Every time I present AI to a business owner, the objections are almost always the same three. I know them by heart. And I've understood where they come from.
They don't come from ignorance. They come from concrete experiences with technologies that promised a lot and delivered little. I understand the skepticism. But in 2025 none of these three objections holds up.
"It costs too much"
This was true in 2021. Back then, building an AI integration required specialized developers, expensive infrastructure, months of development.
Today the APIs from OpenAI, Anthropic or Google cost fractions of a cent per request. Building an automation flow with n8n takes days, not months. For a simple automation, the setup cost is in the order of hundreds of euros, not thousands.
I've built automatic reply systems for contact requests for small local businesses with setup costs between 400 and 800 euros. The monthly cost to keep them running is between 20 and 40 euros.
Compare that with the cost of hiring someone part-time to answer the emails.
"It's complicated"
Yes, understanding how a language model works is complicated. You don't have to do that.
You don't have to understand how an engine works to drive. You don't have to understand how TCP/IP works to use the internet. You don't have to understand how AI processes tokens to use a tool that answers emails for you.
What you do have to understand is: what problem do you want to solve? That's your territory, not mine. I take care of the how. You take care of the what you want to achieve.
"It's not for small businesses"
This is the objection I find most interesting, because it's exactly the opposite.
Large companies already have IT departments, HR teams, complex management systems. They often have more trouble integrating new systems because they have more established processes to change, more people to convince, more approvals to get.
A small business with 5 to 15 people has leaner processes. If you spot a repetitive flow and automate it, the impact shows right away.
A client with 8 employees automated the quote-sending process. Before, it took 20 to 30 minutes per quote. Now the system generates a draft in 2 minutes, the owner reviews and approves it in another 5. Saving: 15 to 20 minutes per quote, across 10 to 15 quotes a week. That's 2 to 3 hours a week recovered.
The real risk is not using it
Your competitors are weighing up the same things. Some companies, local ones too, are already using these tools. Not because they're smarter or more tech-savvy, but because someone asked the right questions.
I'm not saying you have to automate everything tomorrow. I'm saying that ignoring these tools for the next 2 to 3 years has a cost. That cost doesn't arrive all at once: it arrives gradually, in the form of lost time and missed opportunities.
If you want to find out whether there's something concrete for your situation, write to me. A 30-minute call is enough to see whether it makes sense to move forward.