Blog
Practical AI notes for businesses, not theory.
Notes on where AI pays off in a company's operations, what NIS2 looks like in practice, and what AI can do today in finance and automation.
Why so many companies abandoned their AI project last year — and what the ones that succeeded do differently
The share of companies that scrapped an in-progress AI project over the past year rose sharply year on year. Yet the data and our own clients show a clear pattern in how a successful deployment differs from one that ends up in a drawer.
Accounting AI agents are moving from pilots into everyday operations — what that means for smaller companies
According to recent tool round-ups for AI in accounting, agents for processing invoices and payables are heading into live operation in ever larger teams. What can companies just starting out read from this shift?
AI agents that keep working after you close the laptop — and what that changes for smaller companies
A new generation of AI agents can handle scheduled work in the background, without anyone sitting at the screen. We look at what that means in practice for internal company processes.
Where AI saves the most time in company accounting
Document processing, data consistency checks, and report preparation are among the most common places where AI saves the most hours in the accounting office. We look at why, and how to go about it.
NIS2 in practice: where Czech companies most often go wrong
The NIS2 directive widened the group of companies that must demonstrably manage cybersecurity. We summarise the most common mistakes we run into while preparing companies for an audit.
Where AI automation pays off first in a company
Before a company rolls AI out across its whole operation, it pays to find one specific process with a clear return. Here is how to recognise a process like that.