Why aren’t standard workflow engines ideal for agentic AI workloads?

Standard workflow engines are not ideal for most agentic AI workloads. Most are engineered for fixed DAGs, scheduled data pipelines, or CI/CD tasks, not long-running, stateful runs with probabilistic steps like LLM interactions. They lack native support for durable execution across non-deterministic workflow interruptions. Note that durable execution here does not equate to exactly-once delivery, so alignment with specific needs requires validation.