IFS Cloud 25R2 brings a boost in intelligence to Enterprise Asset Management (EAM), embedding AI-powered insights directly into asset management workflows. From smarter reporting and reliability engineering to advanced asset visualization and QHSE management, organizations can optimize maintenance, improve compliance, and accelerate digital transformation.
Every asset tells a story. Some stories are about uptime and reliability; others are about the hidden hours spent on paperwork, the scramble to meet compliance, or the lessons learned from unexpected failures. In asset-intensive industries, these stories shape not just operations, but the future of the business.
That’s why IFS Cloud 25R2 is different. With Industrial AI Applied, intelligence isn’t an add-on or an afterthought. It’s embedded in the flow of work, transforming how organizations manage assets, make decisions, and deliver results. Unlike generic AI, IFS Cloud’s approach is built for the realities of enterprise asset management: practical, in-the-moment, and always context-aware.
Turning Invisible Effort into Visible Value
A technician wraps up a critical repair and, instead of wrestling with paperwork, simply speaks a summary or writes a quick note into their device. Instantly, AI-powered Work Order Reporting Data Population fills in asset ID, task performed, time spent, and materials used. Reporting becomes effortless and accurate, freeing up more time for maintenance and ensuring compliance is never an afterthought. This is maintenance optimization in action, powered by IFS Cloud’s asset management software.
Reliability, Accelerated
A reliability engineer faces a backlog of maintenance reviews. With the FMECA Data Enhancer, AI analyzes historical work orders and fault reports, surfacing likely failure modes, causes, and mean time between failures (MTBF). Instead of starting from scratch, the engineer receives intelligent recommendations, enabling faster analysis and more effective preventive maintenance strategies. IFS Cloud 25R2 delivers AI-driven reliability engineering for asset-intensive industries.
Continuous Improvement, Built In
Maintenance planners notice that certain work tasks are taking longer than expected. The Work Task Template Optimizer reviews completed tasks, identifies patterns, and recommends updates to instructions, ensuring future jobs are more efficient and aligned with real-world execution. This is digital transformation in asset management. AI-powered continuous improvement that makes every maintenance cycle smarter than the last.
See More, Do More: Asset Visualization
A planner preparing for a major shutdown navigates a 3D CAD model within IFS Cloud, highlighting equipment health and pinpointing exactly where to send technicians. Fault reports are created directly from the model, bridging the gap between design and operations, reducing errors, and empowering teams to act with confidence. IFS Cloud’s advanced asset visualization brings clarity to complex assets.
Safety That’s More Than a Checklist
During a high-risk maintenance window, safety officers rely on enhanced QHSE management. Isolation actions are logged step-by-step, sign-offs can be rejected or reset, and due dates keep processes on track. Visual navigation links isolation orders directly to assets, while print-ready documentation supports teams in the field. IFS Cloud Enterprise Asset Management supports QHSE management, helping organizations meet regulatory requirements and reduce operational risk.
Built for the Real World
IFS Cloud 25R2 is designed for the realities of enterprise asset management, where every minute counts, every detail matters, and every improvement drives value. This release offers practical innovation that delivers measurable outcomes for the teams who keep the world running.
SOURCE: Melanie Karunaratne ( 2026 January 8 ) Every Asset Tells a Story, Industrial AI Applied in Enterprise Asset Management. IFS Blog. https://blog.ifs.com/every-asset-tells-a-story-industrial-ai-applied-in-enterprise-asset-management
