Šest grešaka pri uvođenju AI automatizacije u SMB
Šest grešaka pri uvođenju AI automatizacije u SMB Poslednjih nekoliko godina gledam isti obrazac. Firma od dvadeset ljudi kupi licencu, neko napravi impresivan demo, svi klimnu glavom, i tri meseca kasnije niko ne zna da kaže da li je išta uštedeno. Tehnologija je ređe problem nego što se misli. Greške se gotovo uvek prave pre prve linije koda. 1. Počinje se od alata, a ne od procesa koji boli…
Six mistakes in AI automation implementation for SMBs
In recent years, the same pattern has emerged. A small company, perhaps with twenty employees, purchases a license, someone creates an impressive demo, and then three months later no one knows whether anything was saved. The technology is more of a problem than people realize. Almost all mistakes occur before the first line of code.
1. The journey begins with tools, not the processes that cause pain. The most common mistake is to implement AI without answering the question of which specific task it will automate, how long it will take, and who will perform the task. An AI without this answer becomes a toy for enthusiasts, and the rest of the team ignores it.
To choose a model or platform, I create a simple table with five columns filled out by someone who actually does the job, not the director. The process includes frequency, time taken, who performs it, and what happens when an error occurs. Breaking down incoming requests 40 times per day, invoicing 120 times per month, and accounting contributes to significant savings.
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