AI implementation in your business works best in small, clear steps: choose a goal, find one process that eats up a lot of time, test a solution on a small scale, measure the result and only then expand. That way you avoid spending money on a tool nobody uses.
This step-by-step plan is for small and medium-sized businesses that want to go beyond the odd experiment with ChatGPT. If you first want to know what AI actually is and where it fits, read AI for small businesses. Here we start from the question: how do you actually go about it?
Step 1: decide why you want to use AI
'We need to do something with AI' isn't a goal. Start with a problem you already have. For example: we respond to enquiries too late, admin takes a day every week, or staff spend too long looking for information. Make the goal as concrete as possible, such as 'quotes sent within 24 hours' or 'half the time spent on purchase invoices'.
A clear goal also helps with measuring later. Without one, three months on you won't know whether it worked.
Step 2: map your processes and time drains
Walk through an ordinary working week with your team. Where does the time go? Pay particular attention to work that:
- comes up often and goes roughly the same way every time;
- consists of reading, retyping, summarising or sorting;
- causes lots of small mistakes through haste or boredom;
- keeps getting left because nobody has time for it.
Typical candidates are sorting emails, processing invoices, drafting quotes, answering customer questions and creating reports. For each task, write down how much time it takes now. An estimate is enough.
Step 3: choose your first AI project
Put your list in order. A good first project scores high on time saved and low on risk. Ask yourself these questions for each task:
- How much time does it save if it works?
- What happens if the AI makes a mistake? Can a person easily spot and fix it?
- Is the data you need available and in reasonable shape?
- Does it involve sensitive personal data?
- Is there someone on your team who wants to own it?
For your first project, prefer something internal and manageable, such as processing invoices automatically, over a chatbot that talks to all your customers right away. Success in a small project builds confidence for the next one.
Step 4: check your data, privacy and the rules
Before you build or buy a tool, look at the data. Where is it, is it accurate, and may you use it for this purpose? AI with messy data gives messy results. So sometimes cleaning up customer data is the real first step.
Also keep the GDPR (AVG in Dutch) and the EU AI Act in mind. Choose suppliers who are clear about where your data is stored and whether it's used for training. The AI Act also requires staff who work with AI to know enough about what they're using; this is called AI literacy. Read more in the EU AI Act for small businesses. We don't give legal advice. For the details, ask a lawyer or the Dutch Data Protection Authority (Autoriteit Persoonsgegevens).
Step 5: start a small AI pilot
A pilot is a small-scale trial with a clear start and end. Here's how to set one up:
- Choose a fixed period, for example four to six weeks.
- Involve a small group of people who are keen.
- Have a person check all outputs, especially at the start.
- Record what goes well and what goes wrong, with examples.
- Agree in advance when the pilot counts as a success, for example 'at least a third less time and no extra mistakes'.
You can often run a pilot with a standard tool or an integration tool. Custom work is only needed when standard options don't fit your systems or way of working. Think of an integration tool like Zapier, Make or n8n, or the AI features already built into your current software. They're often quicker and cheaper to test with.
Step 6: measure the result and bring your team along
After the pilot, compare the numbers with where you started. How much time does the task take now? Are there more or fewer mistakes? What do the people using it think? Be honest. If it's disappointing, that's a result too. You've learned cheaply what doesn't work.
AI implementation in your business is largely about people. Staff sometimes fear their work will disappear, or they don't trust the results. Explain the goal, let them contribute and give them time to learn. Also agree together what is and isn't allowed, in a short AI policy. Set out which tools you use, which data must never go into them and that a person always checks the output.
Step 7: scale up and maintain
If the pilot works, expand step by step: more people, more types of documents or questions, or an integration with your other systems. Then pick the next process from your list in step 3. Don't forget maintenance. AI models, tools and prices change. So schedule a short check every six months: does it still work as intended, and are the settings still right?
Want to know whether expanding pays off? Do a simple sum: time saved per week times your hourly rate times the number of working weeks. Set the costs of building, licences and maintenance against that. If the gain after a year is clearly bigger, it's a good investment. Borderline cases are better left for now.
AI implementation with help from Violexa
We help businesses across the Netherlands, from Amsterdam, with AI & automation. We follow the same order as above: first the goal and the process, then a small solution we test together, then we expand. A project starts from €1,799 excl. VAT (€2,177 incl. VAT), one-off. For larger projects you get a fixed price in writing upfront, so there are no surprises.
Not sure where to start yet? Book a free quickscan. In 30 minutes, online or on site, we go through your processes and identify the most logical first project. Afterwards you get short written advice with a price estimate, with no obligation.
Frequently asked questions
How do you start implementing AI in your business?
Start with a concrete problem, not a tool. Find one task that comes up often and takes a lot of time, test a solution for it on a small scale and measure the result. Only expand once it works.
How long does an AI implementation take?
A first pilot can often be running within a few weeks. Expanding to more processes or people takes longer and happens step by step. The bigger and more complex your systems, the more time the integrations take.
What is AI literacy?
AI literacy means that people who work with AI know enough to use it sensibly: what it can do, where it goes wrong and what to watch out for. The EU AI Act requires businesses that use AI to pay attention to this.
Does a small business need an AI policy?
A short policy is wise, even for a small team. Agree which tools you use, which data must not go into them and that outputs are checked. A single page is often enough.
