How Coverwatch uses Temporal to orchestrate AI-powered insurance workflows

Coverwatch, a San Francisco-based AI-native commercial insurance brokerage startup, utilizes Temporal to streamline and automate complex insurance workflows. The company blends AI agents with human oversight to manage risk portfolios, identify coverage gaps, and negotiate better insurance pricing. The traditional insurance brokerage process is highly operational and asynchronous, involving multiple communication channels and edge cases, making automation challenging. By adopting Temporal, Coverwatch coordinates long-running tasks and manages various handoffs between customers, brokers, underwriters, and external systems, ensuring the process is more efficient and reliable. Temporal's platform allows workflows to be modeled as durable processes, supporting immediate execution, pausing for review, and retrying when dependencies fail, thus centralizing workflow history and easing auditing and debugging. This integration has enhanced development speed and stability, eliminating the need for custom-built orchestration infrastructure and allowing the small team to focus on domain-specific logic rather than system management.