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Reduce downtime, improve efficiency, and kick-start automation with the power of AI

Building systems downtime rarely starts where it is first detected—a minor failure can begin far upstream from where it’s revealed. For example, an HVAC power anomaly can degrade cooling, which then cascades into compute throttling and SLA risk. 

The good news is that facilities operators can be immediately notified of even the most minor of system failures. The bad news is often they face an overwhelming flood of incident alarms but don’t have the necessary visibility to address the critical ones.

Even partial power outages can lead to hundreds of power and mechanical alarms in a 60-second period, making it very difficult to identify and correct the root cause. 

“During normal operations, we see systems where facility managers have a long-term build-up of alarms that remain unacknowledged and are not acted upon,” says Sadiq Syed, senior vice president of digital buildings for Schneider Electric. “This leads to operator alarm fatigue where meaningful alarms that could lead to downtime are missed or ignored.”

The challenge for CIOs, IT, and operational technology (OT) teams is that power and mechanical systems in the environment often operate in silos. Without centralized control it becomes practically impossible to analyze and act on disconnected data. One solution is to integrate multiple edge-control systems into a single dashboard using middleware software. But implementation can be complex, costly, and time-consuming. 

The solution: AI-powered operations platforms

The problems of alarm overload are not new. In fact their significance is acknowledged by ANSI/ISA-18.2-2016, a global industry standard that outlines a structured framework to help organizations develop, implement, operate, and maintain effective alarm systems. 

However, even when standards like ISA-18.2 are designed into alarm systems, it’s the consolidation of notifications across various OT domains, such as power and mechanical, that can greatly improve solution value for facility managers. 

This is where AI-powered analytics come in, unifying power, energy, and building systems into one data model so operators see real-time cause and effect. Thousands of alarms become prioritized incidents based on likely root cause, probable impact, and recommended actions.

This is precisely how Schneider Electric makes it possible to turn a flood of alarms into consolidated, actionable data. This in turn enables faster resolution, longer equipment lifetime, fewer repeat events, and service levels that hold up under pressure.

EcoStruxure™ Foresight: Advanced insights for operational efficiency

Schneider Electric has been at the heart of technology innovation for over 180 years, leading the convergence of electrification, automation, and digital intelligence for cross-domain operational resilience. The company’s EcoStruxure™ Foresight is a groundbreaking AI-powered operations platform designed to unify operations across energy, power, and building management.

With pre-integrated multidomain power and mechanical applications, the platform consolidates alarms into a single interface and dashboard. It eliminates the need for middleware or manual integrations, empowering facility managers to save time and money, speed deployment, improve life cycle efficiency, and enable autonomous operations.

Embedded AI accelerates root cause analysis by up to 90% in the built environment, enabling predictive maintenance and simplifying decision-making. “We see these results with customers that have large siloed systems and face large numbers of alarms produced by physical failure of power or mechanical assets in their facilities,” says Syed. “By accelerating root cause analysis during these failure conditions, we can reduce asset downtime that affects critical business processes.”

Foresight can contribute up to 50% more efficiency across the life cycle for customers leveraging both the power and mechanical applications, says Syed. And with consistent user experience across applications and tooling, onboarding new facility managers can be up to 60% faster versus other solutions. In today’s environment of increasing employee retirement and workforce shortages, nonstop operations depend on incoming staff to hit the ground running.

EcoStruxure™ Foresight provides a single intuitive interface for supervision, control, and advanced insights for next-level operational efficiency.

The bottom line 

Mechanical and power systems downtime in a built environment are both problematic and expensive. With disconnected equipment, alarm overload is all too common, leading to problems going unnoticed until it’s too late. 

The AI-powered EcoStruxure™ Foresight platform eliminates silos, simplifies complexity, and embeds intelligence at the core of operations, delivering the unmatched visibility, control, and actionable insights CIOs and building operators need.

EcoStruxure™ Foresight will be available to early-adopter customers in Q4 2026 and in BETA versions even earlier in 2026. Learn more here.



Read More from This Article: Reduce downtime, improve efficiency, and kick-start automation with the power of AI
Source: News

Category: NewsFebruary 23, 2026
Tags: art

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    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

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