Definitions, comparisons and costs explained by the people who build the software. Every note has a date, an author and its sources at the bottom, so you can check what you read.
16.4% of Italian enterprises use AI, but only 2.9% use it to automate workflows. The gap tells you the right question is not "which tool" but "which process". Here we explain how to choose it, how to build the first automation and what to measure, with the numbers and with examples from our own projects.
The acronym gets used for anything, from a slide deck to a finished product. Here we take it back to the original definition, explain what goes in and what stays out, and give the cost and time ranges we use in our quotes, with three examples from our own projects.
It is the first decision behind a platform sold by subscription, and the hardest one to change later. Here we define the terms, compare the models on the criteria that really matter, and explain why two of our products went opposite ways.
The word "agent" has ended up everywhere, and it means different things depending on who says it. Here we define it in a way you can check, we tell it apart from the automations that already exist, and we put it in front of the numbers: how many companies use them, how many projects reach production, what they cost.