Case Study: Global Insurer and Financial Services Provider achieves 92% handwriting recognition accuracy and 75% reduction in manual processing with AntWorks' Cognitive Machine Reading

Global Insurer Conquers Handwriting Data Digitisation

Global Insurer and Financial Services Provider, a global insurer with over 8,000 employees and more than $530M in revenue, faced a high-volume, manual Long-Term Care process for bank authorisation change documents that included handwritten fields, signatures and other unstructured data. They engaged AntWorks to address the handwriting digitisation and signature validation challenge using AntWorks’ Cognitive Machine Reading (CMR).

AntWorks implemented CMR with document pre-processing and indexing, deep‑learning extraction of handwritten fields and checkbox/signature verification, a quality-check screen for assistive and adaptive learning, and API integrations to feed clean data into downstream systems. AntWorks’ solution delivered 85–92% handwriting recognition accuracy, a 75% reduction in manual processing, faster turnaround, higher productivity and improved workflow management.