2026-03-09
Before you invest in any AI tool or agent, answer these five questions. They'll save you time, money, and a lot of frustration.
Most small businesses approach AI backwards. They pick a tool first — ChatGPT, an AI writing assistant, a chatbot — and then try to figure out where it fits. The result is usually a half-used subscription and a team that’s skeptical of the next wave of “AI will change everything.”
Before you spend a dollar on AI tooling, answer these five questions.
Not “we want to be more efficient.” Not “AI could probably help with marketing.” A specific task: writing weekly sales reports, answering the same five customer questions over and over, pulling data out of PDFs into a spreadsheet.
The best AI implementations solve one well-defined problem. The worst try to boil the ocean.
What to do: Ask your team to track their time for one week. Find the task that shows up most. That’s your first AI candidate.
AI is most powerful when it has context — your products, your voice, your SOPs, your customer history. If you’re starting from a blank page, the outputs will be generic.
This doesn’t mean you need a massive data infrastructure. But you do need something: a product catalog, a list of FAQs, past email examples, your existing documentation.
What to do: Inventory what written material you already have. Most SMBs have more than they think.
AI workflows break. Prompts drift. Models update. Integrations fail. If no one on your team is responsible for maintaining the system, it will slowly stop working and no one will notice until it’s a problem.
This doesn’t have to be a dedicated role — but someone needs to own it.
What to do: Name one person who will be the “AI owner” for the first workflow you build.
These are different problems with different risks. Replacing a task (e.g., auto-responding to support emails) requires high accuracy and clear escalation paths. Augmenting a task (e.g., drafting an email for a human to review) has much more tolerance for imperfection.
Start with augmentation. Let AI help humans do things faster, rather than trying to remove humans from the loop entirely on day one.
What to do: For your first use case, design the AI to hand off to a human, not replace one.
If you cannot define success, you cannot measure it — and you will not know if the implementation is working.
Good metrics are concrete: response time cut in half, 3 hours per week saved per rep, 20% more content published per month. Bad metrics: “team is using AI more,” “we feel more efficient.”
What to do: Write down one metric you will track and a target you want to hit by day 90.
AI is not a strategy. It is a tool. Like any tool, it works well when you know what you’re trying to fix and badly when you’re just hoping it helps.
If you can answer all five questions clearly, you’re ready to start. If you’re struggling with a few of them, that’s okay — that’s exactly what a readiness review is for.
Book a free 30-minute review and we will walk through these questions together, identify your best first use case, and give you a concrete plan — no commitment required.
Book a free AI review and we'll map out exactly where to start.
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