Atos launched the Experience Operations Center (XOC) in partnership with Nexthink.
The joint XOC delivers digital workplace operations that enhance end-user experience through enabling real-time, AI-driven efficiencies and boosting workplace productivity.
Atos was one of Nexthink’s first managed services partners; this new offering builds on their 8-year partnership rooted in helping organizations create employee-centric workplaces that drive innovative and sustainable business value.
Powered by Atos Real-Time Data Processing Framework (RTDPF) which captures billions of workplace and devices data, and Nexthink Infinity, XOC integrates data from sources such as IT service management, endpoint, contact center and identity management platforms within the digital workplace, to provide a unified, real-time performance overview. Beyond the analytical insights provided by standard workplace analytics, the XOC command center proactively pinpoints user experience issues, 24/7 and in real time.
Its serverless architecture reveals hidden patterns and forecasts based on historical data and Atos 10-year expertise in digital experience management, allowing agile and responsive decision-making and problem resolution before users are affected.
Leon Gilbert, Senior Vice President Digital Workplace Atos, said: “Focusing on employee experience is crucial for organizations to drive performance, streamline efficiency, and boost profitability. Our innovative Experience Operations Center helps achieve this ambition by leveraging state-of-the-art automation and AI that put humans at the heart of their problem-solving capabilities”.
Atos leverages Nexthink’s digital workplace observability and automation platform to streamline issue detection, diagnostics and remediation. By helping companies to go from proactive incident identification to automated fixes in minutes, Nexthink’s platform supports XOC offering to deliver cost reduction, time savings, improved sustainability and increased employee performance. Going forward, Atos and Nexthink continue to collaborate to enhance the employee experience offered to their clients.
Yassine Zaied, Chief Strategy Officer, Nexthink, said: “Atos has long been an innovator in the end user computing space, and this latest offering will once again challenge the status quo for the better. Today, the Digital Employee Experience is no longer just a consideration, it’s central to every successful digital transformation. It demands a systematic, not ad-hoc, approach. Atos XOC has such transformative potential and we’re proud to play a pivotal role in driving this evolution forward”.
The Experience Operations Center compliments Atos’ Digital Workplace portfolio offerings by real-time insights in the digital workplace experience, proactive issue detection and accelerated resolution. Atos teams provide end-to-end employee experience solutions through digital collaboration and productivity tools, as well as intelligent customer care services.
The Latest
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...
40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...
Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...
Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...
Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...
Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...