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💡 The Hidden Percentage of Industrial Capacity Emerges
IFS CEO Mark Moffat states that companies are not utilizing an average of 40% of their capacity. This lost capacity stems from issues such as unplanned downtime, missed first-time fixes, and scrap rates. IFS is addressing this problem with a new approach: IFS Intelligence.
🧠 IFS Intelligence: The New Face of Industrial AI
IFS Intelligence gathers all data from industrial assets, systems, and processes onto a single platform. This data is transformed into actionable tasks via a single AI-powered interface. The company claims that this allows AI to be applied to industrial challenges that technology could not solve before.
🤖 Digital Employees at Work
Somya Kapoor, CEO of IFS Loops, announced the expansion of the "digital employee" portfolio. There are now many new "job titles" for digital employees, such as predictive service manager, dispatch assistant, and work rate manager. These digital employees autonomously manage routine and high-volume tasks, directing human resources to more valuable work.
🗣️ Ask with Cowork, Take Action
Another component of IFS Intelligence, Cowork, allows users to ask questions about live operational data in natural language. They can investigate problems, prepare actions, and execute these actions once approved. Every answer can become a "Lens," a live view that updates as operations progress.
🛣️ Easy Expansion with Runway
Runway accelerates the transition, configuration, and expansion of IFS using natural language requirements. This allows systems to be expanded with less implementation effort and less risk.
⚙️ Industrial AI Infrastructure: AI Harness
Underpinning all these components is IFS's industrial AI infrastructure, AI Harness, which applies the context and controls required by industrial operations.
📈 Early Use Cases and Successes
IFS shares early success stories from customers using its new platform. For example, a production manager was able to identify that a large order was at risk with a single question using IFS Intelligence, and then determine potential causes and next actions. Curtis Taylor from Sims Crane & Equipment states that with IFS Intelligence, they have made their operational data more accessible to their teams and maximized fleet efficiency.


















