EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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xOps and Observability
xOps and Observability unify intelligence across technology, applications, data, cloud, IoT and AI ecosystems, giving leaders real-time visibility into performance and outcomes. Powered by the EY know-how, predictive insights, agentic automation, and strong governance, they help enterprises accelerate innovation, build resilience, reduce risk, and deliver predictable and measurable outcomes at scale.
What EY can do for you
Organizations today operate in increasingly complex and fragmented digital environments where technology performance, customer experiences and business outcomes are tightly connected. EY xOps and Observability Managed Services help organizations transform operations from reactive to predictive and autonomous by connecting business outcomes to operational intelligence. Powered by EYOps, an open Digital Operations Fabric, the offering integrates business observability, AI-driven automation, intelligent workflows, AI agents, EY domain knowledge and human specialization into a unified operating model. This helps improve resilience, enhance business service reliability, accelerate incident resolution, improve cost performance, strengthen governance and deliver superior customer experiences.
EY xOps and Observability capabilities:
- Business Observability: Connect business outcomes, customer journeys, business services and operational performance through unified visibility and intelligence.
- Autonomous and AI-driven operations: Use AI agents, automation and human-in-the-loop governance to accelerate resolution and support autonomous operations.
- Technology and platform operations: Manage applications, platforms, cloud environments and infrastructure through integrated CloudOps, PlatformOps and AIOps capabilities.
- Data & AI Operations: Operationalize enterprise data, analytics and AI ecosystems through DataOps, MLOps, LLMOps and AgentOps capabilities.
- Trust, Risk, Connected Enterprise and Value Operations: Strengthen DevSecOps, PrivacyOps, GovOps, IoTOps and FinOps through integrated governance, automation and outcome management.
