A global insurance provider achieved a 5% improvement in their Submission-to-Quote ratio and enhanced underwriting efficiency. This leading commercial insurance company sought to optimize underwriting and submission management for better data handling. The client faced slow processing that resulted in lost business, underwriters spending excessive time on non-core tasks, unstructured communication with brokers, and limited reporting insights.

We implemented our AI-Next Commercial Insurance platform, utilizing Document AI to extract and enrich submission data. Key features included a unified interface for tracking submissions and prioritized processing to reduce underwriting leakage.

Download the case study to learn in-depth how they improved their Submission-to-Quote ratio by 5% and increased ‘Quote-to-Bind’ by over 15% with EdgeVerve AI-Next.