Knowledge on automation and AI
Practical insights on implementing AI in companies, no jargon, with real-life examples.
AutomationWhere should a small company start with automation? A practical guide
You don't need an IT department or a huge budget. You need one, well-chosen process. This guide shows you how to find it, calculate whether it pays off, and avoid the most common mistakes.
SecurityPrivate language models and company data security
We explain, without technical jargon, how a private AI model differs from public tools and why for many companies it's the only acceptable path to automation.
WorkshopsWhat does a good AI workshop for a team look like? Practice, not slides
After most AI workshops, teams go back to work with notes nobody ever opens. After a good one, they go back with working automations. Here is the difference, and how to spot it before you sign up.
AutomationCustomer service automation without losing quality, the 70/30 rule
Customers don't mind automated tools, they mind bad ones. Here's how to automate service so customers are more satisfied and the team gets to breathe.
DeploymentsHow much does AI implementation cost, and what determines the price?
The honest answer is: it depends, but we can be specific about what it depends on. We break down automation implementation costs into their basic factors and show how to calculate the return.