SYSPRO Launches Torque, an Industrial AI Platform for Auditable Manufacturing Decisions and Automated Actions
Key Takeaways
- SYSPRO has launched SYSPRO Torque, an industrial AI platform designed to detect operational problems, recommend solutions and execute approved actions.
- The platform connects with existing ERP systems, manufacturing execution systems (MES), supervisory control and data acquisition (SCADA) systems, and warehouse technologies.
- AI agents can support workflows across procurement, inventory, production planning, customer service and finance.
- Every decision includes a traceable record of the business rules applied, data used and reasoning behind the action.
- Torque supports no-code agent creation, allowing operations teams to configure AI workflows using natural language.
- The platform entered a controlled availability programme in August 2026, with SYSPRO announcing its launch on September 2, 2026.
SYSPRO Introduces Industrial AI to Turn Manufacturing Insights into Action
SYSPRO has introduced Torque, an industrial AI platform designed to help manufacturers and distributors move beyond traditional analytics and automate operational decisions.
Manufacturing businesses often manage interconnected processes involving suppliers, inventory, production schedules, product quality, compliance and customer deliveries. A disruption in one area can affect costs, production capacity and fulfilment commitments across the organisation.
Traditional ERP systems provide visibility into these activities, but identifying a problem and deciding how to respond can still require manual investigation and coordination.
SYSPRO Torque aims to bridge this gap by using AI agents to identify operational issues, recommend appropriate responses and execute approved actions within the systems businesses already use.
The platform is designed around practical manufacturing requirements, where automation must deliver measurable operational value without compromising accountability or control.
AI Agents Connect ERP Data with Shop-Floor Operations
A central feature of Torque is its ability to connect business information with operational systems.
The platform works with ERP software and can integrate with manufacturing execution systems, SCADA platforms and warehouse technologies. It uses these connections to bring together information about orders, inventory, suppliers, production schedules and shop-floor activities.
According to SYSPRO, Torque can work with different ERP environments, although its deepest integration is with SYSPRO ERP, where its manufacturing-specific business logic provides additional operational context.
This architecture is intended to help manufacturers identify problems earlier and coordinate responses across departments.
For example, an inventory shortage could affect production scheduling and customer delivery commitments. An AI agent could identify the issue, assess relevant operational information and recommend an appropriate response, subject to the manufacturer’s configured approval rules.
Auditable AI Keeps Manufacturing Teams in Control
One of Torque’s defining features is its emphasis on transparent and auditable automation.
SYSPRO describes this approach through its Glass House principle, under which AI recommendations and actions remain visible to authorised users.
The platform records the business rules applied, the data sources consulted and the reasoning associated with each transaction. This enables operators and auditors to review why an action occurred rather than relying on an unexplained AI recommendation.
Manufacturers can also determine how much authority to delegate to the platform. Depending on the workflow, they can require approval for every action or allow trusted, repeatable processes to run automatically.
This balance between automation and oversight is particularly important in manufacturing environments where decisions can affect product quality, regulatory compliance, costs and delivery commitments.
No-Code Configuration Makes AI More Accessible
Torque also aims to reduce the technical effort involved in deploying AI agents.
Operations teams can describe the task they want an agent to perform using natural language. The platform then helps build the corresponding agent without requiring conventional manual coding.
This approach could allow production planners, warehouse supervisors and operations managers to configure workflows based on their practical knowledge of business processes.
It may also reduce dependence on lengthy development cycles for routine automation requirements. However, organisations will still need to establish appropriate business rules, test workflows and define permissions before allowing agents to execute actions.
Supporting AI Across the Manufacturing Value Chain
SYSPRO says Torque can support AI-driven workflows across procurement, inventory management, planning, customer service and finance.
Potential applications include identifying supply shortages, highlighting inventory exceptions, responding to scheduling changes and improving the coordination of operational tasks.
The platform is also designed to provide visibility into AI-related costs. Manufacturers can review estimated workflow costs before execution, select how frequently workflows run and track the value delivered by individual agents.
This usage-based approach is intended to help businesses begin with targeted use cases and expand automation as results become measurable.
Availability and Industry Adoption
SYSPRO announced Torque on September 2, 2026, following the start of its controlled availability programme in August.
The programme includes selected manufacturers and distributors operating in sectors such as food and beverage, industrial equipment and fabricated metals. Participating organisations work with SYSPRO to determine which decisions agents should recommend, which actions they may execute and how results should be measured.
The company has positioned the platform for businesses seeking to introduce AI without replacing their existing technology infrastructure.
Conclusion
SYSPRO Torque represents a shift towards industrial AI that does more than generate recommendations. By connecting ERP data with shop-floor systems, creating configurable AI agents and maintaining an auditable record of automated decisions, the platform aims to help manufacturers improve operational responsiveness while retaining control.
For manufacturers evaluating AI adoption, the key consideration will be whether these capabilities can produce measurable improvements in inventory management, production planning, procurement and customer fulfilment. The platform’s controlled availability programme provides an opportunity to assess those benefits in real operational environments.