Technonicol Digital, the IT division of the industrial company Technonicol, highlights the challenges of scaling AI pilots in manufacturing. CEO Yakov Ilyinykh identifies three primary focus areas: quality control, equipment state forecasting, and digital twins for process simulation.
Key barriers to digitalization include high integration costs and fragmented data. Scaling is hindered by the lack of standardized data exchange between equipment and software, which turns every new factory deployment into a separate project rather than a repeatable rollout.
Successful implementation requires funding that covers data preparation, system integration, and staff training. The company emphasizes that AI models should be selected only after defining the production process, quality control requirements, and economic parameters.
Future production trends focus on adaptive manufacturing, where AI agents operate within human-defined boundaries, and data-driven management of energy and raw material consumption. The company is currently testing a 90-day AI-native development pilot to streamline these processes.
