Accelerate SAP Network Troubleshooting from Hours to Minutes: Agentic AI approach

Introduction Industry research (2024–2026) estimates that SAP network outages cost enterprises an average of $100,000 per hour, yet traditional troubleshooting still requires 2–4 hours of manual work across multiple tools. Kiro-CLI and AWS Model Context Protocol (MCP) Servers change this equation. With this agentic AI approach, you diagnose and resolve network connectivity problems across complex SAP landscapes in minutes, using natural language instead of dozens of memorised CLI commands. Three challenges slow down SAP network operations teams today: Complex network diagnostics that demand deep knowledge of multiple AWS services, adding hours to incident response. Time-consuming connectivity analysis: correlating VPC Flow Logs, route tables, and security groups by hand can take operations teams 2–4 hours per incident in our experience. Fragmented network health monitoring in RISE with SAP deployments where multiple network boundaries exist. In this post, you will learn how to: Use MCP Server and Kiro-CLI together to simplify SAP network troubleshooting. Run automated network health checks with natural language commands. Streamline diagnostics — replacing complex CLI syntax with pl...