AI-Driven Multi-Cloud Orchestration System for Enterprise Digital Experience Delivery

Abstract

Organizations are relying more and more on distributed, cloud-native ecosystems to give users smooth digital experiences. However, traditional orchestration solutions have trouble managing these resources that are spread out, performance that is inconsistent as well as adapting to changes in actual time. This research presents an AI-driven multi-cloud orchestration solution designed to unify provisioning, scaling, optimization along with their experience monitoring across various cloud environments, emphasizing customer-centric Key Experience Indicators. The proposed architecture combines intent-driven automation, predictive analytics, deep reinforcement learning & cross-cloud telemetry fusion to dynamically allocate these resources, find problems, predict performance drops, & fix them on their own before they affect end users. To fix the ongoing gap between infrastructure automation and providing a good digital experience, the solution gives equal weight to application-level responsiveness, user journey continuity & cost-performance trade-offs. The evaluation employed a combination of authentic enterprise workloads, artificial stress tests, and multi-cloud settings spanning AWS, Azure as well as GCP. We used metrics like lowering latency variance, meeting SLAs, improving auto-scaling, finding anomalies & raising experience scores to see how well it worked. The results show that the AI-driven orchestrator outperformed rule-based & vendor-specific technologies by responding to load spikes faster, improving cross-cloud failover efficiency along with increasing experience stability by 30% to 45% during peak times. This study introduces a unified AI orchestration architecture that amalgamates operational intelligence with their digital experience analytics, features a scalable inference layer proficient in managing multi-cloud heterogeneity & incorporates a learning-driven optimization engine that continuously enhances orchestration rules. The system shows how AI can take orchestration beyond simple automation to a proactive, user-centered decision-making framework that improves how digital experiences are delivered across different cloud platforms.