Maxim Fateev on why durable execution matters for AI agents

AI agents have become ubiquitous, with companies frequently encountering the challenge of maintaining state during execution failures—a problem historically addressed in distributed systems. WorkOS CEO Michael Grinich and Temporal CEO Maxim Fateev, at HumanX 2026, discussed the importance of durable execution, where workflows persist through crashes and infrastructure failures, ensuring no loss of state. Unlike deterministic traditional workflows, AI agents are unpredictable, relying on external services, making them prone to failures during long-running tasks. Temporal addresses this by decoupling workflow logic from execution infrastructure, offering persistence, retries, and scheduling. This approach treats durable execution as an infrastructure primitive, providing reliability without imposing coding structures. Temporal's model is increasingly adopted by AI-native companies for its audit trail capabilities, crucial for visibility in complex workflows. Fateev highlighted that durable execution, vital for AI agents, aligns with the industry's need for resilient, production-ready solutions.