Xempla has announced the launch of its Remote Operations Agent, a dynamic AI Agent designed to help ROC engineers fast-track the review, assessment, and conversion of tickets into actionable work orders. The Agent automates the preliminary triaging process, provides advanced decision support at every step, and offers a hyper-focused workflow to boost engineer productivity. In collaboration with other agents in the Xempla ecosystem, it will help engineers improve the efficiency of triaging, enhance the quality of work orders, and ultimately boost the value of corrective maintenance activities.
This Agentic AI solution is tailored to transform the remote engineering operations process and marks Xempla’s first step towards the broader autonomous maintenance movement across the built environment.
As Facilities Management and Engineering / O&M Service companies shift from traditional planned and reactive maintenance to proactive data and technology-driven approaches, Remote Operations Centers with specialized engineering teams are growing in number. While companies are increasingly focusing on driving outcomes and enhancing their ability to do more with existing resources, the modern ROC is characterized by inadequate software tools, slow-moving processes, and poor collaboration systems that prove the case to be quite the opposite.
Instead of becoming centralized hubs of operational agility and efficiency, the modern ROC ends up firefighting as engineers spend more than 50% of their time on repetitive admin work and manual processes that take them away from core engineering tasks of high strategic value. Critical issues are overlooked and decisions are delayed or underinformed, compromising asset performance, reliability, and customer experience. With the challenge of rising customer expectations, growing cost pressures, skill gaps, and resource constraints, the need to adopt AI and automation-driven solutions in maintenance operations is now greater than ever.
“At this point, FM & Engineering Service companies need transformative solutions as incremental ones will not be enough. To bring about this change, we’re envisioning a new era of ‘Autonomous Maintenance’, where most tasks — like monitoring, diagnostics, and routine inspections (non-intrusive) — are automated or guided by technology, with human involvement focused on oversight and critical decisions. Operators step in for on-site actions when required,” says Umesh Bhutoria, founder & CEO of Xempla.
“By taking an AI and automation-first approach, companies can exponentially increase productivity, maximize resource utilization, and retain organizational knowledge to create a competitive advantage and achieve goals at up to 40% lower cost without compromising on quality.”
With the Remote Operations Agent, engineers can focus on core engineering tasks, work on more (high-impact) tickets in less time, improve collaboration with technicians, and make better decisions faster. This will help ROCs increase ticket throughput, reduce turnaround times, and enhance the value derived from engineering resources and onsite teams. The team at Xempla is developing a whole suite of other agents each focused on aspects like data quality assessments, reliability assessments, and work order planning & allocation to streamline the entire maintenance operations process. All agents and tools will work in tandem to help service providers run leaner, more efficient operations resulting in increased margins while delivering asset performance, reliability, and energy efficiency improvements.