Case Study: US Financial Services Firm achieves faster underwriting turnaround for 600-page offering documents with EdgeVerve's XtractEdge

US Financial Services Firm Speeds-Up Underwriting

The US Financial Services Firm, a clearing and settlement provider, struggled with a time-consuming underwriting eligibility review that required parsing up to 600‑page prospectuses and varied supplemental documents in multiple languages and formats. Determining legal, financial and operational compliance across hundreds of pages under tight pre‑closing deadlines created heavy manual effort and delay, so the firm engaged EdgeVerve and its XtractEdge document‑AI platform to accelerate and scale the process.

EdgeVerve implemented XtractEdge and built AI models (using CNN for paragraph intent and SpaCy for entity extraction), plus post‑processing rules, reusable models, relation‑wise tuning, traceability and a hyper‑automation framework for straight‑through processing. The solution streamlined eligibility review workflows, converted unstructured content into structured data at scale, reduced manual effort and model development time, and enabled the firm to determine underwriting eligibility within required timeframes—significantly improving underwriting productivity and turnaround.