When AI Stops Writing and Starts Deciding: New Approaches for Industrial Processes
Artificial intelligence does not always have to generate text to create value. In industrial environments, the focus is often on something entirely different: correctly classifying information, identifying risks, and efficiently supporting decision-making processes. This is precisely where System One Models come into play.
In September 2026, Jev was introduced as an AI model that takes a different approach from traditional generative language models. Instead of generating text-based responses, it provides probabilities for predefined decision options – quickly, systematically, and transparently.
For industrial companies, this approach opens up interesting opportunities. Whether prioritising maintenance alerts, assessing quality deviations, or processing supplier enquiries, recurring decisions could be evaluated more efficiently, enabling more targeted process automation.
The key consideration is that control over rules, approvals, and safety-critical processes remains with the company. AI supports the assessment process, while binding decisions continue to be governed by clearly defined rules and control mechanisms.
What Does This Mean for Industry in Practice?
In our latest whitepaper, the Artificial Intelligence Competence Center at cross-ING explores how System One Models work, their potential and limitations, and how companies can effectively integrate these technologies into existing processes.
Read our whitepaper and discover new perspectives on the use of AI in industrial applications:
→ Whitepaper German:
→ Whitepaper English:
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