Many AI projects begin quickly.
But only a few manage to reliabily go into operation.
Generative AI has arrived across organizations. Teams are testing chatbots, copilots, and early agents for support, knowledge management, internal processes, and technical documentation.
However, the bigger challenge begins after the first pilot project: answers must be reliable, sources must remain traceable, and the system must be able to handle real company data — not only clean text, but also PDFs, tables, images, technical drawings, and various systems.
The benchmark AI accuracy report shows why exactly this step is difficult for many companies.
