AI Automation

Where AI automation pays

The demos you see are chatbots and content generation, because they look good in a five-minute video. The money is usually somewhere duller. Picture a person who spends nine hours a week copying figures from PDFs into a spreadsheet, and gets two per cent of them wrong.

You can measure the cost of that work, how often it goes wrong and how soon automating it pays off. So that's where we start, and our first question is about your week, before any technology.

How we choose what to automate

A short audit of where the hours go. Which tasks repeat, how long they take, how often they go wrong, and what happens when they do. Usually it's a few days of asking people what they spend Monday morning on.

Then the sums, before we build anything. What it costs now, what it would cost to automate and run, and when the savings catch up. If that takes longer than a year, we say so. We've talked clients out of automation for exactly that reason.

Then the smallest useful version. One process, live and measured. A result people can point to wins more support inside a company than any roadmap.

What we build with

Whatever fits and whatever you can keep running. Sometimes an AI model does most of the work. Often it does one small part, such as reading a messy document, and the rest is ordinary integration work that will still make sense in two years. What matters is the hours you get back.

What people underestimate

Exceptions are most of the work. The normal case is a small part of the job. Most of it is what happens when an invoice arrives in an unexpected language, a service is down, or two records match equally well. Handling those is what keeps automation working after the demo.

People need to trust it. Staff work around a tool they don't trust, and at first they're usually right to. We build in the review step, show the reasoning, and let trust grow.

When we'll tell you not to

If the process changes every month, you'd be updating the automation every month. If it runs twice a year, it will never pay for itself. And if the process itself is broken, automating it just gives you wrong answers faster. Often fixing the process is the whole job, and it costs less.

If you're in Hungary

The same team offers a local version from Budapest, on Central European Time: AI consulting in Hungary. It covers automation, chatbots and assistants, and the assessment that tells you which of them you need.