Erkan Teskancan
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💡 The AI Revolution in Manufacturing Begins!
At the IMTS 2026 exhibition in Chicago, Syspro introduced Torque, its new industrial artificial intelligence platform specifically developed for the manufacturing sector. This innovative platform aims to increase the operational efficiency of manufacturers by seamlessly integrating with existing ERP systems.
🤖 Make Your Manufacturing Processes Smart with Torque
Syspro officials stated that Torque was designed to solve the challenges manufacturers face with their ERP systems. Thanks to the platform's chat feature, users can define the tasks they need, and Torque can automatically create AI agents to perform these tasks without requiring manual coding.
🌐 Comprehensive Integration, Compatible with Any ERP
Torque is capable of working with any ERP system. It enriches this context by retrieving order, inventory, production schedule, supplier, and production line data from the ERP. Furthermore, it can easily connect with other existing systems such as MES, SCADA, and warehouse systems.
📈 Transparency and Trust in AI Adoption
Despite the high failure rates of AI projects in the industry, Syspro developed Torque with a "glass house" principle. This principle aims to provide manufacturers with maximum visibility and transparency in AI processes. Dan Abramson from Syspro emphasized that they understand the reservations of small and medium-sized manufacturers about AI and aim to build this trust with Torque.
🔍 Comprehensive Analysis, Instant Solutions
Creed Grimm, Syspro's VP of Presales, sees Torque's difference from other platforms in the complete solution it offers. The platform analyzes cross-system data, such as inventory and production, providing users with valuable insights. For example, it automates complex processes like tracking a faulty batch of material and identifying where it was used, eliminating the need for manual reporting and offering actionable steps to address the problem.
💰 Cost Control and Visibility Are Paramount
Torque provides upfront cost estimates for each workflow, sets an appropriate rhythm for operations, and tracks how efficiently each agent is performing. Abramson states that this "glass house" approach differentiates Syspro by clearly showing customers the trust, governance, and costs behind AI decisions.
