Is there already an "AI-native" reality in Bulgaria's tech sector? Vladimir Vladkov opens his analysis in Digitalk with that question. His main argument is that Bulgarian IT companies are moving from experiments to active integration: AI is now part of product architecture, day-to-day operations and strategic consulting.
The details of the analysis sit behind the publication's paywall. Here we look at what "AI-native" means in practice and how to tell an experiment from real adoption.
Experiment vs. adoption
| Experiment | Adoption |
|---|---|
| Someone on the team tries out a tool | There is a process in which the tool is one step |
| Results are judged by eye | Results are measured |
| There are no rules for data | There is a clear policy on what can be entered |
| It depends on one person | It is documented and can be handed over |
Three levels of AI in a company
1. In your processes
Summarizing documents, drafting texts, classifying inquiries, helping write code. The easiest place to start and the easiest to measure.
2. In your product
Features for your customers: semantic search, recommendations, assistants. This requires more attention to quality and security.
3. In your business model
Services that would not be possible without AI. This is also where the biggest risks are.
What this looks like at a web studio
For us, AI sits at the first level: it helps with analysis, research and routine tasks, but every decision about structure, design, copy and code is checked by a person. The reason is simple: you are paying for a result, not for generated text. You can read more about our approach on the About page.
Related: EY's barometer on AI in Bulgarian business.
Topic source: Digitalk: Bulgarian IT companies are moving from experiments to AI integration (in Bulgarian). This article is an independent analysis by Penkov Studio.
