Case Study: Leading North American Health Insuring Company achieves 98% invoice line-level data extraction accuracy with Zycus Merlin AI

Leading North American Health Insurer achieves 98% accuracy with Zycus's AI-Powered Extraction of Invoice Line-Level data

Leading North American Health Insuring Company, a multi‑billion insurer serving over 7,000 employers and individuals in New Jersey, needed to automate invoice data extraction to reduce reliance on manual processing, scale invoice volume handling, centralize paper and electronic invoice error handling, and cut AP costs and paper use. They engaged Zycus and implemented the Merlin AI-powered Invoice Reader Bot from Zycus’ Accounts Payable Invoice Automation (APIA) suite.

Zycus deployed the Merlin Invoice Reader Bot to extract line‑level invoice data using NLP and self‑learning capabilities, cutting invoice cycle time from 5 minutes to 1.19 minutes (‑75%), improving line‑level accuracy from 65% to 98% (+33%), and reducing clicks per invoice from 14 to 7 (‑50%). Zycus’ solution reduced financial risk, lowered AP operating costs and FTE effort, and delivered faster, more accurate invoice processing.