A mid-size insurance broker struggled with manual processing of 50–60 pages of carrier documents to generate client quotes annually. Manual processing introduced errors, was time-consuming, and was not scalable.
We implemented a cloud-based automation pipeline using Google Cloud services and Document AI. As part of the solution, we developed custom models for classification and data extraction and built process orchestration to generate quotes using Cloud Functions and Go (Golang).
80% reduction in manual effort. Near-zero errors in premium calculations. Higher employee productivity. 4–5x increase in quote throughput without hiring additional staff, enabling the business to take on up to 50% more customers and revenue without adding headcount.
This case demonstrates our capability to help small to mid-size companies modernize operations and achieve enterprise-grade efficiency without increasing headcount, by leveraging AI and automation.
