Small and Medium Business AI Readiness Self-Assessment Quiz
This 10-question quiz will help you (as a small or midsize business owner with $5–50M in revenue) evaluate your current state of AI readiness. It’s part of Week 1 of our AI Training Course, designed to be helpful, candid, and accessible. Answer each question by choosing the option that best describes your business. Be honest with yourself – there are no wrong answers. The goal is to understand where you stand and how to move forward.
Data Collection Practices: What best describes how your business collects and manages data?
A. We hardly collect or organize data digitally. (Most information is on paper or not tracked in any system.)
B. We collect some data, but it’s scattered (for example, in separate spreadsheets or basic software) and not very organized.
C. We have a central place for key business data (like a database or a dedicated software system) and we occasionally analyze this information.
D. We extensively collect and centralize data across the business and regularly analyze it for insights.
Use of Automation and AI Tools: How are you using automation or AI in your operations currently?
A. We are not using any automation or AI tools yet – almost everything is done manually.
B. We use a few basic automation tools (e.g., simple software features or templates to save time), but no AI-specific tools.
C. We’ve implemented at least one or two tools that use AI or advanced automation (for example, a chatbot for customer service, or software with some AI-driven features).
D. We use multiple automation and AI-driven solutions across different parts of our business.
Repetitive Tasks and Manual Work: How much time do your employees spend on repetitive, manual tasks (like data entry, routine paperwork, or answering the same customer questions)?
A. A large portion of our team’s time is spent on repetitive manual work – it’s a significant part of the day.
B. Quite a bit of time is still spent on manual tasks. We’ve automated a few things, but many processes are still done by hand.
C. We have automated some of our repetitive tasks, so there’s only a moderate amount of manual work left.
D. Very little time is spent on repetitive tasks – we’ve automated most routine processes, freeing up our team for more important work.
Comfort with New Technology: How does your team feel about adopting new technologies and tools?
A. We’re generally uncomfortable with new tech. We stick to what we know and only make changes when we absolutely have to.
B. We’re cautious about new tech. We might adopt something new after we see it working well for others, but we don’t jump in quickly.
C. We’re fairly open to new tech. If we see a clear benefit, we’re willing to give it a try and learn as we go.
D. We’re very enthusiastic about new tech. We often try out new tools and like being early adopters when possible.
Openness to Change and Innovation: How would you describe your company’s culture when it comes to change and innovation?
A. We prefer stability and routine. Changes are rare and often met with resistance (basically, “if it isn’t broken, don’t fix it” is our mantra).
B. We know change can be necessary, but we tend to hold onto traditional methods unless there’s a very good reason to change.
C. We’re somewhat open to change. When a new idea or process shows clear advantages, we’re willing to adapt and try it out.
D. We embrace change and innovation. Our team is always looking for better ways to do things, and we’re not afraid to overhaul old processes.
Strategic Alignment: Is adopting new technology (like AI) part of your business’s strategic goals or plans?
A. Not at all. Our business plans and strategy do not really include technology improvements or AI – we focus on our day-to-day operations with the methods we’ve always used.
B. It’s on our radar but not a big focus. We might mention upgrading technology in our plans, but we don’t have any specific AI projects or goals yet.
C. Yes, to some extent. We have plans to improve operations with new technologies, and we’re considering how AI could play a role in achieving some of our business goals.
D. Absolutely. We have a clear strategy that includes investing in technology and even exploring AI initiatives as a key part of our future growth.
Budget and Resources for Innovation: How does your business budget for new technology or innovative projects?
A. We don’t have a dedicated budget for innovation or new tech. We only invest in technology if it’s absolutely necessary to fix a problem.
B. We set aside a small budget for tech improvements, or we handle it case by case. Big innovations are hard to fund, but we do minor upgrades when we can.
C. We allocate a reasonable budget or resources each year for trying out new tools and technology improvements. We’re willing to fund pilot projects if they show promise.
D. We actively invest in innovation. We have a significant budget (and/or staff time) dedicated to new technology and AI projects, and leadership supports funding ideas that could give us an edge.
Identifying Pain Points for AI Solutions: Have you identified key challenges or pain points in your business that AI might help solve?
A. Not yet. We haven’t specifically thought about where AI could help us, and we’re not sure what problems it could solve in our business.
B. We have a couple of challenges (for example, some inefficient processes or high manual workload), but we haven’t explored AI solutions for them.
C. Yes, we have some clear pain points (e.g., repetitive tasks, slow data analysis, handling customer inquiries) and we’re starting to look into whether AI tools could help with those.
D. Definitely. We’ve identified specific areas where AI could make a big difference, and we even have particular AI use cases or pilot projects in mind to address these needs.
Team’s Tech Skills and Knowledge: What is the level of technology or data expertise within your team (or accessible to your team)?
A. We have very limited tech expertise in-house. No one on our team is familiar with AI or advanced data analysis, and we haven’t done any training in these areas.
B. We have some basic IT know-how in the team and maybe a tech-savvy employee or an external IT support person, but no specific experience with AI or data analytics.
C. We have at least one person (or a go-to consultant) who understands data analysis or has some experience with AI tools. We’re open to seeking outside help or training when needed.
D. We have strong expertise available. We either have team members with solid skills in data analysis/AI, or we can easily bring in experts. In fact, we might have provided AI training to staff or hired talent specifically to help drive AI projects.
Data-Driven Decision Making: How do you use data when making decisions in your company?
A. We mostly rely on gut feeling and personal experience. We rarely use data or formal reports to drive our decisions.
B. We look at basic reports or metrics occasionally, but many decisions are still made the way we’ve always done them, without deep data analysis.
C. We regularly use data and reports to inform our decisions. We analyze past performance and trends when planning, though we may not use very advanced analytics yet.
D. We are highly data-driven. Most major decisions are backed by data analysis or insights, and we even use predictive tools or forecasts to guide our strategy.
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