This is like giving your underwriting team a tireless digital co‑pilot that can instantly read applications, pull in internal and external data, summarize risks, and suggest decisions—while still letting humans stay in control for the final call.
Traditional underwriting is slow, manual, and fragmented across many systems and documents, leading to high costs, long turnaround times, inconsistent decisions, and missed opportunities for more precise pricing and risk selection.
Deep integration of Gen AI into underwriting workflows, proprietary risk and loss data, and accumulated underwriting rules and playbooks that are not easily replicated by competitors.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and latency when processing large volumes of unstructured documents and third-party data per submission.
Early Majority
Positions Gen AI not as a standalone chatbot but as an embedded capability across the end-to-end underwriting value chain—from intake and triage through risk assessment, pricing support, documentation, and portfolio insight—framed within insurance-specific processes and controls.
108 use cases in this application