Case Study: Large Commercial Bank achieves thousands of hours saved and reduced operational risk with Cortical.io SemanticPro

How a large bank saved thousands of hours of manual labor by automating credit agreement analysis

Large Commercial Bank faced a labor-intensive, high-risk process for reviewing long, bespoke wholesale credit agreements where complex covenant language and pricing tables made automation difficult. To address this, the bank engaged Cortical.io and deployed Cortical.io SemanticPro to explore meaning-based extraction and classification of covenants and other key provisions.

Cortical.io implemented SemanticPro Extract & Analyze with a short training phase (under 50 example agreements) and a human-in-the-loop workflow, enabling the bank to extract covenant structures “at the press of a button,” classify covenants, cluster related documents, and integrate results into existing loan systems. The solution delivered measurable impact within weeks: thousands of hours of manual labor saved, drastically reduced operational risk, faster and better wholesale credit risk assessment, and improved ability to predict workflows and capital allocation.