Summarize AI agents often fail in production because they rely only on LLM reasoning without a structured system to execute tasks across enterprise environments. Enterprise work requires coordinated steps, system integrations, governance controls, and failure handling, which LLMs alone cannot manage. AI agent workflow orchestration provides the missing infrastructure by managing task sequencing, retry, approvals, monitoring, and policy enforcement. By separating LLM reasoning from workflow exe...
