IFS Launches IFS Intelligence to Bring Agentic AI into Industrial Operations

Key Takeaways

IFS launches IFS Intelligence: A new AI-powered platform designed to help industrial organizations turn operational data into actionable insights and business actions.
Three core capabilities: Cowork supports conversational insights and actions, Loops enables digital workers to handle defined workflows, and Runway helps accelerate enterprise application development and modernization.
Natural-language interactions: Employees can ask questions about business operations, investigate issues and identify potential solutions without manually navigating multiple systems.
Reusable AI workflows: Organizations can create reusable Skills and continuously updated Lenses to support recurring operational tasks and improve access to business information.
Industrial process automation: Potential use cases include production planning, maintenance, supply chain coordination, resource utilization and field service management.
Enterprise integration: IFS Intelligence is designed to connect operational information and can integrate with systems such as Microsoft 365 through MCP.
Governance and human oversight: The IFS Industrial AI Harness provides a governance and control foundation, supporting business-defined permissions and approval processes.
Enterprise-wide licensing: IFS describes a universal enterprise-wide licensing model for applicable in-scope IFS software, including AI execution entitlements subject to fair-use limits.
A shift toward action-oriented AI: The launch reflects the broader movement from AI that only generates answers toward AI that supports and executes governed business workflows.
Business impact: Industrial organizations can explore opportunities to reduce repetitive work, improve decision-making, increase operational visibility and respond faster to business disruptions.

IFS has launched IFS Intelligence, a new AI-powered solution designed to help industrial organizations turn operational data into actionable insights and execute business tasks more efficiently. Announced at IFS Unleashed on 13 October 2026, the solution brings together information from assets, systems, processes, work orders, schedules and operational history through a unified conversational interface.

The launch reflects a growing shift in enterprise software: moving beyond AI that simply answers questions toward AI that helps organizations investigate problems, recommend actions and execute workflows under business-defined controls.

Turning Industrial Data into Actionable Insights

Industrial organizations often rely on multiple systems to manage manufacturing, maintenance, supply chains, field service and finance. Although these systems contain valuable operational information, accessing and connecting the data can require considerable manual effort.

IFS Intelligence aims to simplify this process by allowing employees to ask questions in natural language and receive insights based on live operational data. Users can investigate issues, understand potential causes and identify appropriate next steps without manually navigating multiple reports and applications.

For example, a production manager facing a potential delivery delay could use the platform to investigate inventory availability, production capacity, supplier commitments, logistics constraints and financial implications. The system can identify potential risks, recommend actions and allow the manager to approve the next steps.

Three Ways to Apply Industrial AI

IFS Intelligence introduces three key capabilities:

1. Cowork — Ask Questions and Take Action

Cowork enables users to query operational data, investigate problems and prepare actions through natural-language interactions. Users can turn successful workflows into reusable Skills and create Lenses, which provide continuously updated views of operational information. The platform can also connect with systems such as Microsoft 365 through the Model Context Protocol (MCP).

2. Loops — Delegate Work to Digital Workers

Loops enables organizations to delegate defined workflows to digital workers that operate in the background and escalate tasks when human judgment or approval is required. Businesses can configure and extend these workers to support recurring operational activities.

3. Runway — Accelerate Enterprise Software Development

Runway uses natural-language requirements to help accelerate the migration, configuration and extension of IFS applications, with the goal of reducing implementation effort and risk.

Governance and Human Oversight Remain Important

Industrial operations require more than accurate AI-generated recommendations. Actions must respect business policies, permissions, safety requirements and approval processes.

IFS Intelligence incorporates the IFS Industrial AI Harness, which provides a governance and control foundation for the platform. This approach is intended to help organizations apply AI within the operational constraints of their business rather than treating AI as a separate, unrestricted tool.

Human approval remains part of workflows where authorization or judgment is required.

What This Means for Manufacturing and Service Businesses

The launch has implications for organizations operating in manufacturing, aerospace, energy, equipment services and other asset-intensive industries.

Potential applications include identifying production bottlenecks, investigating maintenance issues, improving resource utilization, coordinating supply chain activities and streamlining service operations.

By connecting operational information with recommended actions, industrial businesses can explore opportunities to reduce repetitive work, improve decision-making and respond more quickly to emerging problems.

Availability and Commercial Model

According to IFS, IFS Intelligence is available now. The company offers it through a universal enterprise-wide licence covering the in-scope IFS software licensed by the customer. The package includes access to the applicable IFS Intelligence capabilities and an entitlement for AI executions subject to fair-use limits.

Organizations considering adoption should assess supported applications, data readiness, governance requirements and the workflows where AI can deliver measurable operational value.

Conclusion

The launch of IFS Intelligence highlights the evolution of enterprise AI from information retrieval toward governed, action-oriented workflows. By combining conversational access to operational data, reusable AI skills, digital workers and enterprise application development capabilities, IFS aims to help industrial organizations translate existing business knowledge into practical results.

For businesses evaluating industrial AI, the key consideration will be how effectively these capabilities integrate with existing operations and deliver measurable improvements in productivity, reliability and service performance.