Predictive Intelligent Routing for Multi-Cloud Enterprise Workloads

Enterprises increasingly deploy business-critical workloads across multiple cloud providers to improve resilience, reduce vendor lock-in, and optimize cost-performance outcomes.Yet, most multi-cloud traffic steering remains static or reactive, relying on fixed weights and health-check failover that respond after customers experience degradation.This manuscript presents a predictive intelligent routing framework that combines telemetry-driven forecasting, constraint-first governance enforcement, multi-objective decisioning, and operational safety controls to steer traffic proactively.A controlled 30-day simulation compares baseline round-robin routing to predictive routing across p95 latency, error rate, and cost per 10,000 requests.Results show consistent improvements in tail-latency stability, reduced error exposure, and lower unit cost, supported by 95% confidence intervals.The framework targets general enterprise workloads and can be implemented using common observability, gateway, and FinOps tooling [6] [8].