Anamaria Coteneanu

A year of production AI in Romania taught us where projects actually work: hiring constraints, verifiable workflows, realistic limits, messy data, and funding windows.

AI adoption is accelerating, but results aren’t keeping up. The unfortunate reality today is that around 70% of AI projects fail, most often due to poor preparation.

Should you build custom AI or buy off-the-shelf? This guide compares cost, control, and long-term ROI to help mid-sized companies decide.

Romania ranks last in the EU for enterprise AI adoption at 5.2%, while the EU average hit 20%. Here's why the gap is widening and what medium-sized enterprises can do about it.

AI is a present-day advantage, but for many mid-sized enterprises, the road to adoption is messier than expected. Around 70% of failed AI projects don’t collapse because the tech doesn’t work. They fail because the organisation wasn’t ready for it to begin with.

Most companies investing in AI can't prove it worked. These 5 metrics fix the measurement gap: time saved, error reduction, revenue uplift, productivity, and customer satisfaction.

AI is the hottest thing in business right now. Every company wants it. Every CEO is talking about it. Every LinkedIn “thought leader” is milking it for engagement. Executives are signing off on AI projects because everyone else is doing it. Marketing teams are slapping “AI-powered” onto their products because it sounds impressive.  But the […]

Ever visited a website and immediately regretted it? Like, wow, did I just time-travel to 2012? Unfortunately, websites (and most tech) aren’t like fine wine.