How to think about agentic solutions for the enterprise

This post highlights the critical gap between AI experimentation and production-ready enterprise AI systems, emphasizing the need for durable execution. It details how current AI frameworks often lack the reliability, observability, and state management required for long-running, complex workflows. The post argues that Temporal's Durable Execution provides the missing backbone for enterprise AI by enabling automatic state tracking, intelligent failure retries, crash recovery, and complete visibility, contrasting this with the limitations of existing agent frameworks and memory systems. It cites case studies of companies like Replit, ZoomInfo, and Gorgias that have successfully transitioned to durable orchestration for their AI applications.