Automate Your Business with AI: Where to Start
# Automate Your Business with AI: Where to Start
If you've heard AI pitched as the solution to every business problem, you've sat through too many sales presentations. AI works, but not magically. It works well on repetitive, well-defined processes that someone already executes manually every day. It works poorly on everything else.
The most common problem I see in small businesses isn't technology. It's trying to automate something you don't yet understand. You grab a tool, expect it to fix the chaos, then get surprised when the chaos remains—just more expensive.
So, before even talking about tools: you need to know exactly what to automate and why.
The Mistake to Avoid First
The process you want to automate—can you describe it step by step? Who does it now? How many times a day? How long does it take?
If you can't answer these questions, you're not ready to automate it. AI doesn't fix a confused process; it executes it confusedly faster. That's much worse.
Grab a pen and paper—or an Excel sheet, that's fine too—and map the process as it exists today. Only then does it make sense to ask if and how an AI tool can help.
Three Processes That Automate Well Now
1. Managing Customer Requests
Email, contact forms, WhatsApp messages, or chat: every week you get the same questions. Pricing, timelines, availability, procedures. A web agency, a craftsperson, a professional practice—everyone receives similar requests that need similar answers.
AI works well here because the context is limited. You're not asking the machine to understand your entire business: you're training a system on a limited set of questions and answers.
How to do it in practice. You can use a GPT-4o-based chatbot via Make or n8n, connected to a document with your FAQs. The chatbot answers standard questions, and everything it can't handle reaches you via email or notification. Operating costs with Make run between €9 and €29 per month depending on volume. OpenAI costs roughly €0.01-€0.03 per average interaction. Under 100 contacts per month, total spending stays under €30.
It's not perfect. You'll need to update FAQs periodically, and there will always be some unusual requests the bot handles poorly. But for first-level questions, it works.
2. Internal Reports and Data Collection
Every week someone in your company spends an hour copying numbers from one place to another: from Google Analytics to a sheet, from accounting software to a presentation, from a CRM to an email to the owner. This is work to automate.
You do this with integration tools like Make or Zapier, which read data from one source, process it with an AI model if needed (to summarize, classify, comment), and write it to another.
Concrete example. An online store wants an automated weekly report: total sales, best-selling products, pending orders, comparison with the previous week. Zapier reads data from Shopify, passes it all to GPT-4o which generates a natural-language summary, and sends the email every Monday morning at 8 AM. Cost: Zapier starts at €20 per month, plus OpenAI tokens—very few, because there's limited data to summarize.
Zapier is simpler to set up; Make is more powerful and flexible. For complex scenarios with multiple steps, Make is the right choice. For linear operations, Zapier is faster to deploy.
3. Producing Repetitive Content
We're not talking about long-form or strategic articles—those still need a skilled human touch. We're talking about templated text: product descriptions, social updates for periodic promotions, personalized transactional emails, fact sheets.
If you have an e-commerce with 200 products and each needs an 80-word description, writing it all by hand is slow. If you publish the same type of promotional post weekly with only different numbers or dates, it makes sense to automate.
How to do it. An Excel or Google Sheet with product data (name, features, price, category) connected to a Make automation that passes each row to a structured GPT prompt and generates the text. The same system can then upload it directly to your CMS via API if available. Setup time is 2-4 hours for someone with minimal Make experience. The time savings, across 200 products, can be days.
The risk here is taking AI output as final without reading it. Generated texts are often generic. They need to be read, trimmed, corrected. AI cuts down first-draft time, but quality control remains human.
What It Really Costs
Most small businesses can automate these three processes with monthly spending between €30 and €80: Make or Zapier for automations, OpenAI for intelligence, and any connectors you need for your CRM or e-commerce. Initial setup takes 4-12 hours depending on complexity.
There are also free options to start with. Make has a free plan with 1,000 operations per month. n8n is open source and can be hosted on your own server. If you want to experiment before spending, you have room to do so.
Where to Really Start
Pick one process. The one that wastes the most time each week, that's already repetitive enough to be described in a list of steps. Document it. Then find the simplest tool that lets you automate it, even partially.
Don't buy enterprise platforms. Don't build complex systems on your first try. The typical mistake is trying to automate everything at once with a big budget and unrealistic expectations. Reality is that automating even 30% of a repetitive process meaningfully changes your work week.