Enterprise software provider IFS used its annual conference in Orlando, Florida, to introduce a new artificial intelligence platform engineered specifically for heavy industries such as aerospace, energy, and manufacturing. Chief Executive Officer Mark Moffat addressed attendees by drawing a comparison between the massive scale of enterprise operational data and the relatively compact training sets typically used by generalized frontier models. He noted that while standard consumer tools excel at generating broad, generic responses, they lack the specialized, proprietary context required to safely manage live industrial environments where mistakes can lead to grounded aircraft or safety incidents.
Introducing IFS Intelligence
The newly launched platform, named IFS Intelligence, is designed to integrate conversational capabilities with the deep operational context, controls, and connections unique to each enterprise. By pulling data from live assets, historical work orders, schedules, and service histories, the system aims to provide actionable insights for organizations operating outside traditional office settings. The platform is made available through a universal enterprise-wide license that incorporates AI execution under a fair usage cap across relevant software installations.
Core Components of the New Platform
The architecture of the platform incorporates several distinct modules built to handle different aspects of industrial automation and data interaction:
- Cowork provides a conversational front-end accessible via voice or chat, allowing workers to query operational data and save successful actions as repeatable skills.
- Loops utilizes agentic workflows acquired from startup technology to orchestrate complex tasks, escalating decisions to human operators when judgment is required.
- Runway translates plain-language requirements into functional prototypes and specifications to accelerate system configurations.
- Industrial AI Harness serves as the underlying foundation, managing permissions, governance, guardrails, and full observability for every automated action.
Additionally, the company integrated a new capability known as Fulfillment Flow into its warehouse management software. This feature employs multiple synchronized agents to analyze real-time warehouse conditions while leaving final prioritization and decision-making responsibilities to human supervisors.
Industry Adoption and Real-World Results
Early deployments have already yielded measurable efficiency gains among enterprise customers. For instance, natural gas compression specialist Kodiak Gas Services reported an eighty-five percent increase in efficiency after implementing agentic workflows for materials replenishment. Executives from the adopting organizations emphasize that grounding artificial intelligence in decades of accumulated asset intelligence allows frontline technicians to rely on automated systems without compromising safety or operational continuity.