AI implementation challenges for businesses and public administration

Businesses and public administrations face growing challenges regarding the transparency and verification of artificial intelligence costs and data security.

A significant issue involves the measurement of AI tokens, which serve as the primary unit for billing. Because the tokenizer algorithm is proprietary to each provider, the number of tokens generated for the same text can vary between different laboratories or even between different versions of the same model. This lack of standardized, independent verification means that companies cannot easily confirm if the billed amount corresponds to the actual work performed, creating a regulatory gap similar to uncertified commercial scales.

Additionally, the implementation of the AI Act has increased the necessity for rigorous data management protocols. Companies are advised to implement strict checklists before uploading data to external AI platforms, focusing on contractual obligations regarding personal data processing and the oversight of sub-suppliers to avoid legal risks.