Everyone is talking about AI. Few explain what to do with it.
You can't open LinkedIn without seeing yet another post about the "AI revolution." Everyone is talking about how AI will change the world, how businesses that don't adopt AI will be left behind, and how you need to implement artificial intelligence by tomorrow.
And then a small business owner sits down and asks themselves: "Okay, but what exactly am I supposed to do with it?"
This question is much more important than it seems. Because most of what is sold today as "AI for business" is either irrelevant to a small business or things that can be done without AI at all.
First of all: What does AI really mean in a business context?
Let’s be practical. When we talk about AI for businesses, we are usually talking about one of two things:
AI tools for daily work. ChatGPT for content creation, design tools for image generation, transcription tools for meetings. Things you use directly, just like any other software.
AI within automations. This is where it starts to get interesting. Instead of a WhatsApp bot working according to a fixed script, AI allows it to understand what the customer is asking and provide a tailored response. Instead of you manually classifying inquiries, AI classifies them on its own. Instead of you writing every response from scratch, AI drafts a reply that you only need to approve.
The first type is useful, but it has nothing to do with automation. It’s simply tools that have become part of our lives. The second type is what truly changes the way the business works.
Where AI truly makes a difference in automations
I built a WhatsApp bot for an Israeli company that sells online. The bot receives messages from customers, understands what they are asking, and provides an answer. Not from a menu of options. The customer writes in free text, and the bot understands.
"Hey, I ordered a week ago and haven't received anything yet" is not "Press 1 for order status." The bot identifies that this is a question about shipping, accesses the shipping system, checks, and returns with an answer.
"Do you have this bracelet in silver?" The bot understands it's an inventory question, searches the store, and returns an answer with a link.
Without AI, this bot would only work with buttons and menus. With AI, it conducts a conversation.
And a few more places where it works
Automatic inquiry classification. An inquiry comes in, AI reads it and decides: this is a complaint, this is a question about a product, this is a refund request. The inquiry is routed to the right person or the right process, without anyone having to sit and read every message.
Drafting responses. A support agent receives an inquiry, and instead of writing a response from scratch, AI drafts a template based on similar past inquiries. The agent checks it, edits if necessary, and sends it. It saves minutes on every inquiry.
Text and data analysis. Do you have hundreds of inquiries a month? AI can go through them and tell you what the recurring topics are, what the most common issues are, and where there is an upward trend. Insights that would take days manually.
What you don't need AI for (even if they try to sell it to you)
Here are things I hear all the time that usually don't need AI:
"I need AI to manage my leads." No. You need an organized table and connections between your systems. If your leads are slipping through the cracks, the problem isn't a lack of artificial intelligence. The problem is a lack of organization. Simple automation solves that. If this sounds familiar, the blog on lead management is relevant.
"I need AI to send reminders." No. An automatic reminder is a simple process that runs on a schedule. There is nothing here that requires artificial intelligence.
"I need AI to create automatic invoices." Also no. An invoice is created from clear data: name, amount, date. It's a simple connection between systems, not something that requires "understanding."
The rule is simple: if the process works according to clear rules (if A happens, do B), you don't need AI. You need regular automation. AI comes in when you need to understand free text, make a decision that isn't pre-defined, or process unstructured information.
How much does it cost and when is it worth it?
Regular automation without AI costs a few thousand and provides a quick return on investment. Automation with AI costs more because it requires more setup, training, and testing.
AI is worth the investment when there is volume. If you have five inquiries a day, you can read and classify them yourself. If you have fifty, AI saves hours.
AI is worth it when there is free text. If your customers write in natural language and don't choose from a menu, AI can understand them. Regular automation cannot.
If you aren't sure if you're at the stage where AI is relevant, you probably aren't there yet. Start with basic automations and see if there is a need for something smarter.
You don't need all the buzz. You need what works.
AI is a tool. A good, powerful tool that can do amazing things. But it's not a magic solution. It doesn't replace thinking, it doesn't replace processes, and it doesn't replace the decision of what really needs to be automated in your business.
First organization, then intelligence. First basic automations that get the job done, and then, when needed, add a layer of AI where it truly makes a difference.
Want to know if AI is relevant to your business, or if regular automation is enough? A short 15-minute call, no strings attached, and I'll tell you exactly what is worth doing and what is overkill at this stage.
