Syspro Launches Torque AI Platform for Manufacturing

Syspro has introduced Syspro Torque, an industrial AI platform designed to detect operational issues, recommend solutions, and automatically execute approved actions across existing manufacturing systems. Engineered around a "Glass House" principle, Torque ensures that every automated action is transparent, fully logged, and clearly explained. Operators can trace the exact business rules and data sources that influenced a decision, mitigating the risks associated with "black box" AI tools and providing a strict reasoning chain for compliance and auditing purposes.

Built on nearly five decades of encoded manufacturing knowledge, Torque connects natively to any ERP, as well as legacy SCADA, MES, and warehouse management systems via MCP connectors, eliminating the need for bespoke middleware. The platform features a no-code interface that allows operations teams to describe desired workflows in plain language, empowering non-technical staff to rapidly build and deploy AI agents. To ensure measurable value, Torque provides upfront cost estimates for each workflow, operating on a deterministic usage-based pricing model that scales as the automated agents prove their return on investment.

Additional Context
This section provides technological and market background not explicitly detailed in the original release.

The manufacturing sector has historically been hesitant to deploy autonomous artificial intelligence directly on the shop floor due to trust and reliability concerns. In highly interconnected industrial environments, a single incorrect automated decision can trigger severe cascading failures across inventory forecasting, supply chain logistics, scheduling, and costing. By prioritizing explainable AI and deterministic rule execution, platforms like Torque address the critical need for data governance and operational safety in mid-market manufacturing. Furthermore, enabling domain experts—such as production managers rather than data scientists—to construct AI agents using natural language bridges the gap between sophisticated machine learning capabilities and practical, day-to-day shop floor realities.

Edited by Lekshman Ramdas, Induportals editor – adapted by AI.

www.syspro.com