AI
AI Adoption
Every week, a business owner tells me some version of the same thing: “I know we should be doing something with AI. I just have no idea where to start.” If that is you, good news. You are not behind, and you do not need a data scientist. AI adoption for small business is less about technology and more about picking the right first step, then taking it.
Think of it like getting in shape. You don’t start by signing up for a marathon. You start by walking around the block. This article is your walk around the block.
Why most small businesses start in the wrong place
The most common mistake I see is starting with the tool. Someone reads about a shiny new AI app, buys a few licences, sends a “go try this” email, and three weeks later nobody is using it.
The tool is not the problem. The problem is that nobody decided what it was for.
The businesses that get real value from AI start with a much more boring question: “What eats up our time every week?” Once you know that, picking a tool gets easy.
What AI adoption for small business actually looks like
Forget the robots-taking-over headlines. For a team of 10 to 200 people, AI adoption usually looks like this:
Writing help. First drafts of emails, proposals, job posts, and social posts in minutes instead of an hour.
Summaries. Long documents, meeting recordings, and email threads boiled down to the five things that matter.
Answers from your own stuff. Asking a question and getting an answer from your own policies, price lists, or past projects.
Automations. Repetitive hand-offs between tools (form to CRM, invoice to accounting, request to task) that happen on their own.
Notice that none of these replace a person. They give people back the hours they spend on the parts of the job nobody enjoys.
Step 1: Find your “ugh” tasks
Grab your team for 20 minutes and ask one question: “What task makes you go ‘ugh’ every week?”
You will get answers fast. Some examples I hear a lot:
Retyping the same information into two different systems
Writing the weekly update nobody reads closely
Answering the same customer questions over and over
Chasing people for approvals
Write them all down. Next to each one, add a rough guess of how many hours a week it takes. Congratulations, you now have an AI roadmap. The tasks with the most hours and the least judgment needed are your best starting points.
Step 2: Give your team a safe place to try AI
People are already using AI at work, whether you know it or not. Usually it’s a personal account on a free tool, with company information pasted right in. That is the part that should keep you up at night, not the AI itself.
The fix is simple: pick one approved AI assistant and give everyone access to the business version. ChatGPT, Claude, Microsoft Copilot, and Google Gemini all offer business plans. Before you choose, check two things in the vendor’s terms: whether your data is used to train their models, and where it is stored. If you want a deeper comparison, I wrote a guide on how to choose AI tools for your team.
One approved tool beats five unofficial ones every time.
Step 3: Run one small pilot
Pick one “ugh” task from your list and one person or small team who is curious about AI. Give them two to four weeks to see if AI can make that task faster or easier.
For example: a 15-person accounting firm might pilot AI for drafting client follow-up emails after tax meetings. A distribution company might try it for summarizing supplier emails into a daily digest. Small, specific, and easy to measure.
The goal of a pilot is not perfection. It’s learning what works in your business, with your people, on your real work.
Step 4: Write down the house rules
Before AI spreads across the company, put a one-page set of rules in place. Keep it short enough that people will actually read it. Cover three things:
What never goes into an AI tool. Client personal information, passwords, financial account details, anything covered by an NDA.
Which tools are approved. Name them.
Who checks the output. AI drafts, a human reviews. Always, for anything a client or customer will see.
If you’re in Quebec, keep Law 25 in mind when personal information is involved. When in doubt, leave it out.
Step 5: Measure, then decide what’s next
At the end of your pilot, ask three questions:
Did it save time? Roughly how much?
Was the quality as good or better?
Did the team actually like using it?
If the answer is yes, share the win, write down how it was done, and roll it out to the next team. If not, pick the next task on your list and try again. No harm done.
Once your team is comfortable using AI for writing and summaries, the next step is usually automation, where the work moves between your tools without anyone touching it. That’s when the time savings really start to stack up. I cover where to begin in AI automations: what to automate first.
Three things you can try this week
Hold the 20-minute “ugh” meeting. Write down every repetitive task your team mentions.
Try one task yourself. Paste a long email thread (with no sensitive details) into an approved AI assistant and ask for a three-bullet summary. See how it does. My guide on writing AI prompts that actually work will help.
Ask your team what they already use. You might be surprised. It’s the fastest way to see where AI is already showing up in your business.
Frequently asked questions
How much does it cost to start using AI in a small business?
Less than most people expect. Business plans for the major AI assistants are typically priced per user per month, so you can start with a few seats for your pilot team. Check current pricing on each vendor’s site, since it changes often.
Do I need technical staff to adopt AI?
No. Most first steps, like drafting, summarizing, and answering questions, need no technical skills at all. You’ll want help later when you connect tools and automate workflows.
Is it safe to use AI with company information?
It can be, if you use business plans with clear data terms and set simple rules about what never goes into AI. The bigger risk is staff using personal free accounts with no oversight.
How long does AI adoption for small business usually take?
A first pilot takes two to four weeks. Building AI into how the whole company works is a gradual process over months, one team and one task at a time.
Ready to take the first step?
If you’d like a hand finding your best starting points, I help small and medium businesses do exactly this. We’ll look at your team’s “ugh” tasks together and map out a practical first pilot. Book a conversation with me here.
