I've seen enough small businesses dip a toe into AI to notice a pattern. The ones that get value ask themselves five questions first. The ones that waste money and time skip straight to the tools.
The Five Questions
1. What task do I hate doing every week? — Start with friction. The thing you dread is probably the thing AI can help with most, because dread usually means repetitive, predictable, and well-defined.
2. Who in my team has the most repetitive work? — Your best people shouldn't be spending their best hours on tasks that follow a pattern. Identify the pattern and automate it.
3. What's one thing we're slow at that competitors are fast at? — Speed gaps are usually process gaps. AI excels at compressing the time between input and output on predictable workflows.
4. What would I do with an extra five hours a week? — This isn't a hypothetical. If AI saves you five hours, you need to know where that time goes. Otherwise you'll just fill it with more busywork.
5. Am I willing to be bad at this for a week while I learn?
That last one matters more than the rest. The businesses that benefit from AI are the ones that tolerate being a beginner long enough to get competent.
Why These Questions Work
They force you to be honest about your operations before you look for technology solutions. They ground your AI exploration in real business problems rather than hype-driven experimentation. And they set realistic expectations — AI is a tool that requires learning, not a magic wand that works on day one.
Answer these five questions honestly, and you'll know exactly where to start.