Automate Your Business Processes with AI: Where to Start

# Automate Your Business Processes with AI: Where to Start

If you've heard AI described as a solution to all business problems, you've heard too many sales pitches. 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 fully understand yet. You grab a tool, expect it to fix the chaos, then wonder why the chaos remains—just more expensive.

So before we even talk 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 paper and pen — or an Excel sheet, that's fine too — and map the process as it exists today. Only then does it make sense to ask whether and how an AI tool can help.

Three processes that automate well right now

1. Customer Request Management

Emails, contact forms, WhatsApp messages or chat: every week you get the same questions. Prices, timelines, availability, procedures. A web agency, a craftsperson, a professional office — everyone receives similar requests that require 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 chatbot via Make or n8n, connected to a document with your FAQs. The chatbot answers standard questions, and anything it can't handle reaches you via email or notification. The operating cost with Make ranges between €9 and €29 per month depending on volume. OpenAI costs about €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 the company spends an hour copying numbers from one place to another: from Google Analytics to a sheet, from your management system 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 everything 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 the data to summarize is limited.

Zapier is simpler to configure, Make is more powerful and flexible. If you have complex scenarios with multiple steps, Make is the right choice. If you have a linear operation, Zapier is faster to set up.

3. Repetitive Content Production

We're not talking about feature articles or strategic content — those still require a skilled human touch. We're talking about text that follows a template: product descriptions, social media updates for periodic promotions, personalized transactional emails, information sheets.

If you have an e-commerce with 200 products and each sheet needs an 80-word description, writing everything by hand is slow. If you publish the same type of promotional post every week with only different numbers or dates, it makes sense to automate there too.

How to do it. An Excel file 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 savings, on 200 products, can be days.

The risk here is treating AI output as final without reading it. Generated texts are often generic. You need to read them, trim them, correct them. AI cuts down first-draft time, but quality control remains human.

What it really costs

Most small businesses can automate these three processes with a monthly spend between €30 and €80: Make or Zapier for automations, OpenAI for intelligence, possible connectors for your CRM or e-commerce. Initial setup takes 4-12 hours depending on complexity.

There are also free options to start. 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

Choose one process. The one that wastes the most time every week, that's already repetitive enough to be described as 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 the first try. The typical mistake is wanting to automate everything at once with a high budget and unrealistic expectations. The reality is that even automating 30% of a repetitive process changes your work week concretely.