Case Study: a fast-growing US-based MGA achieves 99% accurate submission intake and 250% efficiency gains with Notch

Fast-growing US-based MGA boosts submission intake accuracy to 99% with Notch

A fast-growing US-based MGA was struggling with manual processing of fragmented broker submissions arriving through multiple channels across 10 P&C lines and 25 states. The company partnered with Notch to automate its submission intake and triage workflow using agentic AI purpose-built for insurance operations to address challenges with inconsistent data extraction, state-specific complexity, and slow quote turnaround.

Notch implemented an agentic AI workflow that transformed unstructured submissions into a single structured record, achieving 99% accuracy in extraction and rule-based processing. The solution delivered more than 250% efficiency gains in intake operations, improved first-pass completeness, and accelerated quote turnaround by automating the consolidation, validation, and routing of submission data directly into the MGA's existing systems.