processes, and the opportunities where AI can create the most value.
Taking the time to understand your current readiness can help you identify where AI makes sense for your organization, where your team may need additional support, and what types of projects can help you move from curiosity to action.
Riipen’s AI Readiness Self-Assessment helps employers understand their current AI readiness and identify opportunities to explore AI through practical, human-led projects.
[Take the AI Readiness Self-Assessment]
For a deeper look at how SMEs can move from AI uncertainty to action, download Riipen’s white paper, “The AI Action Gap: The Human-in-the-Loop Employer.”
The white paper provides practical guidance on how businesses can approach AI without needing to start with complex technology projects. It explores how smaller experiments, student-supported projects, and a human-led approach can help employers identify where AI can support their work, build confidence, and make more informed decisions about what comes next.
Because successful AI adoption is not about doing everything at once. It is about finding the right opportunity, learning through experience, and creating a path forward that works for your business.
