In manufacturing, clarity, reliability, and predictability are essential. That is why PSI applies AI as targeted support in daily operations. Each AI module is developed in direct response to specific production requirements - precisely where ERP and MES solutions already play a key role and will become even more impactful in the future. This includes areas such as planning, sequencing, forecasting, information management, process monitoring, and performance evaluation.
Application-oriented development: Turning practical requirements into functions
What does this mean for PSIpenta users in practice? AI doesn’t replace existing functions - it strategically enhances them. Rule-based features are now enhanced with learning components. Instead of making decisions automatically, the system prepares them intelligently: Users receive precise suggestions, helpful hints, well-founded answers, and structured guidance based on available data and proven process knowledge. This evolution isn’t just about following a technological trend. It’s a direct response to the real-world need to manage growing complexity and to leverage existing information more effectively.
All AI modules are designed to integrate seamlessly into existing processes, delivering measurable value in daily operations. They generate actionable, transparent, and context-specific recommendations that can be applied directly. Over time, this establishes a strong foundation for companies to advance their digital capabilities - not through disruption, but with the strategic objective of managing complexity and securing long-term competitiveness.
Dialog-based search in PSIpenta: Structured knowledge retrieval
The first intelligent ERP and MES enhancements are being developed in areas where access to information and precise planning are vital for success, yet traditional functions often reach their limits. When information exists but is not easily accessible or fully usable, AI can bridge the gap byquickly uncovering connections and delivering clear, tailored summaries for each user.
One example is the Retrieval-Augmented Generation (RAG) system - a dialogue-based tool that makes information from process documentation, DokuWikis, and manuals instantly accessible. Instead of navigating through menus or tabs, users can simply ask questions and receive clear, structured answers. This is especially valuable in situations where quick orientation and reliable decision-making are essential, as it eliminates unnecessary search time and enables immediate use of existing knowledge. The system’s unique architecture intelligently distributes functionality between local resources and the cloud. Sensitive information remains within the customer’s own infrastructure, giving companies full control over their data while minimizing risks of data leakage and reducing external dependencies.
Production planning with AI: From patterns to better decisions
A production planning system enhanced with learning algorithms can create optimized planning scenarios. By leveraging historical planning patterns, the integrated AI component provides deeper insights, suggests alternative sequences, and detects potential bottlenecks early in the process.
During the planning process, the AI-supported planning and scheduling solution can identify and leverage type representatives. It addresses uncertainties that arise when components or modules for an order are not yet available. To manage this, the system automatically selects a temporary model scenario from a pool of historical planning cases. Guided by AI, it chooses the scenario that best matches the current situation, providing a reliable basis for planning decisions.
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Joint development with industry: Achieving true integration
At PSI, our approach to integrating AI is guided by a clear principle: New functions are developed hand-in-hand with the companies that will use them - not in isolation. Rather than offering one-size-fits-all solutions, we focus on real-world needs, always taking into account the specific processes, challenges, and goals of the industrial environment.
Development progresses step by step and is guided by standards and operational usefulness, not just technological feasibility. Through pilot projects and proofs of concept, initial functions are tested and refined under real-world conditions. The result is AI solutions that integrate seamlessly into existing systems and decision-making processes - without disruption or the creation of artificial parallel worlds.
AI in PSIpenta: Practical, connected, and ready for everyday use
Artificial intelligence delivers value not through abstract concepts, but by providing concrete support for processes and making knowledge more actionable. PSI follows this approach precisely: Each intelligent enhancement adds smart functions tailored to real production needs.
Today, PSIpenta users can rely on integrated, traceable, and intelligent enhancements - adopted at a pace that suits their operations.
