Coverwatch, an AI-native commercial insurance brokerage, uses Temporal to orchestrate long-running insurance workflows that combine AI agents, human broker review, and carrier submissions. Commercial insurance involves highly asynchronous, multi-party processes that can span days or weeks — traditional queue-based or DAG-based tools were a poor fit. By modeling each submission as a durable Temporal Workflow, Coverwatch avoids building custom retry logic, state machines, and message queue infrastructure. Temporal Signals enable human-in-the-loop review without routing broker decisions into a separate system. Key takeaways include: durable execution is the right foundation for agentic workflows, workflow history is a first-class engineering asset (even for AI coding agents diagnosing failures), and small teams can skip the orchestration infrastructure tax by using Temporal Cloud.
