AI agents are entering their rebuild era as enterprises confront the reliability problem

Enterprises moving AI agents into production are finding that LLM quality is only part of the challenge. Temporal’s Preeti Somal says many companies are rebuilding first-generation agents around workflow orchestration, state management, observability, governance, and failure recovery after early deployments proved fragile.

The agent market is shifting from experimentation to infrastructure maturity, where reliability and operational controls matter as much as model capability. This favors platforms that provide durable execution and visibility across long-running AI workflows, as enterprises demand systems that can survive real-world complexity.