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Why we build our own AI

At the moment, everyone is sticking the word AI on their website, and the most honest test is always the same question: what difference does it make to you? If a supplier tells you they are now using artificial intelligence and you notice no difference in your day-to-day dealings with them, then it was not an investment; it was a press release. So I am not even going to try to explain what this technology can do in general. I am going to tell you what you get out of it – and where we deliberately do not allow it to make decisions.

Let’s start with the obvious point, although most companies do it differently: we have not simply taken out a subscription somewhere and put our logo on it. Our systems run on our own computers, using our own data. That is more expensive and takes longer, and there is exactly one reason for doing it – but it is reason enough: your order history, your projects and your terms are nobody else’s business. Anyone who pours that data into somebody else’s service just to make the answers sound nicer is trading their customers’ business secrets for convenience. Your trust is worth too much to me for that kind of trade-off.

What you notice as a result is unspectacular, and that is precisely why it is valuable. The colleague responsible for your area has your history to hand when you call, instead of having to piece it together by asking three different people. Questions that used to be answered with »I’ll check and get back to you tomorrow« can now be answered during the same conversation. And if a manufacturer pushes back a delivery date, we do not find out when the goods fail to arrive; we know when the change happens – which, in turn, can save the week in which you need to make a commitment to your end customer.

The commercial principle behind all this comes down to a sentence I have written many times before: in this business, it is rarely price that makes the difference; it is almost always time. A project involving forty devices where two queries each cost you a day is not simply two days slower. It is lost if someone else has submitted their quotation in the meantime. Every hour between your question and a reliable answer is not a minor service detail; it affects your success rate.

And now for the part hardly anyone writes about in this context: this technology makes things up. It does not do so only occasionally, nor is it obvious when it happens. It does it confidently, in complete sentences and with a level of certainty that no human being in the same situation would ever display. Anyone who fails to take that into account is automating their mistakes rather than their work. That is why, at Jarltech, no machine decides on a price, makes a commitment on availability or sets a credit limit. It prepares, sorts and reminds. A human being makes the decision – and specifically one you can call and who takes responsibility for it.

The fact that we can build it this way has little to do with technology and a great deal to do with ownership. An investment that will not pay for itself for at least three years does not have to be justified here to a committee whose performance is measured by the quarter. It is the same decision we made with our own software back in 1988: more expensive at the beginning, independent in the long run. Back then, I had no idea just how much that decision would pay off, and today I still do not know which parts of what we are building now will prove to be the right ones five years from now.

What I do know is this: if you ever get the impression that you are talking to a machine rather than a person when you deal with us, then we have got it wrong – and I want you to tell me. The technology should make more time for conversation, not make conversation unnecessary.

Remember: »A machine that tells you something wrong more quickly is not progress. Progress is when a human being knows the right answer more quickly.«
 

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