Which AI software is suitable for small businesses?
The AI software that suits a small business sits inside the work you already do: the mailbox, the phone, the accounts. There are three kinds: AI already built into your existing packages, standalone AI tools for text and images and custom software that takes over one recurring process. Below: when each fits, what you should and should not do with free tools and which rules apply to a small business too.
AI audit and AI training → Process automation: what I build → Which AI rules apply to you? Take the quickscan →Which AI software is suitable for small businesses?
For a small business, AI software is suitable when it sits inside the work you already do and when someone can maintain it. Three kinds: AI already built into your existing packages, standalone AI tools for text and images and custom software that takes over one recurring process. You often already have the first kind: your accounting package recognises invoices, your mail client summarises messages, your CRM suggests a follow-up email. Switch those on before you buy anything. The second kind is handy for one-off jobs but does not change your process; nobody opens a separate tab when the work happens elsewhere. The third kind is the only one that saves time structurally: an automation that reads invoices, a receptionist that answers the phone, an assistant that answers questions from your own documents. That is custom work and it starts small, with one process.
Should I try free AI tools for text and marketing first?
Yes, with a limit. The well-known chat assistants, such as ChatGPT, Microsoft Copilot, Google Gemini and Claude, have free versions that let you learn what AI can do with text. Do not put customer data, contracts or staff information in them and do not rely on a free tool for work that has to happen every day. The question which tool is best for text generation or marketing copy has no fixed answer; they are close together and keep overtaking each other. What does matter is what you put in. A tool that does not know your company, your tone and your customers writes generic text. So work with a fixed instruction and a few examples of your own. And with a free trial always read the terms: where is your data processed and is it used to train the model? For a test with fictional text that does not matter. For a customer email it does.
How can I use AI for marketing automation?
Use AI for the part where text has to be read or written and ordinary automation for the rest. For example: an incoming enquiry is read and categorised, the follow-up email is drafted in your own tone and the lead lands in your CRM with the right status. The mistake I often see is using AI for the whole process. Then you no longer know what happened. A chain in a tool like n8n does the predictable steps: fetch, pass on, record, remind. The language model only does what a person would otherwise read or write. Anything the model does not recognise with certainty goes to an employee instead of the system guessing. Start with one flow, for example the enquiries through your website, measure how much time it costs now and only then build.
Which recurring chore costs your team the most time right now? Describe your bottleneck →
When does custom software pay off for a small business?
Custom software pays off when a process happens often, has little variation, a mistake has limited consequences, the data is already tidy and the people doing it now want it. If building costs less than what the process costs per year, you have your first project. Twice a day is nothing, two hundred times a day is a business case. At Equote two people pulled prices and specifications out of hundreds of emails by hand; that now happens automatically and they only look at the exceptions. A small tool or integration starts around €2,000 and a first automation is usually live within two to three weeks. Keep it small enough to have something working within six weeks; a modest success delivers more than a big plan that stalls halfway.
Which rules apply to a small business using AI?
The same as for a large company: the GDPR for personal data, with a data processing agreement for every AI service that sees it, and the AI Act. Since February 2025 the AI Act requires that employees know enough about AI and since 2 August 2026 that people are told they are talking to AI. For most small businesses that is manageable: you use no high-risk systems and the obligations come down to ordinary care. Record which tools your team may use and what must not go into them. Make sure a chatbot or voice agent announces itself as AI. And check per tool where the data is processed. The quickscan on this site tells you in ten questions which rules apply in your case.
Where do you start with AI as a small business?
Start with the process that happens most often and is the least exciting, not with the idea that has the best demo. An AI audit or the free quickscan gives you that ranking; then you build one thing that is live within six weeks. Every audit surfaces the same pattern: twenty ideas, no ranking. I score each process on five questions and the highest total wins. Then name one person who maintains it, half an hour a week. If you cannot name that person, it is not the right moment yet. If you do start, you know after six weeks whether it works, and that is more than most AI plans deliver.
The short version
First switch on what is already in your packages. Use free tools to learn, not for customer data. Automate one process that happens often and has little variation, with AI only for the reading and writing. GDPR and the AI Act apply to you too; the quickscan tells you exactly what.
Which recurring chore costs your team the most time right now?
Describe your bottleneck →