The statistics are brutal: most AI projects fail to deliver their expected value. After working on over 50 AI projects with Hungarian businesses, we've identified the single biggest reason for failure — and it has nothing to do with technology.
The root cause is almost always the same: companies try to automate processes that are already broken. They assume AI will magically fix inefficiencies that have been building for years. It won't.
AI Is an Amplifier
AI takes what exists and scales it. If your process is efficient, AI makes it incredibly efficient. If your process is chaotic, AI scales the chaos.
That's why we developed the Function Protocol. Before we write a single line of code, we map and fix the underlying process. It takes longer upfront, but it's the only approach that consistently delivers results.
Three Things You Can Do Today
- Map your processes as they actually are, not how you think they are.
- Fix the obvious bottlenecks before considering automation.
- Start with a clear, measurable goal for what AI should achieve.